IDEAS home Printed from https://ideas.repec.org/e/c/pde16.html
   My authors  Follow this author

Rommert Dekker

Citations

Many of the citations below have been collected in an experimental project, CitEc, where a more detailed citation analysis can be found. These are citations from works listed in RePEc that could be analyzed mechanically. So far, only a minority of all works could be analyzed. See under "Corrections" how you can help improve the citation analysis.

Working papers

  1. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Yazdekhasti, Amin & sharifzadeh, Shila & Ma, Junfeng, 2022. "A two-echelon two-indenture warranty distribution network development and optimization under batch-ordering inventory policy," International Journal of Production Economics, Elsevier, vol. 249(C).
    2. Farhadi, Mohammad & Shahrokhi, Mahmoud & Rahmati, Seyed Habib A, 2022. "Developing a supplier selection model based on Markov chain and probability tree for a k-out-of-N system with different quality of spare parts," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Rippe, Christoph & Kiesmüller, Gudrun P., 2023. "The repair kit problem with imperfect advance demand information," European Journal of Operational Research, Elsevier, vol. 304(2), pages 558-576.
    4. Lee, Juseong & Mitici, Mihaela, 2022. "Multi-objective design of aircraft maintenance using Gaussian process learning and adaptive sampling," Reliability Engineering and System Safety, Elsevier, vol. 218(PA).
    5. Van der Auweraer, Sarah & Zhu, Sha & Boute, Robert N., 2021. "The value of installed base information for spare part inventory control," International Journal of Production Economics, Elsevier, vol. 239(C).
    6. Małgorzata Jasiulewicz-Kaczmarek & Katarzyna Antosz & Ryszard Wyczółkowski & Dariusz Mazurkiewicz & Bo Sun & Cheng Qian & Yi Ren, 2021. "Application of MICMAC, Fuzzy AHP, and Fuzzy TOPSIS for Evaluation of the Maintenance Factors Affecting Sustainable Manufacturing," Energies, MDPI, vol. 14(5), pages 1-30, March.
    7. Zhu, Mixin & Zhou, Xiaojun, 2022. "Hypergraph-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    8. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    9. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    10. Lolli, Francesco & Coruzzolo, Antonio Maria & Peron, Mirco & Sgarbossa, Fabio, 2022. "Age-based preventive maintenance with multiple printing options," International Journal of Production Economics, Elsevier, vol. 243(C).
    11. Turan, Hasan Hüseyin & Atmis, Mahir & Kosanoglu, Fuat & Elsawah, Sondoss & Ryan, Michael J., 2020. "A risk-averse simulation-based approach for a joint optimization of workforce capacity, spare part stocks and scheduling priorities in maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    12. Amniattalab, Ayda & Frenk, J.B.G. & Hekimoğlu, Mustafa, 2023. "On spare parts demand and the installed base concept: A theoretical approach," International Journal of Production Economics, Elsevier, vol. 266(C).
    13. Kafiabad, Shayan Tavakoli & Kazemi Zanjani, Masoumeh & Nourelfath, Mustapha, 2020. "Integrated planning of operations and on-job training in maintenance logistics networks," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    14. Zhu, Sha & van Jaarsveld, Willem & Dekker, Rommert, 2022. "Critical project planning and spare parts inventory management in shutdown maintenance," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    15. Boram Choi & Jong Hwan Suh, 2020. "Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea," Sustainability, MDPI, vol. 12(15), pages 1-20, July.

  2. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Dekker, R., 2017. "Literature Review - the vaccine supply chain," Econometric Institute Research Papers EI2017-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Juliano Marçal Lopes & Coralys Colon Morales & Michelle Alvarado & Vidal Augusto Z. C. Melo & Leonardo Batista Paiva & Eduardo Mario Dias & Panos M. Pardalos, 2022. "Optimization methods for large-scale vaccine supply chains: a rapid review," Annals of Operations Research, Springer, vol. 316(1), pages 699-721, September.
    2. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2022. "Influenza vaccine supply chain coordination under uncertain supply and demand," European Journal of Operational Research, Elsevier, vol. 297(3), pages 930-948.
    3. Emanuele Blasioli & Bahareh Mansouri & Srinivas Subramanya Tamvada & Elkafi Hassini, 2023. "Vaccine Allocation and Distribution: A Review with a Focus on Quantitative Methodologies and Application to Equity, Hesitancy, and COVID-19 Pandemic," SN Operations Research Forum, Springer, vol. 4(2), pages 1-32, June.
    4. Esmizadeh, Yalda & Bashiri, Mahdi & Jahani, Hamed & Almada-Lobo, Bernardo, 2021. "Cold chain management in hierarchical operational hub networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    5. Zéphirin Nganmeni & Roland Pongou & Bertrand Tchantcho & Jean-Baptiste Tondji, 2022. "Vaccine and Inclusion," Working Papers 2202E Classification-C62,, University of Ottawa, Department of Economics.
    6. De Boeck, Kim & Decouttere, Catherine & Vandaele, Nico, 2020. "Vaccine distribution chains in low- and middle-income countries: A literature review," Omega, Elsevier, vol. 97(C).
    7. Calafiore, Giuseppe Carlo & Parino, Francesco & Zino, Lorenzo & Rizzo, Alessandro, 2023. "Dynamic planning of a two-dose vaccination campaign with uncertain supplies," European Journal of Operational Research, Elsevier, vol. 304(3), pages 1269-1278.
    8. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Xie, Lei & Hou, Pengwen & Han, Hongshuai, 2021. "Implications of government subsidy on the vaccine product R&D when the buyer is risk averse," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 146(C).
    10. Enayati, Shakiba & Özaltın, Osman Y., 2020. "Optimal influenza vaccine distribution with equity," European Journal of Operational Research, Elsevier, vol. 283(2), pages 714-725.
    11. Kamran, Mehdi A. & Kia, Reza & Goodarzian, Fariba & Ghasemi, Peiman, 2023. "A new vaccine supply chain network under COVID-19 conditions considering system dynamic: Artificial intelligence algorithms," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    12. Fadaki, Masih & Abareshi, Ahmad & Far, Shaghayegh Maleki & Lee, Paul Tae-Woo, 2022. "Multi-period vaccine allocation model in a pandemic: A case study of COVID-19 in Australia," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    13. Muhammad Umar Farooq & Amjad Hussain & Tariq Masood & Muhammad Salman Habib, 2021. "Supply Chain Operations Management in Pandemics: A State-of-the-Art Review Inspired by COVID-19," Sustainability, MDPI, vol. 13(5), pages 1-33, February.
    14. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Gendreau, Michel & Dolgui, Alexandre & Meyer, Patrick, 2023. "Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1249-1272.
    15. Yadav, Amit Kumar & Shweta, & Kumar, Dinesh, 2023. "Blockchain technology and vaccine supply chain: Exploration and analysis of the adoption barriers in the Indian context," International Journal of Production Economics, Elsevier, vol. 255(C).
    16. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.
    17. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    18. Muckstadt, John A. & Klein, Michael G. & Jackson, Peter L. & Gougelet, Robert M. & Hupert, Nathaniel, 2023. "Efficient and effective large-scale vaccine distribution," International Journal of Production Economics, Elsevier, vol. 262(C).
    19. Hosseini-Motlagh, Seyyed-Mahdi & Samani, Mohammad Reza Ghatreh & Homaei, Shamim, 2023. "Design of control strategies to help prevent the spread of COVID-19 pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 219-238.
    20. Sengul Orgut, Irem & Freeman, Nickolas & Lewis, Dwight & Parton, Jason, 2023. "Equitable and effective vaccine access considering vaccine hesitancy and capacity constraints," Omega, Elsevier, vol. 120(C).
    21. Alexandar Angelus & Özalp Özer, 2022. "On the large‐scale production of a new vaccine," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 3043-3060, July.
    22. Wang, Xin & Jiang, Ruiwei & Qi, Mingyao, 2023. "A robust optimization problem for drone-based equitable pandemic vaccine distribution with uncertain supply," Omega, Elsevier, vol. 119(C).
    23. Faghih-Roohi, Shahrzad & Akcay, Alp & Zhang, Yingqian & Shekarian, Ehsan & de Jong, Eelco, 2020. "A group risk assessment approach for the selection of pharmaceutical product shipping lanes," International Journal of Production Economics, Elsevier, vol. 229(C).
    24. Zheng, Ting & Grosse, Eric H. & Glock, Christoph H., 2022. "Exploring the potentials of using Eye Tracking in logistics: a systematic literature review and concept," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 136467, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    25. Sinha, Priyank & Kumar, Sameer & Chandra, Charu, 2023. "Strategies for ensuring required service level for COVID-19 herd immunity in Indian vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 304(1), pages 339-352.
    26. Eugenia Ama Andoh & Hao Yu, 2023. "A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines," Annals of Operations Research, Springer, vol. 328(1), pages 75-105, September.
    27. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.
    28. Ece Zeliha Demirci & Nesim Kohen Erkip, 2020. "Designing intervention scheme for vaccine market: a bilevel programming approach," Flexible Services and Manufacturing Journal, Springer, vol. 32(2), pages 453-485, June.
    29. Wang, Fan & Xu, Danni & Zhuo, Xiaopo & Zhang, Chao & Liu, Yaoqi, 2022. "Improving consumer welfare in vaccine market: Pricing, government subsidies and consumer awareness," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    30. Hu, Hui & Xu, Jiajun & Liu, Mengqi & Lim, Ming K., 2023. "Vaccine supply chain management: An intelligent system utilizing blockchain, IoT and machine learning," Journal of Business Research, Elsevier, vol. 156(C).
    31. Almulhim, Tarifa & Barahona, Igor, 2023. "An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    32. Andreea Avramescu & Richard Allmendinger & Manuel L'opez-Ib'a~nez, 2021. "Managing Manufacturing and Delivery of Personalised Medicine: Current and Future Models," Papers 2105.12699, arXiv.org.
    33. Dastgoshade, Sohaib & Shafiee, Mohammad & Klibi, Walid & Shishebori, Davood, 2022. "Social equity-based distribution networks design for the COVID-19 vaccine," International Journal of Production Economics, Elsevier, vol. 250(C).
    34. Chiara F. Del Bo, 2023. "Institutional quality and COVID-19 vaccination: does decentralization matter?," Letters in Spatial and Resource Sciences, Springer, vol. 16(1), pages 1-24, December.
    35. Hongmei Sun & Fuminori Toyasaki & Ioanna Falagara Sigala, 2023. "Incentivizing at‐risk production capacity building for COVID‐19 vaccines," Production and Operations Management, Production and Operations Management Society, vol. 32(5), pages 1550-1566, May.
    36. Fariba Goodarzian & Ali Navaei & Behdad Ehsani & Peiman Ghasemi & Jesús Muñuzuri, 2023. "Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions," Annals of Operations Research, Springer, vol. 328(1), pages 531-575, September.
    37. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    38. Manupati, Vijaya Kumar & Schoenherr, Tobias & Subramanian, Nachiappan & Ramkumar, M. & Soni, Bhanushree & Panigrahi, Suraj, 2021. "A multi-echelon dynamic cold chain for managing vaccine distribution," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 156(C).

  3. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Dekker, R., 2017. "The benefits of combining early aspecific vaccination with later specific vaccination," Econometric Institute Research Papers EI2017-03, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Lu, Xuefei & Borgonovo, Emanuele, 2023. "Global sensitivity analysis in epidemiological modeling," European Journal of Operational Research, Elsevier, vol. 304(1), pages 9-24.
    2. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Gendreau, Michel & Dolgui, Alexandre & Meyer, Patrick, 2023. "Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1249-1272.
    3. Lin, Qi & Zhao, Qiuhong & Lev, Benjamin, 2020. "Cold chain transportation decision in the vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 283(1), pages 182-195.
    4. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Dekker, R., 2017. "Literature Review - the vaccine supply chain," Econometric Institute Research Papers EI2017-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Thul, Lawrence & Powell, Warren, 2023. "Stochastic optimization for vaccine and testing kit allocation for the COVID-19 pandemic," European Journal of Operational Research, Elsevier, vol. 304(1), pages 325-338.
    6. Almulhim, Tarifa & Barahona, Igor, 2023. "An extended picture fuzzy multicriteria group decision analysis with different weights: A case study of COVID-19 vaccine allocation," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).

  4. Kim, T.Y. & Dekker, R. & Heij, C., 2016. "The value of express delivery services for cross-border e-commerce in European Union markets," Econometric Institute Research Papers EI2016-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Tamara Bińczak & Filip Kaczmarek & Jakub Rybacki, 2018. "Determinants of E-Commerce Turnover in Europe: Consumer Protection Matters," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 3, pages 125-141.
    2. Yu Wang (Avery. W) & Yi Wang & Soo Hee Lee, 2017. "The Effect of Cross-Border E-Commerce on China’s International Trade: An Empirical Study Based on Transaction Cost Analysis," Sustainability, MDPI, vol. 9(11), pages 1-13, November.
    3. Elżbieta Roszko-Wójtowicz & Gagan Deep Sharma & Barbara Dańska-Borsiak & Maria M. Grzelak, 2024. "Innovation-Driven E-Commerce Growth in the EU: An Empirical Study of the Propensity for Online Purchases and Sustainable Consumption," Sustainability, MDPI, vol. 16(4), pages 1-28, February.

  5. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Wallinga, J. & Dekker, R., 2016. "The most efficient critical vaccination coverage and its equivalence with maximizing the herd effect," Econometric Institute Research Papers EI2016-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Enayati, Shakiba & Özaltın, Osman Y., 2020. "Optimal influenza vaccine distribution with equity," European Journal of Operational Research, Elsevier, vol. 283(2), pages 714-725.
    3. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.
    4. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Dekker, R., 2017. "Literature Review - the vaccine supply chain," Econometric Institute Research Papers EI2017-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Lotty E. Westerink‐Duijzer & Loe P. J. Schlicher & Marieke Musegaas, 2020. "Core Allocations for Cooperation Problems in Vaccination," Production and Operations Management, Production and Operations Management Society, vol. 29(7), pages 1720-1737, July.

  6. Mulder, J. & Dekker, R., 2016. "Will liner ships make fewer port calls per route?," Econometric Institute Research Papers EI2016-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Mulder, J. & Dekker, R., 2016. "Optimization in container liner shipping," Econometric Institute Research Papers EI2016-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  7. van Riessen, B. & Negenborn, R.R. & Dekker, R., 2016. "Real-time Container Transport Planning with Decision Trees based on Offline Obtained Optimal Solutions," Econometric Institute Research Papers EI2016-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Wenqing He & Zhihong Jin & Ying Huang & Shida Xu, 2021. "The Inland Container Transportation Problem with Separation Mode Considering Carbon Dioxide Emissions," Sustainability, MDPI, vol. 13(3), pages 1-16, February.
    2. Thibault Delbart & Yves Molenbruch & Kris Braekers & An Caris, 2021. "Uncertainty in Intermodal and Synchromodal Transport: Review and Future Research Directions," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    3. Bart Riessen & Rudy R. Negenborn & Rommert Dekker, 2017. "The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 634-658, December.
    4. Guo, Wenjing & Atasoy, Bilge & van Blokland, Wouter Beelaerts & Negenborn, Rudy R., 2021. "Global synchromodal transport with dynamic and stochastic shipment matching," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.
    7. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    8. Bernard G. Zweers & Sandjai Bhulai & Rob D. van der Mei, 2019. "Optimizing barge utilization in hinterland container transportation," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(3), pages 253-271, April.
    9. Andreas Balster & Ole Hansen & Hanno Friedrich & André Ludwig, 2020. "An ETA Prediction Model for Intermodal Transport Networks Based on Machine Learning," Business & Information Systems Engineering: The International Journal of WIRTSCHAFTSINFORMATIK, Springer;Gesellschaft für Informatik e.V. (GI), vol. 62(5), pages 403-416, October.
    10. Bouchery, Yann & Woxenius, Johan & Fransoo, Jan C., 2020. "Identifying the market areas of port-centric logistics and hinterland intermodal transportation," European Journal of Operational Research, Elsevier, vol. 285(2), pages 599-611.
    11. Benjamin M. Abdel-Karim & Nicolas Pfeuffer & Oliver Hinz, 2021. "Machine learning in information systems - a bibliographic review and open research issues," Electronic Markets, Springer;IIM University of St. Gallen, vol. 31(3), pages 643-670, September.
    12. Wenjing Guo & Bilge Atasoy & Wouter Beelaerts Blokland & Rudy R. Negenborn, 2022. "Anticipatory approach for dynamic and stochastic shipment matching in hinterland synchromodal transportation," Flexible Services and Manufacturing Journal, Springer, vol. 34(2), pages 483-517, June.
    13. Mar-Ortiz, Julio & Castillo-García, Norberto & Gracia, María D., 2020. "A decision support system for a capacity management problem at a container terminal," International Journal of Production Economics, Elsevier, vol. 222(C).
    14. Dornemann, Jorin & Rückert, Nicolas & Fischer, Kathrin & Taraz, Anusch, 2020. "Artificial intelligence and operations research in maritime logistics," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Data Science in Maritime and City Logistics: Data-driven Solutions for Logistics and Sustainability. Proceedings of the Hamburg International Conferen, volume 30, pages 337-381, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    15. Gumuskaya, Volkan & van Jaarsveld, Willem & Dijkman, Remco & Grefen, Paul & Veenstra, Albert, 2020. "Dynamic barge planning with stochastic container arrivals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    16. Hilde Heggen & Yves Molenbruch & An Caris & Kris Braekers, 2019. "Intermodal Container Routing: Integrating Long-Haul Routing and Local Drayage Decisions," Sustainability, MDPI, vol. 11(6), pages 1-36, March.
    17. Bernard G. Zweers & Sandjai Bhulai & Rob D. Mei, 2021. "Planning hinterland container transportation in congested deep-sea terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 583-622, September.
    18. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.
    19. Akyüz, M. Hakan & Dekker, Rommert & Sharif Azadeh, Shadi, 2023. "Partial and complete replanning of an intermodal logistic system under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    20. Fan Bu & Heather Nachtmann, 2023. "Literature review and comparative analysis of inland waterways transport: “Container on Barge”," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 140-173, March.

  8. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Wallinga, J. & Dekker, R., 2015. "Dose-optimal vaccine allocation over multiple populations," Econometric Institute Research Papers EI2015-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.
    2. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Dekker, R., 2017. "Literature Review - the vaccine supply chain," Econometric Institute Research Papers EI2017-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Westerink-Duijzer, L.E. & van Jaarsveld, W.L. & Wallinga, J. & Dekker, R., 2016. "The most efficient critical vaccination coverage and its equivalence with maximizing the herd effect," Econometric Institute Research Papers EI2016-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  9. van Riessen, B. & Negenborn, R.R. & Dekker, R. & Lodewijks, G., 2013. "Impact and relevance of transit disturbances on planning in intermodal container networks," Econometric Institute Research Papers EI 2013-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Brümmerstedt, Katrin & Meyer-Van Beek, Hendrik & Münsterberg, Torsten, 2017. "Comparative analysis of synchromodality in major European seaports," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Jahn, Carlos & Kersten, Wolfgang & Ringle, Christian M. (ed.), Digitalization in Maritime and Sustainable Logistics: City Logistics, Port Logistics and Sustainable Supply Chain Management in the Digital Age. Proce, volume 24, pages 59-76, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

  10. van Riessen, B. & Negenborn, R.R. & Dekker, R. & Lodewijks, G., 2013. "Service network design for an intermodal container network with flexible due dates/times and the possibility of using subcontracted transport," Econometric Institute Research Papers EI2013-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Reis, Vasco, 2015. "Should we keep on renaming a +35-year-old baby?," Journal of Transport Geography, Elsevier, vol. 46(C), pages 173-179.
    2. Xudong Diao & Ai Gao & Xin Jin & Hui Chen, 2022. "A Layer-Based Relaxation Approach for Service Network Design," Sustainability, MDPI, vol. 14(20), pages 1-13, October.
    3. Wenqian Liu & Xiaoning Zhu & Li Wang, 2019. "Distribution Organization Optimization for Inbound China Railway Express at Alataw Pass Railway Station," Sustainability, MDPI, vol. 11(24), pages 1-19, December.
    4. van Riessen, B. & Negenborn, R.R. & Dekker, R. & Lodewijks, G., 2013. "Impact and relevance of transit disturbances on planning in intermodal container networks," Econometric Institute Research Papers EI 2013-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Riccardo Giusti & Daniele Manerba & Roberto Tadei, 2021. "Smart Steaming: A New Flexible Paradigm for Synchromodal Logistics," Sustainability, MDPI, vol. 13(9), pages 1-21, April.
    6. Zhang, X. & Liu, X., 2022. "A two-stage robust model for express service network design with surging demand," European Journal of Operational Research, Elsevier, vol. 299(1), pages 154-167.
    7. Dayarian, Iman & Rocco, Adolfo & Erera, Alan & Savelsbergh, Martin, 2022. "Operations design for high-velocity intra-city package service," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 150-168.
    8. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  11. van der Plas, C. & Tervonen, T. & Dekker, R., 2012. "Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design," Econometric Institute Research Papers EI2012-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hashem Omrani & Farzane Adabi & Narges Adabi, 2017. "Designing an efficient supply chain network with uncertain data: a robust optimization—data envelopment analysis approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(7), pages 816-828, July.

  12. Pourakbar, M. & van der Laan, E.A. & Dekker, R., 2011. "End-of-Life Inventory Problem with Phase-out Returns," Econometric Institute Research Papers EI 2011-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    2. Saurin, Tarcisio Abreu & Werle, Natalia Jaeger Basso, 2017. "A framework for the analysis of slack in socio-technical systems," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 439-451.
    3. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    4. Tianji Yang & Chao Fu & Xinbao Liu & Jun Pei & Lin Liu & Panos M. Pardalos, 2018. "Closed-loop supply chain inventory management with recovery information of reusable containers," Journal of Combinatorial Optimization, Springer, vol. 35(1), pages 266-292, January.
    5. Mabel C. Chou & Chee-Khian Sim & Xue-Ming Yuan, 2020. "Policies for inventory models with product returns forecast from past demands and past sales," Annals of Operations Research, Springer, vol. 288(1), pages 137-180, May.
    6. Pourakbar, M. & Dekker, R., 2011. "Customer Differentiated End-of-Life Inventory Problem," Econometric Institute Research Papers EI 2011-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Behfard, S. & Al Hanbali, A. & van der Heijden, M.C. & Zijm, W.H.M., 2018. "Last Time Buy and repair decisions for fast moving parts," International Journal of Production Economics, Elsevier, vol. 197(C), pages 158-173.
    8. Behfard, S. & van der Heijden, M.C. & Al Hanbali, A. & Zijm, W.H.M., 2015. "Last time buy and repair decisions for spare parts," European Journal of Operational Research, Elsevier, vol. 244(2), pages 498-510.
    9. J. B. G. Frenk & Canan Pehlivan & Semih O. Sezer, 2019. "Order and exit decisions under non-increasing price curves for products with short life cycles," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 90(3), pages 365-397, December.
    10. van der Heijden, Matthieu & Iskandar, Bermawi P., 2013. "Last time buy decisions for products sold under warranty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 302-312.
    11. Zaarour, Nizar & Melachrinoudis, Emanuel & Solomon, Marius M., 2016. "Maximizing revenue of end of life items in retail stores," European Journal of Operational Research, Elsevier, vol. 255(1), pages 133-141.

  13. Dekker, R. & Bloemhof-Ruwaard, J.M. & Mallidis, I., 2011. "Operations Research for Green Logistics – An Overview of Aspects, Issues, Contributions and Challenges," Econometric Institute Research Papers EI2011-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. van der Plas, C. & Tervonen, T. & Dekker, R., 2012. "Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design," Econometric Institute Research Papers EI2012-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Lingyun Zhou & Dezhi Zhang & Shuangyan Li & Xiangyu Luo, 2023. "An Integrated Optimization Model of Green Supply Chain Network Design with Inventory Management," Sustainability, MDPI, vol. 15(16), pages 1-24, August.
    3. Yi Wang & Yafei Yang & Zhaoxiang Qin & Yefei Yang & Jun Li, 2023. "A Literature Review on the Application of Digital Technology in Achieving Green Supply Chain Management," Sustainability, MDPI, vol. 15(11), pages 1-18, May.
    4. Chan, Chi Kin & Lee, Y.C.E. & Campbell, J.F., 2013. "Environmental performance—Impacts of vendor–buyer coordination," International Journal of Production Economics, Elsevier, vol. 145(2), pages 683-695.
    5. Xu, Xiaoping & Zhang, Wei & He, Ping & Xu, Xiaoyan, 2017. "Production and pricing problems in make-to-order supply chain with cap-and-trade regulation," Omega, Elsevier, vol. 66(PB), pages 248-257.
    6. Boysen, Nils & Briskorn, Dirk & Schwerdfeger, Stefan, 2018. "The identical-path truck platooning problem," Transportation Research Part B: Methodological, Elsevier, vol. 109(C), pages 26-39.
    7. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    8. Fahimnia, Behnam & Sarkis, Joseph & Eshragh, Ali, 2015. "A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis," Omega, Elsevier, vol. 54(C), pages 173-190.
    9. Y Bouchery & Asma Ghaffari & Zied Jemai & Jan C Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Post-Print hal-01954465, HAL.
    10. Nicolás Deschle & Ernst Jan van Ark & René van Gijlswijk & Robbert Janssen, 2022. "Impact of Signalized Intersections on CO 2 and NO x Emissions of Heavy Duty Vehicles," Energies, MDPI, vol. 15(3), pages 1-19, February.
    11. Mingxuan Lu & Ruhe Xie & Peirong Chen & Yifeng Zou & Jie Tang, 2019. "Green Transportation and Logistics Performance: An Improved Composite Index," Sustainability, MDPI, vol. 11(10), pages 1-17, May.
    12. Marcus Brandenburg & Tim Gruchmann & Nelly Oelze, 2019. "Sustainable Supply Chain Management—A Conceptual Framework and Future Research Perspectives," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    13. Mallidis, Ioannis & Vlachos, Dimitrios & Iakovou, Eleftherios & Dekker, Rommert, 2014. "Design and planning for green global supply chains under periodic review replenishment policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 210-235.
    14. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    15. Jothi Basu, R. & Bai, Ruibin & Palaniappan, PL.K., 2015. "A strategic approach to improve sustainability in transportation service procurement," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 152-168.
    16. Kai Meng & Xiaoming Qian & Peihuang Lou & Jiong Zhang, 2020. "Smart recovery decision-making of used industrial equipment for sustainable manufacturing: belt lifter case study," Journal of Intelligent Manufacturing, Springer, vol. 31(1), pages 183-197, January.
    17. James J.H. Liou & Jolanta Tamošaitienė & Edmundas K. Zavadskas & Gwo-Hshiung Tzeng, 2016. "New hybrid COPRAS-G MADM Model for improving and selecting suppliers in green supply chain management," International Journal of Production Research, Taylor & Francis Journals, vol. 54(1), pages 114-134, January.
    18. Volker Frehe & Frank Teuteberg, 2017. "Information and communication technology in green logistics: status quo and research gaps," Management Review Quarterly, Springer, vol. 67(2), pages 65-96, April.
    19. Zhang, Fengli & Johnson, Dana & Johnson, Mark & Watkins, David & Froese, Robert & Wang, Jinjiang, 2016. "Decision support system integrating GIS with simulation and optimisation for a biofuel supply chain," Renewable Energy, Elsevier, vol. 85(C), pages 740-748.
    20. Manuel Ángel Fernández-Gámez & A. Manuel Gutiérrez-Ruiz & Rafael Becerra-Vicario & Daniel Ruiz-Palomo, 2019. "The Effects of Creating Shared Value on the Hotel Performance," Sustainability, MDPI, vol. 11(6), pages 1-16, March.
    21. Chabot, Thomas & Bouchard, Florence & Legault-Michaud, Ariane & Renaud, Jacques & Coelho, Leandro C., 2018. "Service level, cost and environmental optimization of collaborative transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 110(C), pages 1-14.
    22. Shoufeng Ji & Qi Sun, 2017. "Low-Carbon Planning and Design in B&R Logistics Service: A Case Study of an E-Commerce Big Data Platform in China," Sustainability, MDPI, vol. 9(11), pages 1-27, November.
    23. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    24. Golrizgashti, Seyedehfatemeh & Hosseini, SeyedHossein & Zhu, Qingyun & Sarkis, Joseph, 2023. "Evaluating supply chain dynamics in the presence of product deletion," International Journal of Production Economics, Elsevier, vol. 255(C).
    25. Mohammadi, M. & Torabi, S.A. & Tavakkoli-Moghaddam, R., 2014. "Sustainable hub location under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 89-115.
    26. Wen Qin & Xiaolie Qi, 2022. "Evaluation of Green Logistics Efficiency in Northwest China," Sustainability, MDPI, vol. 14(11), pages 1-14, June.
    27. José-Fernando Camacho-Vallejo & Lilian López-Vera & Alice E. Smith & José-Luis González-Velarde, 2022. "A tabu search algorithm to solve a green logistics bi-objective bi-level problem," Annals of Operations Research, Springer, vol. 316(2), pages 927-953, September.
    28. Chen, Xi, 2018. "When does store consolidation lead to higher emissions?," International Journal of Production Economics, Elsevier, vol. 202(C), pages 109-122.
    29. Rui Ren & Wanjie Hu & Jianjun Dong & Bo Sun & Yicun Chen & Zhilong Chen, 2019. "A Systematic Literature Review of Green and Sustainable Logistics: Bibliometric Analysis, Research Trend and Knowledge Taxonomy," IJERPH, MDPI, vol. 17(1), pages 1-25, December.
    30. Bai, Qingguo & Gong, Yeming (Yale) & Jin, Mingzhou & Xu, Xianhao, 2019. "Effects of carbon emission reduction on supply chain coordination with vendor-managed deteriorating product inventory," International Journal of Production Economics, Elsevier, vol. 208(C), pages 83-99.
    31. Kadziński, Miłosz & Tervonen, Tommi & Tomczyk, Michał K. & Dekker, Rommert, 2017. "Evaluation of multi-objective optimization approaches for solving green supply chain design problems," Omega, Elsevier, vol. 68(C), pages 168-184.
    32. Soysal, M. & Bloemhof-Ruwaard, J.M. & van der Vorst, J.G.A.J., 2014. "Modelling food logistics networks with emission considerations: The case of an international beef supply chain," International Journal of Production Economics, Elsevier, vol. 152(C), pages 57-70.
    33. Qiu, Rui & Xu, Jiuping & Ke, Ruimin & Zeng, Ziqiang & Wang, Yinhai, 2020. "Carbon pricing initiatives-based bi-level pollution routing problem," European Journal of Operational Research, Elsevier, vol. 286(1), pages 203-217.
    34. Sam Heshmati & Jannes Verstichel & Eline Esprit & Greet Vanden Berghe, 2019. "Alternative e-commerce delivery policies," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(3), pages 217-248, September.
    35. T. M. Rofin & Maheswar Singha Mahapatra & Biswajit Mahanty, 2021. "Impact of green retail operations on the profit of the manufacturer and the retailer under different pricing strategies," OPSEARCH, Springer;Operational Research Society of India, vol. 58(1), pages 125-143, March.
    36. Zahra Homayouni & Mir Saman Pishvaee & Hamed Jahani & Dmitry Ivanov, 2023. "A robust-heuristic optimization approach to a green supply chain design with consideration of assorted vehicle types and carbon policies under uncertainty," Annals of Operations Research, Springer, vol. 324(1), pages 395-435, May.
    37. Samaneh Shokravi & Sherah Kurnia, 2014. "A Step towards Developing a Sustainability Performance Measure within Industrial Networks," Sustainability, MDPI, vol. 6(4), pages 1-22, April.
    38. Dou, Yijie & Zhu, Qinghua & Sarkis, Joseph, 2014. "Evaluating green supplier development programs with a grey-analytical network process-based methodology," European Journal of Operational Research, Elsevier, vol. 233(2), pages 420-431.
    39. Cheng, Chun & Qi, Mingyao & Wang, Xingyi & Zhang, Ying, 2016. "Multi-period inventory routing problem under carbon emission regulations," International Journal of Production Economics, Elsevier, vol. 182(C), pages 263-275.
    40. Mirzapour Al-e-hashem, S.M.J. & Rekik, Yacine, 2014. "Multi-product multi-period Inventory Routing Problem with a transshipment option: A green approach," International Journal of Production Economics, Elsevier, vol. 157(C), pages 80-88.
    41. Ding, Huiping & Wang, Li & Zheng, Lucy, 2018. "Collaborative mechanism on profit allotment and public health for a sustainable supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 478-495.
    42. Micheli, Guido J.L. & Mantella, Fabio, 2018. "Modelling an environmentally-extended inventory routing problem with demand uncertainty and a heterogeneous fleet under carbon control policies," International Journal of Production Economics, Elsevier, vol. 204(C), pages 316-327.
    43. Dezhi Zhang & Xin Wang & Shuangyan Li & Nan Ni & Zhuo Zhang, 2018. "Joint optimization of green vehicle scheduling and routing problem with time-varying speeds," PLOS ONE, Public Library of Science, vol. 13(2), pages 1-20, February.
    44. Yuan, Quan & Hua, Zhongsheng & Shen, Bin, 2021. "An automated system of emissions permit trading for transportation firms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    45. Zhi-Hua Hu & Qing Li & Xian-Juan Chen & Yan-Feng Wang, 2014. "Sustainable Rent-Based Closed-Loop Supply Chain for Fashion Products," Sustainability, MDPI, vol. 6(10), pages 1-26, October.
    46. Goeke, Dominik, 2019. "Granular tabu search for the pickup and delivery problem with time windows and electric vehicles," European Journal of Operational Research, Elsevier, vol. 278(3), pages 821-836.
    47. Jack G.A.J. van der Vorst & Joost Snels, 2014. "Developments and Needs for Sustainable Agro-Logistics in Developing Countries," World Bank Publications - Reports 17834, The World Bank Group.
    48. Chunming Xu & Xiaojie Liu & Chenchen Wu & Baiyun Yuan, 2020. "Optimal Inventory Control Strategies for Deteriorating Items with a General Time-Varying Demand under Carbon Emission Regulations," Energies, MDPI, vol. 13(4), pages 1-20, February.
    49. Aleksander Banasik & Jacqueline M. Bloemhof-Ruwaard & Argyris Kanellopoulos & G. D. H. Claassen & Jack G. A. J. Vorst, 2018. "Multi-criteria decision making approaches for green supply chains: a review," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 366-396, September.
    50. Eskandarpour, Majid & Ouelhadj, Djamila & Hatami, Sara & Juan, Angel A. & Khosravi, Banafsheh, 2019. "Enhanced multi-directional local search for the bi-objective heterogeneous vehicle routing problem with multiple driving ranges," European Journal of Operational Research, Elsevier, vol. 277(2), pages 479-491.
    51. Kreuzer, Fabian Maximilian & Wilmsmeier, Gordon, 2014. "Energy efficiency and mobility: A roadmap towards a greener economy in Latin America and the Caribbean," Documentos de Proyectos 37148, Naciones Unidas Comisión Económica para América Latina y el Caribe (CEPAL).
    52. Ilkyeong Moon & Yoon Jea Jeong & Subrata Saha, 2016. "Fuzzy Bi-Objective Production-Distribution Planning Problem under the Carbon Emission Constraint," Sustainability, MDPI, vol. 8(8), pages 1-17, August.
    53. Leandro do C. Martins & Rafael D. Tordecilla & Juliana Castaneda & Angel A. Juan & Javier Faulin, 2021. "Electric Vehicle Routing, Arc Routing, and Team Orienteering Problems in Sustainable Transportation," Energies, MDPI, vol. 14(16), pages 1-30, August.
    54. Martí, Joana M. Comas & Tancrez, Jean-Sébastien & Seifert, Ralf W., 2015. "Carbon footprint and responsiveness trade-offs in supply chain network design," International Journal of Production Economics, Elsevier, vol. 166(C), pages 129-142.
    55. Onur Can Saka & Sinan Gürel & Tom Van Woensel, 2017. "Using cost change estimates in a local search heuristic for the pollution routing problem," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(2), pages 557-587, March.
    56. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    57. Sahar Validi & Arijit Bhattacharya & P. J. Byrne, 2020. "Sustainable distribution system design: a two-phase DoE-guided meta-heuristic solution approach for a three-echelon bi-objective AHP-integrated location-routing model," Annals of Operations Research, Springer, vol. 290(1), pages 191-222, July.
    58. Olapiriyakul, Sun & Nguyen, Thi T., 2019. "Land use and public health impact assessment in a supply chain network design problem: A case study," Journal of Transport Geography, Elsevier, vol. 75(C), pages 70-81.
    59. Turkensteen, Marcel, 2017. "The accuracy of carbon emission and fuel consumption computations in green vehicle routing," European Journal of Operational Research, Elsevier, vol. 262(2), pages 647-659.
    60. Nils Boysen & Dirk Briskorn & Simon Emde, 2018. "Scheduling electric vehicles and locating charging stations on a path," Journal of Scheduling, Springer, vol. 21(1), pages 111-126, February.
    61. Andreas Rudi & Magnus Fröhling & Konrad Zimmer & Frank Schultmann, 2016. "Freight transportation planning considering carbon emissions and in-transit holding costs: a capacitated multi-commodity network flow model," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(2), pages 123-160, June.
    62. Jabbarzadeh, Armin & Haughton, Michael & Pourmehdi, Fahime, 2019. "A robust optimization model for efficient and green supply chain planning with postponement strategy," International Journal of Production Economics, Elsevier, vol. 214(C), pages 266-283.
    63. Dong-Fang Wang & Qian-Li Dong & Zhi-Min Peng & Syed Abdul Rehman Khan & Arthur Tarasov, 2018. "The Green Logistics Impact on International Trade: Evidence from Developed and Developing Countries," Sustainability, MDPI, vol. 10(7), pages 1-19, June.
    64. Kaliyan Mathiyazhagan & Somak Sengupta & Deepak Mathivathanan, 2019. "Challenges for implementing green concept in sustainable manufacturing: a systematic review," OPSEARCH, Springer;Operational Research Society of India, vol. 56(1), pages 32-72, March.
    65. De, Manoranjan & Giri, B.C., 2020. "Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    66. Hiermann, Gerhard & Puchinger, Jakob & Ropke, Stefan & Hartl, Richard F., 2016. "The Electric Fleet Size and Mix Vehicle Routing Problem with Time Windows and Recharging Stations," European Journal of Operational Research, Elsevier, vol. 252(3), pages 995-1018.
    67. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    68. Chen, Jen-Ming & Hsu, Yu-Ting, 2017. "Revenue management for durable goods using trade-ins with certified pre-owned options," International Journal of Production Economics, Elsevier, vol. 186(C), pages 55-70.
    69. Michael F. Gorman & John-Paul Clarke & Amir Hossein Gharehgozli & Michael Hewitt & René de Koster & Debjit Roy, 2014. "State of the Practice: A Review of the Application of OR/MS in Freight Transportation," Interfaces, INFORMS, vol. 44(6), pages 535-554, December.
    70. Rothenbächer, Ann-Kathrin & Drexl, Michael & Irnich, Stefan, 2016. "Branch-and-price-and-cut for a service network design and hub location problem," European Journal of Operational Research, Elsevier, vol. 255(3), pages 935-947.
    71. Brandenburg, Marcus, 2017. "A hybrid approach to configure eco-efficient supply chains under consideration of performance and risk aspects," Omega, Elsevier, vol. 70(C), pages 58-76.
    72. Demir, Emrah & Bektaş, Tolga & Laporte, Gilbert, 2014. "A review of recent research on green road freight transportation," European Journal of Operational Research, Elsevier, vol. 237(3), pages 775-793.
    73. Xin Yao & Yuanyuan Cheng & Li Zhou & Malin Song, 2022. "Green efficiency performance analysis of the logistics industry in China: based on a kind of machine learning methods," Annals of Operations Research, Springer, vol. 308(1), pages 727-752, January.
    74. Konrad Zdun & Tadeusz Uhl, 2021. "Improvement of Properties of an Insulated Wall for Refrigerated Trailer-Numerical and Experimental Study," Energies, MDPI, vol. 15(1), pages 1-19, December.
    75. Bektaş, Tolga & Ehmke, Jan Fabian & Psaraftis, Harilaos N. & Puchinger, Jakob, 2019. "The role of operational research in green freight transportation," European Journal of Operational Research, Elsevier, vol. 274(3), pages 807-823.
    76. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    77. Martello, Silvano & Pinto Paixão, José M., 2012. "A look at the past and present of optimization – An editorial," European Journal of Operational Research, Elsevier, vol. 219(3), pages 638-640.
    78. Canan G. Corlu & Rocio de la Torre & Adrian Serrano-Hernandez & Angel A. Juan & Javier Faulin, 2020. "Optimizing Energy Consumption in Transportation: Literature Review, Insights, and Research Opportunities," Energies, MDPI, vol. 13(5), pages 1-33, March.
    79. Xiaohu Qian & Mingqiang Yin & Felix T. S. Chan & Kai Yue, 2023. "Winner Determination with Sustainable-Flexible Considerations Under Demand Uncertainty in Transportation Service Procurement Auctions," Networks and Spatial Economics, Springer, vol. 23(4), pages 953-984, December.
    80. Shuangyan Li & Yijing Liang & Zhenjie Wang & Dezhi Zhang, 2021. "An Optimization Model of a Sustainable City Logistics Network Design Based on Goal Programming," Sustainability, MDPI, vol. 13(13), pages 1-20, July.
    81. Thomas Kirschstein & Arne Heinold & Martin Behnke & Frank Meisel & Christian Bierwirth, 2022. "Eco‐labeling of freight transport services: Design, evaluation, and research directions," Journal of Industrial Ecology, Yale University, vol. 26(3), pages 801-814, June.
    82. Trevino-Martinez, Samuel & Sawhney, Rapinder & Shylo, Oleg, 2022. "Energy-carbon footprint optimization in sequence-dependent production scheduling," Applied Energy, Elsevier, vol. 315(C).
    83. Kannan, Devika & Jabbour, Ana Beatriz Lopes de Sousa & Jabbour, Charbel José Chiappetta, 2014. "Selecting green suppliers based on GSCM practices: Using fuzzy TOPSIS applied to a Brazilian electronics company," European Journal of Operational Research, Elsevier, vol. 233(2), pages 432-447.
    84. C. Briand & Y. He & S. U. Ngueveu, 2018. "Energy-efficient planning for supplying assembly lines with vehicles," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(4), pages 387-414, December.
    85. Gouda, Sirish Kumar & Jonnalagedda, Sreelata & Saranga, Haritha, 2016. "Design for the environment: Impact of regulatory policies on product development," European Journal of Operational Research, Elsevier, vol. 248(2), pages 558-570.
    86. Lei Wang & Weijia You & Yingying Zhou & Fei Meng, 2022. "How Does Green Supply Chain Management Promote the Success of Crowdfunding Projects? Empirical Research Based on the QCA Method," Sustainability, MDPI, vol. 14(19), pages 1-21, September.
    87. Anna Sciomachen & Maria Truvolo, 2023. "An Exact Approach for Selecting Pickup-Delivery Stations in Urban Areas to Reduce Distribution Emission Costs," Mathematics, MDPI, vol. 11(8), pages 1-18, April.
    88. Luis Pérez-Domínguez & Harish Garg & David Luviano-Cruz & Jorge Luis García Alcaraz, 2022. "Estimation of Linear Regression with the Dimensional Analysis Method," Mathematics, MDPI, vol. 10(10), pages 1-13, May.
    89. Sazvar, Z. & Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Akbari Jokar, M.R., 2014. "A bi-objective stochastic programming model for a centralized green supply chain with deteriorating products," International Journal of Production Economics, Elsevier, vol. 150(C), pages 140-154.
    90. Dong, Chuanwen & Transchel, Sandra & Hoberg, Kai, 2018. "An inventory control model for modal split transport: A tailored base-surge approach," European Journal of Operational Research, Elsevier, vol. 264(1), pages 89-105.
    91. Stenius, Olof & Marklund, Johan & Axsäter, Sven, 2018. "Sustainable multi-echelon inventory control with shipment consolidation and volume dependent freight costs," European Journal of Operational Research, Elsevier, vol. 267(3), pages 904-916.
    92. Tricoire, Fabien & Parragh, Sophie N., 2017. "Investing in logistics facilities today to reduce routing emissions tomorrow," Transportation Research Part B: Methodological, Elsevier, vol. 103(C), pages 56-67.
    93. Lixia Li & Yu Yang & Gaoyuan Qin, 2019. "Optimization of Integrated Inventory Routing Problem for Cold Chain Logistics Considering Carbon Footprint and Carbon Regulations," Sustainability, MDPI, vol. 11(17), pages 1-22, August.
    94. Bozorgi, Ali, 2016. "Multi-product inventory model for cold items with cost and emission consideration," International Journal of Production Economics, Elsevier, vol. 176(C), pages 123-142.
    95. Zajac, Sandra & Huber, Sandra, 2021. "Objectives and methods in multi-objective routing problems: a survey and classification scheme," European Journal of Operational Research, Elsevier, vol. 290(1), pages 1-25.
    96. Meherishi, Lavanya & Narayana, Sushmita A. & Ranjani, K.S., 2021. "Integrated product and packaging decisions with secondary packaging returns and protective packaging management," European Journal of Operational Research, Elsevier, vol. 292(3), pages 930-952.
    97. Lamba, Kuldeep & Singh, Surya Prakash, 2019. "Dynamic supplier selection and lot-sizing problem considering carbon emissions in a big data environment," Technological Forecasting and Social Change, Elsevier, vol. 144(C), pages 573-584.
    98. Saberi, Sara, 2018. "Sustainable, multiperiod supply chain network model with freight carrier through reduction in pollution stock," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 421-444.
    99. Schiffer, Maximilian & Walther, Grit, 2017. "The electric location routing problem with time windows and partial recharging," European Journal of Operational Research, Elsevier, vol. 260(3), pages 995-1013.
    100. Keyvanshokooh, Esmaeil & Ryan, Sarah M. & Kabir, Elnaz, 2016. "Hybrid robust and stochastic optimization for closed-loop supply chain network design using accelerated Benders decomposition," European Journal of Operational Research, Elsevier, vol. 249(1), pages 76-92.
    101. Ruifeng Gong & Jian Xue & Laijun Zhao & Oleksandra Zolotova & Xiaoqing Ji & Yan Xu, 2019. "A Bibliometric Analysis of Green Supply Chain Management Based on the Web of Science (WOS) Platform," Sustainability, MDPI, vol. 11(12), pages 1-18, June.
    102. Heilig, Leonard & Lalla-Ruiz, Eduardo & Voß, Stefan, 2017. "Multi-objective inter-terminal truck routing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 178-202.
    103. Fernández-Puratich, Harald & Rebolledo-Leiva, Ricardo & Hernández, Diógenes & Gómez-Lagos, Javier E. & Armengot-Carbo, Bruno & Oliver-Villanueva, José Vicente, 2021. "Bi-objective optimization of multiple agro-industrial wastes supply to a cogeneration system promoting local circular bioeconomy," Applied Energy, Elsevier, vol. 300(C).
    104. Michael Schneider & Andreas Stenger & Dominik Goeke, 2014. "The Electric Vehicle-Routing Problem with Time Windows and Recharging Stations," Transportation Science, INFORMS, vol. 48(4), pages 500-520, November.
    105. Soysal, Mehmet & Bloemhof-Ruwaard, Jacqueline.M. & Meuwissen, Miranda P.M. & van der Vorst, Jack G.A.J., 2012. "A Review on Quantitative Models for Sustainable Food Logistics Management," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 3(2), pages 1-20, December.
    106. Gaigné, C. & Hovelaque, V. & Mechouar, Y., 2020. "Carbon tax and sustainable facility location: The role of production technology," International Journal of Production Economics, Elsevier, vol. 224(C).
    107. Somayeh Soheilirad & Kannan Govindan & Abbas Mardani & Edmundas Kazimieras Zavadskas & Mehrbakhsh Nilashi & Norhayati Zakuan, 2018. "Application of data envelopment analysis models in supply chain management: a systematic review and meta-analysis," Annals of Operations Research, Springer, vol. 271(2), pages 915-969, December.
    108. Rocio de la Torre & Canan G. Corlu & Javier Faulin & Bhakti S. Onggo & Angel A. Juan, 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications," Sustainability, MDPI, vol. 13(3), pages 1-21, February.
    109. Gahm, Christian & Denz, Florian & Dirr, Martin & Tuma, Axel, 2016. "Energy-efficient scheduling in manufacturing companies: A review and research framework," European Journal of Operational Research, Elsevier, vol. 248(3), pages 744-757.
    110. Kramer, Raphael & Subramanian, Anand & Vidal, Thibaut & Cabral, Lucídio dos Anjos F., 2015. "A matheuristic approach for the Pollution-Routing Problem," European Journal of Operational Research, Elsevier, vol. 243(2), pages 523-539.
    111. Andreas Welling, 2017. "Green Finance: Recent developments, characteristics and important actors," FEMM Working Papers 170002, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    112. Kelle, Peter & Song, Jinglu & Jin, Mingzhou & Schneider, Helmut & Claypool, Christopher, 2019. "Evaluation of operational and environmental sustainability tradeoffs in multimodal freight transportation planning," International Journal of Production Economics, Elsevier, vol. 209(C), pages 411-420.
    113. Drent, Melvin & Moradi, Poulad & Arts, Joachim, 2023. "Efficient emission reduction through dynamic supply mode selection," European Journal of Operational Research, Elsevier, vol. 311(3), pages 925-941.
    114. Chen, Lujie & Olhager, Jan & Tang, Ou, 2014. "Manufacturing facility location and sustainability: A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 149(C), pages 154-163.
    115. Malladi, Krishna Teja & Sowlati, Taraneh, 2018. "Biomass logistics: A review of important features, optimization modeling and the new trends," Renewable and Sustainable Energy Reviews, Elsevier, vol. 94(C), pages 587-599.
    116. Chamari Pamoshika Jayarathna & Duzgun Agdas & Les Dawes & Tan Yigitcanlar, 2021. "Multi-Objective Optimization for Sustainable Supply Chain and Logistics: A Review," Sustainability, MDPI, vol. 13(24), pages 1-31, December.
    117. Dongqing Zhang & Zhaoxia Guo, 2019. "On the Necessity and Effects of Considering Correlated Stochastic Speeds in Shortest Path Problems Under Sustainable Environments," Sustainability, MDPI, vol. 12(1), pages 1-14, December.
    118. Bouchery, Yann & Woxenius, Johan & Fransoo, Jan C., 2020. "Identifying the market areas of port-centric logistics and hinterland intermodal transportation," European Journal of Operational Research, Elsevier, vol. 285(2), pages 599-611.
    119. Ormerod, Richard J. & Ulrich, Werner, 2013. "Operational research and ethics: A literature review," European Journal of Operational Research, Elsevier, vol. 228(2), pages 291-307.
    120. Chen, Xu & Wang, Xiaojun, 2016. "Effects of carbon emission reduction policies on transportation mode selections with stochastic demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 196-205.
    121. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    122. Wojciech Sałabun & Krzysztof Palczewski & Jarosław Wątróbski, 2019. "Multicriteria Approach to Sustainable Transport Evaluation under Incomplete Knowledge: Electric Bikes Case Study," Sustainability, MDPI, vol. 11(12), pages 1-19, June.
    123. Sauvageau, Gabriel & Frayret, Jean-Marc, 2015. "Waste paper procurement optimization: An agent-based simulation approach," European Journal of Operational Research, Elsevier, vol. 242(3), pages 987-998.
    124. Absi, Nabil & Dauzère-Pérès, Stéphane & Kedad-Sidhoum, Safia & Penz, Bernard & Rapine, Christophe, 2013. "Lot sizing with carbon emission constraints," European Journal of Operational Research, Elsevier, vol. 227(1), pages 55-61.
    125. Nasreddine Ouertani & Hajer Ben-Romdhane & Saoussen Krichen & Issam Nouaouri, 2022. "A vector evaluated evolutionary algorithm with exploitation reinforcement for the dynamic pollution routing problem," Journal of Combinatorial Optimization, Springer, vol. 44(2), pages 1011-1038, September.
    126. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    127. Lee, Ki-Hoon & Wu, Yong, 2014. "Integrating sustainability performance measurement into logistics and supply networks: A multi-methodological approach," The British Accounting Review, Elsevier, vol. 46(4), pages 361-378.
    128. Shang-Yu Chen & Chung-Cheng Lu, 2016. "A Model of Green Acceptance and Intentions to Use Bike-Sharing: YouBike Users in Taiwan," Networks and Spatial Economics, Springer, vol. 16(4), pages 1103-1124, December.
    129. Farnaz Barzinpour & Peyman Taki, 2018. "A dual-channel network design model in a green supply chain considering pricing and transportation mode choice," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1465-1483, October.
    130. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    131. McDonald, Conor M., 2016. "Integrating packaging and supply chain decisions: Selection of economic handling unit quantities," International Journal of Production Economics, Elsevier, vol. 180(C), pages 208-221.
    132. Benyamin Moghaddasi & Amir Salar Ghafari Majid & Zahra Mohammadnazari & Amir Aghsami & Masoud Rabbani, 2023. "A green routing-location problem in a cold chain logistics network design within the Balanced Score Card pillars in fuzzy environment," Journal of Combinatorial Optimization, Springer, vol. 45(5), pages 1-33, July.
    133. Mota, Bruna & Gomes, Maria Isabel & Carvalho, Ana & Barbosa-Povoa, Ana Paula, 2018. "Sustainable supply chains: An integrated modeling approach under uncertainty," Omega, Elsevier, vol. 77(C), pages 32-57.
    134. Banasik, Aleksander & Kanellopoulos, Argyris & Claassen, G.D.H. & Bloemhof-Ruwaard, Jacqueline M. & van der Vorst, Jack G.A.J., 2017. "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 409-420.
    135. Lukas, Elmar & Welling, Andreas, 2014. "Timing and eco(nomic) efficiency of climate-friendly investments in supply chains," European Journal of Operational Research, Elsevier, vol. 233(2), pages 448-457.
    136. Tingxi Wen & Zhongnan Zhang & Kelvin K L Wong, 2016. "Multi-Objective Algorithm for Blood Supply via Unmanned Aerial Vehicles to the Wounded in an Emergency Situation," PLOS ONE, Public Library of Science, vol. 11(5), pages 1-22, May.
    137. Mourad Makaci & Paul J. Reaidy & Karine Evrard Samuel & Valérie Botta-Genoulaz & Thibaud Monteiro, 2017. "Pooled warehouse management : An empirical study," Post-Print hal-01531304, HAL.
    138. Ghoumrassi Amine & Țigu Gabriela, 2017. "The impact of the logistics management in customer satisfaction," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 11(1), pages 292-301, July.
    139. Nouira, Imen & Hammami, Ramzi & Frein, Yannick & Temponi, Cecilia, 2016. "Design of forward supply chains: Impact of a carbon emissions-sensitive demand," International Journal of Production Economics, Elsevier, vol. 173(C), pages 80-98.
    140. Wenjing Shen, 2018. "Book Reviews," Interfaces, INFORMS, vol. 48(2), pages 176-180, April.
    141. Ghoumrassi Amine & Tigu Gabriela, 2018. "The impact of the logistics management in customer satisfaction," Proceedings of the International Conference on Business Excellence, Sciendo, vol. 12(1), pages 407-415, May.
    142. Chen, Xi & Benjaafar, Saif & Elomri, Adel, 2019. "On the effectiveness of emission penalties in decentralized supply chains," European Journal of Operational Research, Elsevier, vol. 274(3), pages 1155-1167.
    143. Duarte, Alexandra & Sarache, William & Costa, Yasel, 2016. "Biofuel supply chain design from Coffee Cut Stem under environmental analysis," Energy, Elsevier, vol. 100(C), pages 321-331.
    144. Thays A. Oliveira & Yuri B. Gabrich & Helena Ramalhinho & Miquel Oliver & Miri W. Cohen & Luiz S. Ochi & Serigne Gueye & Fábio Protti & Alysson A. Pinto & Diógenes V. M. Ferreira & Igor M. Coelho & Vi, 2020. "Mobility, Citizens, Innovation and Technology in Digital and Smart Cities," Future Internet, MDPI, vol. 12(2), pages 1-27, January.
    145. Thu Hien Le & Huu Kien Nguyen & Thanh-Vu-Linh Nguyen & Thi-Mai-Huong Khuat & Thi-Phong-Thu Pham & Thuong-Lang Nguyen, 2022. "Impact of Green Logistics on International Trade: An Empirical Study in Asia Pacific Economic Cooperation," International Journal of Economics and Financial Issues, Econjournals, vol. 12(4), pages 97-105, July.
    146. Vlado Popović & Milorad Kilibarda & Milan Andrejić & Borut Jereb & Dejan Dragan, 2021. "A New Sustainable Warehouse Management Approach for Workforce and Activities Scheduling," Sustainability, MDPI, vol. 13(4), pages 1-19, February.
    147. Berling, Peter & Eng-Larsson, Fredrik, 2017. "Environmental implications of transport contract choice - capacity investment and pricing under volume and capacity contracts," European Journal of Operational Research, Elsevier, vol. 261(1), pages 129-142.
    148. Cheng, Chun & Yang, Peng & Qi, Mingyao & Rousseau, Louis-Martin, 2017. "Modeling a green inventory routing problem with a heterogeneous fleet," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 97-112.
    149. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    150. Goeke, D. & Schneider, M., 2015. "Routing a Mixed Fleet of Electric and Conventional Vehicles," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 65939, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    151. Hammami, Ramzi & Nouira, Imen & Frein, Yannick, 2015. "Carbon emissions in a multi-echelon production-inventory model with lead time constraints," International Journal of Production Economics, Elsevier, vol. 164(C), pages 292-307.
    152. Ramos, Tânia Rodrigues Pereira & Gomes, Maria Isabel & Barbosa-Póvoa, Ana Paula, 2014. "Planning a sustainable reverse logistics system: Balancing costs with environmental and social concerns," Omega, Elsevier, vol. 48(C), pages 60-74.
    153. Goeke, Dominik & Schneider, Michael, 2015. "Routing a mixed fleet of electric and conventional vehicles," European Journal of Operational Research, Elsevier, vol. 245(1), pages 81-99.
    154. Andrii Shekhovtsov & Volodymyr Kozlov & Viktor Nosov & Wojciech Sałabun, 2020. "Efficiency of Methods for Determining the Relevance of Criteria in Sustainable Transport Problems: A Comparative Case Study," Sustainability, MDPI, vol. 12(19), pages 1-23, September.
    155. Li, Xiaodong & Ouelhadj, Djamila & Song, Xiang & Jones, Dylan & Wall, Graham & Howell, Kerry E. & Igwe, Paul & Martin, Simon & Song, Dongping & Pertin, Emmanuel, 2016. "A decision support system for strategic maintenance planning in offshore wind farms," Renewable Energy, Elsevier, vol. 99(C), pages 784-799.
    156. M. Turkensteen (Marcel) & van den Heuvel, W., 2019. "The trade-off between costs and carbon emissions from lot-sizing decisions," Econometric Institute Research Papers EI2019-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    157. Ozgur Kabadurmus & Mehmet S. Erdogan, 2023. "A green vehicle routing problem with multi-depot, multi-tour, heterogeneous fleet and split deliveries: a mathematical model and heuristic approach," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-29, April.
    158. Chen, Jen-Ming & Chang, Chia-I, 2013. "Dynamic pricing for new and remanufactured products in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 146(1), pages 153-160.
    159. Thomas Hacardiaux & Jean-Sébastien Tancrez, 2020. "Assessing the environmental benefits of horizontal cooperation using a location-inventory model," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 28(4), pages 1363-1387, December.
    160. Zhalechian, M. & Tavakkoli-Moghaddam, R. & Zahiri, B. & Mohammadi, M., 2016. "Sustainable design of a closed-loop location-routing-inventory supply chain network under mixed uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 182-214.
    161. Palak, Gökçe & Ekşioğlu, Sandra Duni & Geunes, Joseph, 2014. "Analyzing the impacts of carbon regulatory mechanisms on supplier and mode selection decisions: An application to a biofuel supply chain," International Journal of Production Economics, Elsevier, vol. 154(C), pages 198-216.
    162. Breno Tostes de Gomes Garcia & Diana Mery Messias Lopes & Ilton Curty Leal Junior & José Carlos Cesar Amorim & Marcelino Aurélio Vieira da Silva & Vanessa de Almeida Guimarães, 2019. "Analysis of the Performance of Transporting Soybeans from Mato Grosso for Export: A Case Study of the Tapajós-Teles Pires Waterway," Sustainability, MDPI, vol. 11(21), pages 1-26, November.
    163. Gao, Jingzhe & Xiao, Zhongdong & Cao, Binbin & Chai, Qiangfei, 2018. "Green supply chain planning considering consumer’s transportation process," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 311-330.
    164. Turken, Nazli & Carrillo, Janice & Verter, Vedat, 2020. "Strategic supply chain decisions under environmental regulations: When to invest in end-of-pipe and green technology," European Journal of Operational Research, Elsevier, vol. 283(2), pages 601-613.
    165. Kazancoglu, Yigit & Sagnak, Muhittin & Mangla, Sachin Kumar & Sezer, Muruvvet Deniz & Pala, Melisa Ozbiltekin, 2021. "A fuzzy based hybrid decision framework to circularity in dairy supply chains through big data solutions," Technological Forecasting and Social Change, Elsevier, vol. 170(C).
    166. Sergio Maria Patella & Gianluca Grazieschi & Valerio Gatta & Edoardo Marcucci & Stefano Carrese, 2020. "The Adoption of Green Vehicles in Last Mile Logistics: A Systematic Review," Sustainability, MDPI, vol. 13(1), pages 1-29, December.
    167. Tsai, Wen-Hsien & Yang, Chih-Hao & Chang, Jui-Chu & Lee, Hsiu-Li, 2014. "An Activity-Based Costing decision model for life cycle assessment in green building projects," European Journal of Operational Research, Elsevier, vol. 238(2), pages 607-619.
    168. Inghels, Dirk & Dullaert, Wout & Bloemhof, Jacqueline, 2016. "A model for improving sustainable green waste recovery," Resources, Conservation & Recycling, Elsevier, vol. 110(C), pages 61-73.
    169. Chen, Yi-Ting & Sun, Edward W. & Chang, Ming-Feng & Lin, Yi-Bing, 2021. "Pragmatic real-time logistics management with traffic IoT infrastructure: Big data predictive analytics of freight travel time for Logistics 4.0," International Journal of Production Economics, Elsevier, vol. 238(C).
    170. Farooque, Muhammad & Zhang, Abraham & Liu, Yanping & Hartley, Janet L., 2022. "Circular supply chain management: Performance outcomes and the role of eco-industrial parks in China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 157(C).
    171. Andersson, Jonas & Malmberg, Filip & Marklund, Johan, 2023. "Exact analysis of One-Warehouse-Multiple-Retailer inventory systems with quantity restricted deliveries," European Journal of Operational Research, Elsevier, vol. 309(3), pages 1161-1172.
    172. Bancroft, John, 2014. "Is Money Really Green? - An Investigation Into Environmental Supply Chain Practices, with a Cost Focus," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Next Generation Supply Chains: Trends and Opportunities. Proceedings of the Hamburg International Conference of Logistics (HICL), Vol. 18, volume 18, pages 183-194, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    173. Bozorgi, Ali & Pazour, Jennifer & Nazzal, Dima, 2014. "A new inventory model for cold items that considers costs and emissions," International Journal of Production Economics, Elsevier, vol. 155(C), pages 114-125.
    174. Magazzino, Cosimo & Alola, Andrew Adewale & Schneider, Nicolas, 2021. "The trilemma of innovation, logistics performance, and environmental quality in 25 topmost logistics countries: a quantile regression evidence," LSE Research Online Documents on Economics 117654, London School of Economics and Political Science, LSE Library.
    175. Martin Hrušovský & Emrah Demir & Werner Jammernegg & Tom Woensel, 2018. "Hybrid simulation and optimization approach for green intermodal transportation problem with travel time uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 486-516, September.
    176. Lee, Kuen-Chang & Tsai, Wen-Hsien & Yang, Chih-Hao & Lin, Ya-Zhi, 2018. "An MCDM approach for selecting green aviation fleet program management strategies under multi-resource limitations," Journal of Air Transport Management, Elsevier, vol. 68(C), pages 76-85.
    177. Zhou, Leishan & Tong, Lu (Carol) & Chen, Junhua & Tang, Jinjin & Zhou, Xuesong, 2017. "Joint optimization of high-speed train timetables and speed profiles: A unified modeling approach using space-time-speed grid networks," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 157-181.
    178. Caris, An & Limbourg, Sabine & Macharis, Cathy & van Lier, Tom & Cools, Mario, 2014. "Integration of inland waterway transport in the intermodal supply chain: a taxonomy of research challenges," Journal of Transport Geography, Elsevier, vol. 41(C), pages 126-136.
    179. Mirzapour Al-e-hashem, S.M.J. & Baboli, A. & Sazvar, Z., 2013. "A stochastic aggregate production planning model in a green supply chain: Considering flexible lead times, nonlinear purchase and shortage cost functions," European Journal of Operational Research, Elsevier, vol. 230(1), pages 26-41.
    180. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    181. Liu, Qian & Zheng, Lucy, 2016. "Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalitiesAuthor-Name: Ding, Huiping," European Journal of Operational Research, Elsevier, vol. 255(2), pages 463-480.
    182. Edgar Gutierrez-Franco & Christopher Mejia-Argueta & Luis Rabelo, 2021. "Data-Driven Methodology to Support Long-Lasting Logistics and Decision Making for Urban Last-Mile Operations," Sustainability, MDPI, vol. 13(11), pages 1-33, June.
    183. Rasih Boztepe & Onur Çetin, 2020. "Sustainable Warehousing: Selecting The Best Warehouse for Solar Transformation," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 8(1), pages 97-110, June.
    184. Konur, Dinçer, 2014. "Carbon constrained integrated inventory control and truckload transportation with heterogeneous freight trucks," International Journal of Production Economics, Elsevier, vol. 153(C), pages 268-279.
    185. Yann Bouchery & Asma Ghaffari & Zied Jemai & Jan Fransoo, 2016. "Sustainable transportation and order quantity: insights from multiobjective optimization," Flexible Services and Manufacturing Journal, Springer, vol. 28(3), pages 367-396, September.

  14. Pourakbar, M. & Dekker, R., 2011. "Customer Differentiated End-of-Life Inventory Problem," Econometric Institute Research Papers EI 2011-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Roni, Mohammad S. & Eksioglu, Sandra D. & Jin, Mingzhou & Mamun, Saleh, 2016. "A hybrid inventory policy with split delivery under regular and surge demand," International Journal of Production Economics, Elsevier, vol. 172(C), pages 126-136.
    2. Shen, Yuelin & Willems, Sean P., 2014. "Modeling sourcing strategies to mitigate part obsolescence," European Journal of Operational Research, Elsevier, vol. 236(2), pages 522-533.
    3. Shi, Zhenyang & Liu, Shaoxuan, 2020. "Optimal inventory control and design refresh selection in managing part obsolescence," European Journal of Operational Research, Elsevier, vol. 287(1), pages 133-144.
    4. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    5. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    6. Hur, Mansik & Keskin, Burcu B. & Schmidt, Charles P., 2018. "End-of-life inventory control of aircraft spare parts under performance based logistics," International Journal of Production Economics, Elsevier, vol. 204(C), pages 186-203.
    7. Li, Na & Zhang, Yue & Teng, De & Kong, Nan, 2021. "Pareto optimization for control agreement in patient referral coordination," Omega, Elsevier, vol. 101(C).
    8. Mohammad Najjartabar Bisheh & G. Reza Nasiri & Esmaeil Esmaeili & Hamid Davoudpour & Shing I. Chang, 2022. "A new supply chain distribution network design for two classes of customers using transfer recurrent neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2604-2618, October.
    9. Yongquan, Sun & Xi, Chen & He, Ren & Yingchao, Jin & Quanwu, Liu, 2016. "Ordering decision-making methods on spare parts for a new aircraft fleet based on a two-sample prediction," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 40-50.
    10. Roni, Mohammad S. & Jin, Mingzhou & Eksioglu, Sandra D., 2015. "A hybrid inventory management system responding to regular demand and surge demand," Omega, Elsevier, vol. 52(C), pages 190-200.
    11. Benedikt Schulte & Richard Pibernik, 2016. "Service differentiation in a single-period inventory model with numerous customer classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 921-948, October.

  15. Pourakbar, M. & Frenk, J.B.G. & Dekker, R., 2010. "End-of-Life Inventory Decisions for Consumer Electronics Service Parts," Econometric Institute Research Papers EI 2009-48, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Pourakbar, M. & Dekker, R., 2011. "Customer Differentiated End-of-Life Inventory Problem," Econometric Institute Research Papers EI 2011-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Karl Inderfurth & Rainer Kleber, 2010. "An Advanced Heuristic for Multiple-Option Spare Parts Procurement after End-of-Production," FEMM Working Papers 100005, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    3. Pourakbar, M. & van der Laan, E.A. & Dekker, R., 2011. "End-of-Life Inventory Problem with Phase-out Returns," Econometric Institute Research Papers EI 2011-12, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. van der Heijden, Matthieu & Iskandar, Bermawi P., 2013. "Last time buy decisions for products sold under warranty," European Journal of Operational Research, Elsevier, vol. 224(2), pages 302-312.

  16. Pinçe, C. & Dekker, R., 2010. "A Continuous Review Inventory Model with Advance Policy Change and Obsolescence," Econometric Institute Research Papers EI 2009-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. van Jaarsveld, Willem & Dekker, Rommert, 2011. "Estimating obsolescence risk from demand data to enhance inventory control--A case study," International Journal of Production Economics, Elsevier, vol. 133(1), pages 423-431, September.

  17. Mallidis, I. & Vlachos, D. & Dekker, R., 2010. "Greening Supply Chains: Impact on Cost and Design," Econometric Institute Research Papers EI 2010-39a, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. van der Plas, C. & Tervonen, T. & Dekker, R., 2012. "Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design," Econometric Institute Research Papers EI2012-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Mallidis, I. & Vlachos, D. & Dekker, R., 2010. "Greening Supply Chains: Impact on Cost and Design," Econometric Institute Research Papers EI 2010-39a, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Kadziński, Miłosz & Tervonen, Tommi & Tomczyk, Michał K. & Dekker, Rommert, 2017. "Evaluation of multi-objective optimization approaches for solving green supply chain design problems," Omega, Elsevier, vol. 68(C), pages 168-184.
    4. Shaikha Al-Nuaimi & Abdul-Aziz A. Banawi & Sami G. Al-Ghamdi, 2019. "Environmental and Economic Life Cycle Analysis of Primary Construction Materials Sourcing under Geopolitical Uncertainties: A Case Study of Qatar," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    5. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.
    6. Konur, Dinçer, 2014. "Carbon constrained integrated inventory control and truckload transportation with heterogeneous freight trucks," International Journal of Production Economics, Elsevier, vol. 153(C), pages 268-279.

  18. Dekker, R. & Pinçe, C. & Zuidwijk, R.A. & Jalil, M.N., 2010. "On the use of installed base information for spare parts logistics: a revieuw of ideas and industry practice," Econometric Institute Research Papers EI 2010-73, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jin, Tongdan & Tian, Zhigang & Xie, Min, 2015. "A game-theoretical approach for optimizing maintenance, spares and service capacity in performance contracting," International Journal of Production Economics, Elsevier, vol. 161(C), pages 31-43.
    2. Kati Stormi & Anni Lindholm & Teemu Laine & Tuomas Korhonen, 2020. "RFM customer analysis for product-oriented services and service business development: an interventionist case study of two machinery manufacturers," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 24(3), pages 623-653, September.
    3. Dombi, József & Jónás, Tamás & Tóth, Zsuzsanna Eszter, 2018. "Modeling and long-term forecasting demand in spare parts logistics businesses," International Journal of Production Economics, Elsevier, vol. 201(C), pages 1-17.
    4. Euna Lee & Myungwoo Nam & Hongchul Lee, 2022. "Tab2vox: CNN-Based Multivariate Multilevel Demand Forecasting Framework by Tabular-To-Voxel Image Conversion," Sustainability, MDPI, vol. 14(18), pages 1-20, September.
    5. Van der Auweraer, Sarah & Boute, Robert, 2019. "Forecasting spare part demand using service maintenance information," International Journal of Production Economics, Elsevier, vol. 213(C), pages 138-149.
    6. Hekimoğlu, Mustafa & Karlı, Deniz, 2023. "Modeling repair demand in existence of a nonstationary installed base," International Journal of Production Economics, Elsevier, vol. 263(C).
    7. Boutselis, Petros & McNaught, Ken, 2019. "Using Bayesian Networks to forecast spares demand from equipment failures in a changing service logistics context," International Journal of Production Economics, Elsevier, vol. 209(C), pages 325-333.
    8. van Wingerden, E. & Basten, R.J.I. & Dekker, R. & Rustenburg, W.D., 2014. "More grip on inventory control through improved forecasting: A comparative study at three companies," International Journal of Production Economics, Elsevier, vol. 157(C), pages 220-237.
    9. Van der Auweraer, Sarah & Zhu, Sha & Boute, Robert N., 2021. "The value of installed base information for spare part inventory control," International Journal of Production Economics, Elsevier, vol. 239(C).
    10. Fabian Taigel & Anselme K. Tueno & Richard Pibernik, 2018. "Privacy-preserving condition-based forecasting using machine learning," Journal of Business Economics, Springer, vol. 88(5), pages 563-592, July.
    11. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    12. Van der Auweraer, Sarah & Boute, Robert N. & Syntetos, Aris A., 2019. "Forecasting spare part demand with installed base information: A review," International Journal of Forecasting, Elsevier, vol. 35(1), pages 181-196.
    13. Stip, J. & Van Houtum, G.J., 2020. "On a method to improve your service BOMs within spare parts management," International Journal of Production Economics, Elsevier, vol. 221(C).
    14. Yongquan, Sun & Xi, Chen & He, Ren & Yingchao, Jin & Quanwu, Liu, 2016. "Ordering decision-making methods on spare parts for a new aircraft fleet based on a two-sample prediction," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 40-50.
    15. Amniattalab, Ayda & Frenk, J.B.G. & Hekimoğlu, Mustafa, 2023. "On spare parts demand and the installed base concept: A theoretical approach," International Journal of Production Economics, Elsevier, vol. 266(C).
    16. Zhu, Sha & Dekker, Rommert & van Jaarsveld, Willem & Renjie, Rex Wang & Koning, Alex J., 2017. "An improved method for forecasting spare parts demand using extreme value theory," European Journal of Operational Research, Elsevier, vol. 261(1), pages 169-181.
    17. José M. González-Varona & David Poza & Fernando Acebes & Félix Villafáñez & Javier Pajares & Adolfo López-Paredes, 2020. "New Business Models for Sustainable Spare Parts Logistics: A Case Study," Sustainability, MDPI, vol. 12(8), pages 1-16, April.
    18. Boram Choi & Jong Hwan Suh, 2020. "Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    19. Babai, M.Z. & Chen, H. & Syntetos, A.A. & Lengu, D., 2021. "A compound-Poisson Bayesian approach for spare parts inventory forecasting," International Journal of Production Economics, Elsevier, vol. 232(C).
    20. Kim, T.Y. & Dekker, R. & Heij, C., 2016. "Spare part demand forecasting for consumer goods using installed base information," Econometric Institute Research Papers EI2016-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Qin, Xuwei & Jiang, Zhong-Zhong & Sun, Minghe & Tang, Liang & Liu, Xiaoran, 2021. "Repairable spare parts provisioning for multiregional expanding fleets of equipment under performance-based contracting," Omega, Elsevier, vol. 102(C).

  19. Carrasco-Gallego, R. & Ponce-Cueto, E. & Dekker, R., 2009. "A framework for closed-loop supply chains of reusable articles," Econometric Institute Research Papers EI 2009-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Byungsoo Na & Min Kyu Sim & Won Ju Lee, 2019. "An Optimal Purchase Decision of Reusable Packaging in the Automotive Industry," Sustainability, MDPI, vol. 11(23), pages 1-13, November.

  20. Waltman, L. & van Eck, N.J.P. & Dekker, R. & Kaymak, U., 2009. "Economic Modeling Using Evolutionary Algorithms: The Effect of a Binary Encoding of Strategies," ERIM Report Series Research in Management ERS-2009-028-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Haijun Yang & Harry Wang & Gui Sun & Li Wang, 2015. "A comparison of U.S and Chinese financial market microstructure: heterogeneous agent-based multi-asset artificial stock markets approach," Journal of Evolutionary Economics, Springer, vol. 25(5), pages 901-924, November.
    2. Chernomaz, K. & Goertz, J.M.M., 2023. "(A)symmetric equilibria and adaptive learning dynamics in small-committee voting," Journal of Economic Dynamics and Control, Elsevier, vol. 147(C).
    3. Michael K. Maschek, 2015. "Particle Swarm Optimization in Agent‐Based Economic Simulations of the Cournot Market Model," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 22(2), pages 133-152, April.
    4. Salle, Isabelle & Seppecher, Pascal, 2016. "Social Learning About Consumption," Macroeconomic Dynamics, Cambridge University Press, vol. 20(7), pages 1795-1825, October.
    5. Oscar Claveria & Enric Monte & Salvador Torra, 2018. "“Tracking economic growth by evolving expectations via genetic programming: A two-step approach”," IREA Working Papers 201801, University of Barcelona, Research Institute of Applied Economics, revised Jan 2018.
    6. Oscar Claveria & Enric Monte & Salvador Torra, 2019. "Evolutionary Computation for Macroeconomic Forecasting," Computational Economics, Springer;Society for Computational Economics, vol. 53(2), pages 833-849, February.
    7. Zeng, Weijun & Ai, Hongfeng & Zhao, Man, 2019. "Asymmetrical expectations of future interaction and cooperation in the iterated prisoner's dilemma game," Applied Mathematics and Computation, Elsevier, vol. 359(C), pages 148-164.

  21. Budai-Balke, G. & Dekker, R. & Kaymak, U., 2009. "Genetic and memetic algorithms for scheduling railway maintenance activities," Econometric Institute Research Papers EI 2009-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Gao, Ziyou & Qi, Jianguo, 2020. "Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 64-92.
    2. Urbani, Michele & Brunelli, Matteo & Punkka, Antti, 2023. "An approach for bi-objective maintenance scheduling on a networked system with limited resources," European Journal of Operational Research, Elsevier, vol. 305(1), pages 101-113.
    3. Baldi, Mauro M. & Heinicke, Franziska & Simroth, Axel & Tadei, Roberto, 2016. "New heuristics for the Stochastic Tactical Railway Maintenance Problem," Omega, Elsevier, vol. 63(C), pages 94-102.

  22. Pinçe, C. & Dekker, R., 2009. "An Inventory Model for Slow Moving Items Subject to Obsolescence," ERIM Report Series Research in Management ERS-2009-053-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Teunter, Ruud H. & Syntetos, Aris A. & Zied Babai, M., 2011. "Intermittent demand: Linking forecasting to inventory obsolescence," European Journal of Operational Research, Elsevier, vol. 214(3), pages 606-615, November.
    2. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    3. Usman Ali & Bashir Salah & Khawar Naeem & Abdul Salam Khan & Razaullah Khan & Catalin Iulian Pruncu & Muhammad Abas & Saadat Khan, 2020. "Improved MRO Inventory Management System in Oil and Gas Company: Increased Service Level and Reduced Average Inventory Investment," Sustainability, MDPI, vol. 12(19), pages 1-19, September.
    4. Dekker, R. & Pinçe, C. & Zuidwijk, R.A. & Jalil, M.N., 2010. "On the use of installed base information for spare parts logistics: a revieuw of ideas and industry practice," Econometric Institute Research Papers EI 2010-73, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Christiane B. Haubitz & Ulrich W. Thonemann, 2021. "How to Change a Running System—Controlling the Transition to Optimized Spare Parts Inventory Policies," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1386-1405, May.
    6. Kim, T.Y. & Dekker, R. & Heij, C., 2016. "Spare part demand forecasting for consumer goods using installed base information," Econometric Institute Research Papers EI2016-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.
    8. Mellal, Mohamed Arezki, 2020. "Obsolescence – A review of the literature," Technology in Society, Elsevier, vol. 63(C).

  23. Budai-Balke, G. & Maróti, G. & Dekker, R. & Huisman, D. & Kroon, L.G., 2007. "Re-scheduling in railways: the rolling stock balancing problem," Econometric Institute Research Papers EI 2007-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nielsen, L.K. & Maróti, G., 2009. "Disruption Management of Rolling Stock in Passenger Railway Transportation," ERIM Report Series Research in Management ERS-2009-046-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    2. Nielsen, Lars Kjær & Kroon, Leo & Maróti, Gábor, 2012. "A rolling horizon approach for disruption management of railway rolling stock," European Journal of Operational Research, Elsevier, vol. 220(2), pages 496-509.

  24. Nicolai, R.P. & Frenk, J.B.G. & Dekker, R., 2007. "Modelling and optimizing imperfect maintenance of coatings on steel structures," Econometric Institute Research Papers EI 2007-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Zhang, Mimi & Gaudoin, Olivier & Xie, Min, 2015. "Degradation-based maintenance decision using stochastic filtering for systems under imperfect maintenance," European Journal of Operational Research, Elsevier, vol. 245(2), pages 531-541.
    2. Nguyen, T.P.K. & Castanier, Bruno & Yeung, Thomas G., 2014. "Maintaining a system subject to uncertain technological evolution," Reliability Engineering and System Safety, Elsevier, vol. 128(C), pages 56-65.
    3. Mitra Fouladirad & Antoine Grall, 2015. "Monitoring and condition-based maintenance with abrupt change in a system’s deterioration rate," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(12), pages 2183-2194, September.
    4. W Zhu & M Fouladirad & C Bérenguer, 2015. "Bi-criteria maintenance policies for a system subject to competing wear and δ-shock failures," Journal of Risk and Reliability, , vol. 229(6), pages 485-500, December.
    5. Nguyen, Dinh Tuan & Dijoux, Yann & Fouladirad, Mitra, 2017. "Analytical properties of an imperfect repair model and application in preventive maintenance scheduling," European Journal of Operational Research, Elsevier, vol. 256(2), pages 439-453.
    6. P Baraldi & M Compare & A Despujols & E Zio, 2011. "Modelling the effects of maintenance on the degradation of a water-feeding turbo-pump of a nuclear power plant," Journal of Risk and Reliability, , vol. 225(2), pages 169-183, June.
    7. Ponchet, Amélie & Fouladirad, Mitra & Grall, Antoine, 2010. "Assessment of a maintenance model for a multi-deteriorating mode system," Reliability Engineering and System Safety, Elsevier, vol. 95(11), pages 1244-1254.
    8. Bretó, Carles, 2014. "Trajectory composition of Poisson time changes and Markov counting systems," Statistics & Probability Letters, Elsevier, vol. 88(C), pages 91-98.
    9. Frenk, J.B.G. & Nicolai, R.P., 2007. "Approximating the Randomized Hitting Time Distribution of a Non-stationary Gamma Process," ERIM Report Series Research in Management ERS-2007-031-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    10. Do, Phuc & Voisin, Alexandre & Levrat, Eric & Iung, Benoit, 2015. "A proactive condition-based maintenance strategy with both perfect and imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 133(C), pages 22-32.
    11. Tinga, Tiedo, 2010. "Application of physical failure models to enable usage and load based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 95(10), pages 1061-1075.
    12. A Ponchet & M Fouladirad & A Grall, 2011. "Maintenance policy on a finite time span for a gradually deteriorating system with imperfect improvements," Journal of Risk and Reliability, , vol. 225(2), pages 105-116, June.
    13. Si, Xiao-Sheng & Wang, Wenbin & Hu, Chang-Hua & Zhou, Dong-Hua, 2011. "Remaining useful life estimation - A review on the statistical data driven approaches," European Journal of Operational Research, Elsevier, vol. 213(1), pages 1-14, August.

  25. Pourakbar, M. & Sleptchenko, A.V. & Dekker, R., 2007. "Mathematical modeling of floating stock policy in FMCG supply chains," Econometric Institute Research Papers EI 2007-54, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. van Asperen, E. & Dekker, R., 2010. "Flexibility in Port Selection: A Quantitative Approach Using Floating Stocks," Econometric Institute Research Papers EI 2009-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  26. Nicolai, R.P. & Dekker, R. & van Noortwijk, J.M., 2006. "A comparison of models for measurable deterioration: an application to coating on steel structures," Econometric Institute Research Papers EI 2006-28, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. M D Pandey & T Cheng & J A M van der Weide, 2011. "Finite-time maintenance cost analysis of engineering systems affected by stochastic degradation," Journal of Risk and Reliability, , vol. 225(2), pages 241-250, June.
    2. Guida, M. & Postiglione, F. & Pulcini, G., 2012. "A time-discrete extended gamma process for time-dependent degradation phenomena," Reliability Engineering and System Safety, Elsevier, vol. 105(C), pages 73-79.
    3. Thomas Michael Welte & Iver Bakken Sperstad & Espen Høegh Sørum & Magne Lorentzen Kolstad, 2017. "Integration of Degradation Processes in a Strategic Offshore Wind Farm O&M Simulation Model," Energies, MDPI, vol. 10(7), pages 1-18, July.
    4. de Jonge, Bram & Teunter, Ruud & Tinga, Tiedo, 2017. "The influence of practical factors on the benefits of condition-based maintenance over time-based maintenance," Reliability Engineering and System Safety, Elsevier, vol. 158(C), pages 21-30.
    5. van Noortwijk, J.M. & van der Weide, J.A.M., 2008. "Applications to continuous-time processes of computational techniques for discrete-time renewal processes," Reliability Engineering and System Safety, Elsevier, vol. 93(12), pages 1853-1860.
    6. Baussaron, Julien & Mihaela, Barreau & Léo, Gerville-Réache & Fabrice, Guérin & Paul, Schimmerling, 2014. "Reliability assessment based on degradation measurements: How to compare some models?," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 236-241.
    7. Kuniewski, Sebastian P. & van der Weide, Johannes A.M. & van Noortwijk, Jan M., 2009. "Sampling inspection for the evaluation of time-dependent reliability of deteriorating systems under imperfect defect detection," Reliability Engineering and System Safety, Elsevier, vol. 94(9), pages 1480-1490.
    8. Nicolai, R.P. & Frenk, J.B.G. & Dekker, R., 2007. "Modelling and optimizing imperfect maintenance of coatings on steel structures," Econometric Institute Research Papers EI 2007-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Zheng, Rui & Chen, Bingkun & Gu, Liudong, 2020. "Condition-based maintenance with dynamic thresholds for a system using the proportional hazards model," Reliability Engineering and System Safety, Elsevier, vol. 204(C).
    10. Alaa H. Elwany & Nagi Z. Gebraeel & Lisa M. Maillart, 2011. "Structured Replacement Policies for Components with Complex Degradation Processes and Dedicated Sensors," Operations Research, INFORMS, vol. 59(3), pages 684-695, June.
    11. Nicolai, R.P. & Koning, A.J., 2006. "A general framework for statistical inference on discrete event systems," Econometric Institute Research Papers EI 2006-45, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Momber, Andreas W. & Nattkemper, Tim W. & Langenkämper, Daniel & Möller, Torben & Brün, Daniel & Schaumann, Peter & Shojai, Sulaiman, 2022. "A data-based model for condition monitoring and maintenance planning for protective coating systems for wind tower structures," Renewable Energy, Elsevier, vol. 186(C), pages 957-973.
    13. Cheng, Tianjin & Pandey, Mahesh D. & van der Weide, J.A.M., 2012. "The probability distribution of maintenance cost of a system affected by the gamma process of degradation: Finite time solution," Reliability Engineering and System Safety, Elsevier, vol. 108(C), pages 65-76.
    14. C Meier-Hirmer & G Riboulet & F Sourget & M Roussignol, 2009. "Maintenance optimization for a system with a gamma deterioration process and intervention delay: Application to track maintenance," Journal of Risk and Reliability, , vol. 223(3), pages 189-198, September.
    15. Cárdenas-Gallo, Iván & Sarmiento, Carlos A. & Morales, Gilberto A. & Bolivar, Manuel A. & Akhavan-Tabatabaei, Raha, 2017. "An ensemble classifier to predict track geometry degradation," Reliability Engineering and System Safety, Elsevier, vol. 161(C), pages 53-60.
    16. Savage, Gordon J. & Kap Son, Young, 2011. "The set-theory method for systems reliability of structures with degrading components," Reliability Engineering and System Safety, Elsevier, vol. 96(1), pages 108-116.
    17. Calvert, Gareth & Neves, Luis & Andrews, John & Hamer, Matthew, 2020. "Multi-defect modelling of bridge deterioration using truncated inspection records," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    18. Boutros El Hajj & Bruno Castanier & Franck Schoefs & Thomas Yeung, 2016. "A risk-oriented degradation model for maintenance of reinforced concrete structure subjected to cracking," Journal of Risk and Reliability, , vol. 230(5), pages 521-530, October.
    19. Zhang, Zhengxin & Si, Xiaosheng & Hu, Changhua & Lei, Yaguo, 2018. "Degradation data analysis and remaining useful life estimation: A review on Wiener-process-based methods," European Journal of Operational Research, Elsevier, vol. 271(3), pages 775-796.

  27. Kroon, L.G. & Dekker, R. & Maróti, G. & Retel Helmrich, M. & Vromans, M.J.C.M., 2006. "Stochastic Improvement of Cyclic Railway Timetables," ERIM Report Series Research in Management ERS-2006-067-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Cacchiani, Valentina & Toth, Paolo, 2012. "Nominal and robust train timetabling problems," European Journal of Operational Research, Elsevier, vol. 219(3), pages 727-737.
    2. Lee, Yusin & Lu, Li-Sin & Wu, Mei-Ling & Lin, Dung-Ying, 2017. "Balance of efficiency and robustness in passenger railway timetables," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 142-156.
    3. Kroon, L.G. & Peeters, L.W.P. & Wagenaar, J.C. & Zuidwijk, R.A., 2012. "Flexible Connections in PESP Models for Cyclic Passenger Railway Timetabling," ERIM Report Series Research in Management ERS-2012-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Maosheng Li & Zhengqiu Liu & Yonghong Zhang & Weijun Liu & Feng Shi, 2017. "Distribution analysis of train interval journey time employing the censored model with shifting character," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(4), pages 715-733, March.
    5. Wang, Chao & Meng, Xin & Guo, Mingxue & Li, Hao & Hou, Zhiqiang, 2022. "An integrated energy-efficient and transfer-accessible model for the last train timetabling problem," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 588(C).
    6. Polinder, G.-J. & Breugem, T. & Dollevoet, T.A.B. & Maróti, G., 2019. "An Adjustable Robust Optimization Approach for Periodic Timetabling," Econometric Institute Research Papers EI2019-01, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Li, Xiang & Lo, Hong K., 2014. "An energy-efficient scheduling and speed control approach for metro rail operations," Transportation Research Part B: Methodological, Elsevier, vol. 64(C), pages 73-89.
    8. Niu, Huimin & Zhou, Xuesong & Gao, Ruhu, 2015. "Train scheduling for minimizing passenger waiting time with time-dependent demand and skip-stop patterns: Nonlinear integer programming models with linear constraints," Transportation Research Part B: Methodological, Elsevier, vol. 76(C), pages 117-135.
    9. Yan, Fei & Goverde, Rob M.P., 2019. "Combined line planning and train timetabling for strongly heterogeneous railway lines with direct connections," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 20-46.
    10. Maosheng Li & Qing Huang & Lixuan Yao & Yongliang Wang, 2020. "Suitability Evaluation of a Train’s Scheduled Section Travel Time," Sustainability, MDPI, vol. 12(6), pages 1-15, March.
    11. Hassini, Elkafi & Verma, Manish, 2016. "Disruption risk management in railroad networks: An optimization-based methodology and a case studyAuthor-Name: Azad, Nader," Transportation Research Part B: Methodological, Elsevier, vol. 85(C), pages 70-88.
    12. Nie, Wei & Li, Hao & Xiao, Na & Yang, Hao & Jiang, Zhishu & Buhigiro, Nsabimana, 2021. "Modeling and solving the last-shift period train scheduling problem in subway networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 569(C).
    13. Sparing, Daniel & Goverde, Rob M.P., 2017. "A cycle time optimization model for generating stable periodic railway timetables," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 198-223.
    14. Valentina Cacchiani & Alberto Caprara & Matteo Fischetti, 2012. "A Lagrangian Heuristic for Robustness, with an Application to Train Timetabling," Transportation Science, INFORMS, vol. 46(1), pages 124-133, February.
    15. Yang, Lixing & Qi, Jianguo & Li, Shukai & Gao, Yuan, 2016. "Collaborative optimization for train scheduling and train stop planning on high-speed railways," Omega, Elsevier, vol. 64(C), pages 57-76.
    16. Yang, Lixing & Zhou, Xuesong & Gao, Ziyou, 2014. "Credibility-based rescheduling model in a double-track railway network: a fuzzy reliable optimization approach," Omega, Elsevier, vol. 48(C), pages 75-93.
    17. Hörsting, Lena & Cleophas, Catherine, 2023. "Scheduling shared passenger and freight transport on a fixed infrastructure," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1158-1169.
    18. Valentina Cacchiani & Alberto Caprara & Laura Galli & Leo Kroon & Gábor Maróti & Paolo Toth, 2012. "Railway Rolling Stock Planning: Robustness Against Large Disruptions," Transportation Science, INFORMS, vol. 46(2), pages 217-232, May.
    19. Schön, Cornelia & König, Eva, 2018. "A stochastic dynamic programming approach for delay management of a single train line," European Journal of Operational Research, Elsevier, vol. 271(2), pages 501-518.
    20. Sels, P. & Dewilde, T. & Cattrysse, D. & Vansteenwegen, P., 2016. "Reducing the passenger travel time in practice by the automated construction of a robust railway timetable," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 124-156.
    21. Nikola Bešinović & Rob M. P. Goverde, 2019. "Stable and robust train routing in station areas with balanced infrastructure capacity occupation," Public Transport, Springer, vol. 11(2), pages 211-236, August.
    22. Cordone, Roberto & Redaelli, Francesco, 2011. "Optimizing the demand captured by a railway system with a regular timetable," Transportation Research Part B: Methodological, Elsevier, vol. 45(2), pages 430-446, February.
    23. Gao, Yuan & Kroon, Leo & Yang, Lixing & Gao, Ziyou, 2018. "Three-stage optimization method for the problem of scheduling additional trains on a high-speed rail corridor," Omega, Elsevier, vol. 80(C), pages 175-191.
    24. Cacchiani, Valentina & Qi, Jianguo & Yang, Lixing, 2020. "Robust optimization models for integrated train stop planning and timetabling with passenger demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 136(C), pages 1-29.
    25. Wu, Yinghui & Yang, Hai & Zhao, Shuo & Shang, Pan, 2021. "Mitigating unfairness in urban rail transit operation: A mixed-integer linear programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 149(C), pages 418-442.
    26. Yang, Xin & Chen, Anthony & Ning, Bin & Tang, Tao, 2017. "Bi-objective programming approach for solving the metro timetable optimization problem with dwell time uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 22-37.
    27. Julius Pätzold, 2021. "Finding robust periodic timetables by integrating delay management," Public Transport, Springer, vol. 13(2), pages 349-374, June.
    28. Zhou, Wenliang & Tian, Junli & Xue, Lijuan & Jiang, Min & Deng, Lianbo & Qin, Jin, 2017. "Multi-periodic train timetabling using a period-type-based Lagrangian relaxation decomposition," Transportation Research Part B: Methodological, Elsevier, vol. 105(C), pages 144-173.
    29. Li, Jiajie & Bai, Yun & Chen, Yao & Yang, Lingling & Wang, Qian, 2022. "A two-stage stochastic optimization model for integrated tram timetable and speed control with uncertain dwell times," Energy, Elsevier, vol. 260(C).
    30. Jens Parbo & Otto Anker Nielsen & Carlo Giacomo Prato, 2016. "Passenger Perspectives in Railway Timetabling: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 500-526, July.
    31. Cacchiani, Valentina & Caprara, Alberto & Toth, Paolo, 2010. "Scheduling extra freight trains on railway networks," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 215-231, February.
    32. Leo G. Kroon & Leon W. P. Peeters & Joris C. Wagenaar & Rob A. Zuidwijk, 2014. "Flexible Connections in PESP Models for Cyclic Passenger Railway Timetabling," Transportation Science, INFORMS, vol. 48(1), pages 136-154, February.
    33. Eun Hak Lee & Inmook Lee & Shin-Hyung Cho & Seung-Young Kho & Dong-Kyu Kim, 2019. "A Travel Behavior-Based Skip-Stop Strategy Considering Train Choice Behaviors Based on Smartcard Data," Sustainability, MDPI, vol. 11(10), pages 1-18, May.
    34. M. D. Yap & N. Oort & R. Nes & B. Arem, 2018. "Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective," Transportation, Springer, vol. 45(4), pages 1161-1180, July.
    35. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Gao, Ziyou & Qi, Jianguo, 2020. "Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 64-92.
    36. Burggraeve, Sofie & Vansteenwegen, Pieter, 2017. "Robust routing and timetabling in complex railway stations," Transportation Research Part B: Methodological, Elsevier, vol. 101(C), pages 228-244.
    37. Robenek, Tomáš & Maknoon, Yousef & Azadeh, Shadi Sharif & Chen, Jianghang & Bierlaire, Michel, 2016. "Passenger centric train timetabling problem," Transportation Research Part B: Methodological, Elsevier, vol. 89(C), pages 107-126.
    38. Mulder, J. & van Jaarsveld, W.L. & Dekker, R., 2016. "Simultaneous optimization of speed and buffer times for robust transportation systems," Econometric Institute Research Papers EI2016-36, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    39. Lusby, Richard M. & Larsen, Jesper & Bull, Simon, 2018. "A survey on robustness in railway planning," European Journal of Operational Research, Elsevier, vol. 266(1), pages 1-15.
    40. Kang, Liujiang & Wu, Jianjun & Sun, Huijun & Zhu, Xiaoning & Gao, Ziyou, 2015. "A case study on the coordination of last trains for the Beijing subway network," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 112-127.
    41. Harshad Khadilkar, 2017. "Data-Enabled Stochastic Modeling for Evaluating Schedule Robustness of Railway Networks," Transportation Science, INFORMS, vol. 51(4), pages 1161-1176, November.
    42. Yan, Fei & Bešinović, Nikola & Goverde, Rob M.P., 2019. "Multi-objective periodic railway timetabling on dense heterogeneous railway corridors," Transportation Research Part B: Methodological, Elsevier, vol. 125(C), pages 52-75.
    43. Jovanović, Predrag & Kecman, Pavle & Bojović, Nebojša & Mandić, Dragomir, 2017. "Optimal allocation of buffer times to increase train schedule robustness," European Journal of Operational Research, Elsevier, vol. 256(1), pages 44-54.
    44. Shuo Zhao & Jinfei Wu & Zhenyi Li & Ge Meng, 2022. "Train Operational Plan Optimization for Urban Rail Transit Lines Considering Circulation Balance," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    45. Vansteenwegen, Pieter & Dewilde, Thijs & Burggraeve, Sofie & Cattrysse, Dirk, 2016. "An iterative approach for reducing the impact of infrastructure maintenance on the performance of railway systems," European Journal of Operational Research, Elsevier, vol. 252(1), pages 39-53.
    46. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Kumar, Uday & Gao, Ziyou, 2019. "Integrated optimization of train scheduling and maintenance planning on high-speed railway corridors," Omega, Elsevier, vol. 87(C), pages 86-104.
    47. Polinder, Gert-Jaap & Breugem, Thomas & Dollevoet, Twan & Maróti, Gábor, 2019. "An adjustable robust optimization approach for periodic timetabling," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 50-68.
    48. Jiateng Yin & Lixing Yang & Xuesong Zhou & Tao Tang & Ziyou Gao, 2019. "Balancing a one‐way corridor capacity and safety‐oriented reliability: A stochastic optimization approach for metro train timetabling," Naval Research Logistics (NRL), John Wiley & Sons, vol. 66(4), pages 297-320, June.
    49. Gábor Maróti, 2017. "A branch-and-bound approach for robust railway timetabling," Public Transport, Springer, vol. 9(1), pages 73-94, July.
    50. Li, Shukai & Zhou, Xuesong & Yang, Lixing & Gao, Ziyou, 2018. "Automatic train regulation of complex metro networks with transfer coordination constraints: A distributed optimal control framework," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 228-253.
    51. Högdahl, Johan & Bohlin, Markus & Fröidh, Oskar, 2019. "A combined simulation-optimization approach for minimizing travel time and delays in railway timetables," Transportation Research Part B: Methodological, Elsevier, vol. 126(C), pages 192-212.
    52. Mulder, Judith & Dekker, Rommert, 2019. "Designing robust liner shipping schedules: Optimizing recovery actions and buffer times," European Journal of Operational Research, Elsevier, vol. 272(1), pages 132-146.

  28. Nicolai, R.P. & Dekker, R., 2006. "Optimal maintenance of multi-component systems: a review," Econometric Institute Research Papers EI 2006-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jin, Tongdan & Tian, Zhigang & Xie, Min, 2015. "A game-theoretical approach for optimizing maintenance, spares and service capacity in performance contracting," International Journal of Production Economics, Elsevier, vol. 161(C), pages 31-43.
    2. Özgür-Ünlüakın, Demet & Türkali, Busenur & Karacaörenli, Ayşe & Çağlar Aksezer, S., 2019. "A DBN based reactive maintenance model for a complex system in thermal power plants," Reliability Engineering and System Safety, Elsevier, vol. 190(C), pages 1-1.
    3. Linnéusson, Gary & Ng, Amos H.C. & Aslam, Tehseen, 2020. "A hybrid simulation-based optimization framework supporting strategic maintenance development to improve production performance," European Journal of Operational Research, Elsevier, vol. 281(2), pages 402-414.
    4. Wang, Wenbin, 2012. "A stochastic model for joint spare parts inventory and planned maintenance optimisation," European Journal of Operational Research, Elsevier, vol. 216(1), pages 127-139.
    5. de Jonge, Bram & Klingenberg, Warse & Teunter, Ruud & Tinga, Tiedo, 2016. "Reducing costs by clustering maintenance activities for multiple critical units," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 93-103.
    6. Ruifeng Yang & Jianshe Kang & Qiwei Hu, 2018. "Integrated maintenance policy optimization with finite spares," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 9(5), pages 1014-1021, October.
    7. Anahita Khojandi & Lisa M. Maillart & Oleg A. Prokopyev & Mark S. Roberts & Samir F. Saba, 2018. "Dynamic Abandon/Extract Decisions for Failed Cardiac Leads," Management Science, INFORMS, vol. 64(2), pages 633-651, February.
    8. Do, Phuc & Bérenguer, Christophe, 2020. "Conditional reliability-based importance measures," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    9. Bernd Heidergott & Taoying Farenhorst-Yuan, 2010. "Gradient Estimation for Multicomponent Maintenance Systems with Age-Replacement Policy," Operations Research, INFORMS, vol. 58(3), pages 706-718, June.
    10. Liu, Gehui & Chen, Shaokuan & Jin, Hua & Liu, Shuang, 2021. "Optimum opportunistic maintenance schedule incorporating delay time theory with imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    11. Wang, Wenbin, 2011. "A joint spare part and maintenance inspection optimisation model using the Delay-Time concept," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1535-1541.
    12. Andriotis, C.P. & Papakonstantinou, K.G., 2021. "Deep reinforcement learning driven inspection and maintenance planning under incomplete information and constraints," Reliability Engineering and System Safety, Elsevier, vol. 212(C).
    13. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    14. Abdollahzadeh, Hadi & Atashgar, Karim & Abbasi, Morteza, 2016. "Multi-objective opportunistic maintenance optimization of a wind farm considering limited number of maintenance groups," Renewable Energy, Elsevier, vol. 88(C), pages 247-261.
    15. Li Yang & Yu Zhao & Xiaobing Ma & Qingan Qiu, 2018. "An optimal inspection and replacement policy for a two-unit system," Journal of Risk and Reliability, , vol. 232(6), pages 766-776, December.
    16. Sánchez-Herguedas, Antonio & Mena-Nieto, Angel & Rodrigo-Muñoz, Francisco, 2021. "A new analytical method to optimise the preventive maintenance interval by using a semi-Markov process and z-transform with an application to marine diesel engines," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    17. Vu, Hai Canh & Do, Phuc & Barros, Anne & Bérenguer, Christophe, 2014. "Maintenance grouping strategy for multi-component systems with dynamic contexts," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 233-249.
    18. Li, Heping & Deloux, Estelle & Dieulle, Laurence, 2016. "A condition-based maintenance policy for multi-component systems with Lévy copulas dependence," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 44-55.
    19. Ayse Sena Eruguz & Tarkan Tan & Geert‐Jan van Houtum, 2017. "Optimizing usage and maintenance decisions for k‐out‐of‐n systems of moving assets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 418-434, August.
    20. Zhang, Xiaohong & Zeng, Jianchao, 2017. "Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 479-498.
    21. Wang, Wenbin, 2011. "An inspection model based on a three-stage failure process," Reliability Engineering and System Safety, Elsevier, vol. 96(7), pages 838-848.
    22. Retsef Levi & Thomas Magnanti & Yaron Shaposhnik, 2019. "Scheduling with Testing," Management Science, INFORMS, vol. 65(2), pages 776-793, February.
    23. Wang, Wenbin & Banjevic, Dragan & Pecht, Michael, 2010. "A multi-component and multi-failure mode inspection model based on the delay time concept," Reliability Engineering and System Safety, Elsevier, vol. 95(8), pages 912-920.
    24. Zhu, Mixin & Zhou, Xiaojun, 2023. "Hierarchical-clustering-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," International Journal of Production Economics, Elsevier, vol. 264(C).
    25. Jyrki Savolainen & Michele Urbani, 2021. "Maintenance optimization for a multi-unit system with digital twin simulation," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1953-1973, October.
    26. Li, Yaohan & Dong, You & Guo, Hongyuan, 2023. "Copula-based multivariate renewal model for life-cycle analysis of civil infrastructure considering multiple dependent deterioration processes," Reliability Engineering and System Safety, Elsevier, vol. 231(C).
    27. Zhu, Mixin & Zhou, Xiaojun, 2022. "Hypergraph-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    28. Liang, Zhenglin & Li, Yan-Fu, 2023. "Holistic Resilience and Reliability Measures for Cellular Telecommunication Networks," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    29. Lei Zhang & Yifan Zhou & Chuanhui Huang, 2017. "An approximate hybrid approach to maintenance optimisation for a system with multistate components," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 189-196, March.
    30. Do, Phuc & Assaf, Roy & Scarf, Phil & Iung, Benoit, 2019. "Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 86-97.
    31. Zhou, Yifan & Zhang, Zhisheng & Lin, Tian Ran & Ma, Lin, 2013. "Maintenance optimisation of a multi-state series–parallel system considering economic dependence and state-dependent inspection intervals," Reliability Engineering and System Safety, Elsevier, vol. 111(C), pages 248-259.
    32. Do, Phuc & Vu, Hai Canh & Barros, Anne & Bérenguer, Christophe, 2015. "Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 56-67.
    33. Phuc Do & Christophe Bérenguer, 2022. "Residual life-based importance measures for predictive maintenance decision-making," Journal of Risk and Reliability, , vol. 236(1), pages 98-113, February.
    34. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    35. Van Horenbeek, Adriaan & Pintelon, Liliane, 2013. "A dynamic predictive maintenance policy for complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 39-50.
    36. Goossens, Adriaan J.M. & Basten, Rob J.I., 2015. "Exploring maintenance policy selection using the Analytic Hierarchy Process; An application for naval ships," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 31-41.
    37. Parada Puig, J.E. & Basten, R.J.I., 2015. "Defining line replaceable units," European Journal of Operational Research, Elsevier, vol. 247(1), pages 310-320.
    38. Thomas Bittar & Pierre Carpentier & Jean-Philippe Chancelier & Jérôme Lonchampt, 2022. "A decomposition method by interaction prediction for the optimization of maintenance scheduling," Annals of Operations Research, Springer, vol. 316(1), pages 229-267, September.
    39. Nooshin Salari & Viliam Makis, 2020. "Joint maintenance and just-in-time spare parts provisioning policy for a multi-unit production system," Annals of Operations Research, Springer, vol. 287(1), pages 351-377, April.
    40. Maaroufi, Ghofrane & Chelbi, Anis & Rezg, Nidhal, 2013. "Optimal selective renewal policy for systems subject to propagated failures with global effect and failure isolation phenomena," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 61-70.
    41. Fecarotti, Claudia & Andrews, John & Pesenti, Raffaele, 2021. "A mathematical programming model to select maintenance strategies in railway networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    42. Wang, Wenbin, 2012. "An overview of the recent advances in delay-time-based maintenance modelling," Reliability Engineering and System Safety, Elsevier, vol. 106(C), pages 165-178.
    43. Kowalski, Marcin & Magott, Jan & Nowakowski, Tomasz & Werbińska-Wojciechowska, Sylwia, 2014. "Exact and approximation methods for dependability assessment of tram systems with time window," European Journal of Operational Research, Elsevier, vol. 235(3), pages 671-686.
    44. Nguyen, Ho Si Hung & Do, Phuc & Vu, Hai-Canh & Iung, Benoit, 2019. "Dynamic maintenance grouping and routing for geographically dispersed production systems," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 392-404.
    45. Salari, Nooshin & Makis, Viliam, 2017. "Comparison of two maintenance policies for a multi-unit system considering production and demand rates," International Journal of Production Economics, Elsevier, vol. 193(C), pages 381-391.
    46. Zhicheng Zhu & Yisha Xiang & Bo Zeng, 2021. "Multicomponent Maintenance Optimization: A Stochastic Programming Approach," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 898-914, July.
    47. Hashemi, M. & Asadi, M. & Tavangar, M., 2022. "Optimal maintenance strategies for coherent systems: A warranty dependent approach," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    48. Giovanna Acampa & Fabrizio Battisti & Mariolina Grasso, 2023. "An Evaluation System to Optimize the Management of Interventions in the Historic Center of Florence World Heritage Site: From Building Preservation to Block Refurbishment," Land, MDPI, vol. 12(4), pages 1-17, March.
    49. Çekyay, Bora & Özekici, Süleyman, 2012. "Optimal maintenance of systems with Markovian mission and deterioration," European Journal of Operational Research, Elsevier, vol. 219(1), pages 123-133.
    50. V Zille & C Bérenguer & A Grall & A Despujols, 2011. "Modelling multicomponent systems to quantify reliability centred maintenance strategies," Journal of Risk and Reliability, , vol. 225(2), pages 141-160, June.
    51. Özgür-Ünlüakın, Demet & Türkali, Busenur, 2021. "Evaluation of proactive maintenance policies on a stochastically dependent hidden multi-component system using DBNs," Reliability Engineering and System Safety, Elsevier, vol. 211(C).
    52. Fritzsche, R. & Gupta, J.N.D. & Lasch, R., 2014. "Optimal prognostic distance to minimize total maintenance cost: The case of the airline industry," International Journal of Production Economics, Elsevier, vol. 151(C), pages 76-88.
    53. Nguyen, Van-Thai & Do, Phuc & Vosin, Alexandre & Iung, Benoit, 2022. "Artificial-intelligence-based maintenance decision-making and optimization for multi-state component systems," Reliability Engineering and System Safety, Elsevier, vol. 228(C).
    54. Lu, Biao & Zhou, Xiaojun, 2017. "Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 116-127.
    55. Zhang, Nan & Fouladirad, Mitra & Barros, Anne & Zhang, Jun, 2020. "Condition-based maintenance for a K-out-of-N deteriorating system under periodic inspection with failure dependence," European Journal of Operational Research, Elsevier, vol. 287(1), pages 159-167.
    56. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    57. Barlow, E. & Bedford, T. & Revie, M. & Tan, J. & Walls, L., 2021. "A performance-centred approach to optimising maintenance of complex systems," European Journal of Operational Research, Elsevier, vol. 292(2), pages 579-595.
    58. N. Knofius & M. C. Heijden & A. Sleptchenko & W. H. M. Zijm, 2021. "Improving effectiveness of spare parts supply by additive manufacturing as dual sourcing option," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 43(1), pages 189-221, March.
    59. Wang, Lin & Lu, Zhiqiang & Ren, Yifei, 2020. "Joint production control and maintenance policy for a serial system with quality deterioration and stochastic demand," Reliability Engineering and System Safety, Elsevier, vol. 199(C).
    60. Safaei, Fatemeh & Châtelet, Eric & Ahmadi, Jafar, 2020. "Optimal age replacement policy for parallel and series systems with dependent components," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    61. Torgny Almgren & Niclas Andréasson & Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski & Magnus Önnheim, 2012. "The opportunistic replacement problem: theoretical analyses and numerical tests," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 76(3), pages 289-319, December.
    62. Wang, Wenbin & Syntetos, Aris A., 2011. "Spare parts demand: Linking forecasting to equipment maintenance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1194-1209.
    63. Shahraki, Ameneh Forouzandeh & Yadav, Om Prakash & Vogiatzis, Chrysafis, 2020. "Selective maintenance optimization for multi-state systems considering stochastically dependent components and stochastic imperfect maintenance actions," Reliability Engineering and System Safety, Elsevier, vol. 196(C).
    64. Wang, Wei & Wu, Zhiying & Xiong, Junlin & Xu, Yaofeng, 2018. "Redundancy optimization of cold-standby systems under periodic inspection and maintenance," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 394-402.
    65. Vu, Hai Canh & Do, Phuc & Fouladirad, Mitra & Grall, Antoine, 2020. "Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    66. Dao, Cuong D. & Zuo, Ming J., 2017. "Selective maintenance of multi-state systems with structural dependence," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 184-195.
    67. Donnacha Bolger & Brett Houlding, 2016. "Reliability updating in linear opinion pooling for multiple decision makers," Journal of Risk and Reliability, , vol. 230(3), pages 309-322, June.
    68. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    69. Zhu, Wenjin & Fouladirad, Mitra & Bérenguer, Christophe, 2016. "A multi-level maintenance policy for a multi-component and multifailure mode system with two independent failure modes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 50-63.
    70. Zhang, Xiaohong & Zeng, Jianchao, 2015. "A general modeling method for opportunistic maintenance modeling of multi-unit systems," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 176-190.
    71. Urbani, Michele & Brunelli, Matteo & Punkka, Antti, 2023. "An approach for bi-objective maintenance scheduling on a networked system with limited resources," European Journal of Operational Research, Elsevier, vol. 305(1), pages 101-113.
    72. Petchrompo, Sanyapong & Wannakrairot, Anupong & Parlikad, Ajith Kumar, 2022. "Pruning Pareto optimal solutions for multi-objective portfolio asset management," European Journal of Operational Research, Elsevier, vol. 297(1), pages 203-220.
    73. Seyedhosseini, Seyed Mohammad & Moakedi, Hamid & Shahanaghi, Kamran, 2018. "Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 141-156.
    74. Regattieri, A. & Giazzi, A. & Gamberi, M. & Gamberini, R., 2015. "An innovative method to optimize the maintenance policies in an aircraft: General framework and case study," Journal of Air Transport Management, Elsevier, vol. 44, pages 8-20.
    75. Wang, Jingjing & Yang, Li & Ma, Xiaobing & Peng, Rui, 2021. "Joint optimization of multi-window maintenance and spare part provisioning policies for production systems," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    76. Han, Xiao & Wang, Zili & Xie, Min & He, Yihai & Li, Yao & Wang, Wenzhuo, 2021. "Remaining useful life prediction and predictive maintenance strategies for multi-state manufacturing systems considering functional dependence," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    77. Galante, Giacomo & Passannanti, Gianfranco, 2009. "An exact algorithm for preventive maintenance planning of series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1517-1525.
    78. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    79. Zhou, Yifan & Lin, Tian Ran & Sun, Yong & Bian, Yangqing & Ma, Lin, 2015. "An effective approach to reducing strategy space for maintenance optimisation of multistate series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 138(C), pages 40-53.
    80. Vimal Vijayan & Sanjay K Chaturvedi, 2021. "Multi-component maintenance grouping optimization based on stochastic dependency," Journal of Risk and Reliability, , vol. 235(2), pages 293-305, April.
    81. Shafiee, Mahmood & Finkelstein, Maxim, 2015. "An optimal age-based group maintenance policy for multi-unit degrading systems," Reliability Engineering and System Safety, Elsevier, vol. 134(C), pages 230-238.
    82. Dilaver, Halit Metehan & Akçay, Alp & van Houtum, Geert-Jan, 2023. "Integrated planning of asset-use and dry-docking for a fleet of maritime assets," International Journal of Production Economics, Elsevier, vol. 256(C).
    83. Jiang, Xiuhong & Duan, Fuhai & Tian, Heng & Wei, Xuedong, 2015. "Optimization of reliability centered predictive maintenance scheme for inertial navigation system," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 208-217.
    84. Tazi, Nacef & Châtelet, Eric & Bouzidi, Youcef, 2018. "How combined performance and propagation of failure dependencies affect the reliability of a MSS," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 531-541.
    85. Wang, Ling & Chu, Jian & Mao, Weijie, 2009. "A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure," European Journal of Operational Research, Elsevier, vol. 194(1), pages 184-205, April.
    86. Jingyi Zhao & Chunhai Gao & Tao Tang, 2022. "A Review of Sustainable Maintenance Strategies for Single Component and Multicomponent Equipment," Sustainability, MDPI, vol. 14(5), pages 1-22, March.
    87. Briš, Radim & Byczanski, Petr & Goňo, Radomír & Rusek, Stanislav, 2017. "Discrete maintenance optimization of complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 80-89.
    88. Andersen, Jesper Fink & Andersen, Anders Reenberg & Kulahci, Murat & Nielsen, Bo Friis, 2022. "A numerical study of Markov decision process algorithms for multi-component replacement problems," European Journal of Operational Research, Elsevier, vol. 299(3), pages 898-909.
    89. Hamdan, K. & Tavangar, M. & Asadi, M., 2021. "Optimal preventive maintenance for repairable weighted k-out-of-n systems," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    90. Van Horenbeek, Adriaan & Buré, Jasmine & Cattrysse, Dirk & Pintelon, Liliane & Vansteenwegen, Pieter, 2013. "Joint maintenance and inventory optimization systems: A review," International Journal of Production Economics, Elsevier, vol. 143(2), pages 499-508.
    91. Vimal Vijayan & Sanjay K Chaturvedi & Ritesh Chandra, 2020. "A failure interaction model for multicomponent repairable systems," Journal of Risk and Reliability, , vol. 234(3), pages 470-486, June.
    92. Ruifeng Yang & Jianshe Kang, 2017. "Joint optimization for inspection and replacement model based on a three-stage failure process," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 8(1), pages 118-128, January.
    93. Alrabghi, Abdullah & Tiwari, Ashutosh, 2016. "A novel approach for modelling complex maintenance systems using discrete event simulation," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 160-170.
    94. Rasmekomen, Nipat & Parlikad, Ajith Kumar, 2016. "Condition-based maintenance of multi-component systems with degradation state-rate interactions," Reliability Engineering and System Safety, Elsevier, vol. 148(C), pages 1-10.

  29. Surico, M. & Kaymak, U. & Naso, D. & Dekker, R., 2006. "Hybrid Meta-Heuristics for Robust Scheduling," ERIM Report Series Research in Management ERS-2006-018-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Al-Hinai, Nasr & ElMekkawy, T.Y., 2011. "Robust and stable flexible job shop scheduling with random machine breakdowns using a hybrid genetic algorithm," International Journal of Production Economics, Elsevier, vol. 132(2), pages 279-291, August.

  30. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    2. Jiawen Hu & Zuhua Jiang & Hong Wang, 2017. "Joint Optimization of Production Plan and Preventive Maintenance Schedule by Stackelberg Game," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(04), pages 1-28, August.
    3. Fitouhi, Mohamed-Chahir & Nourelfath, Mustapha, 2014. "Integrating noncyclical preventive maintenance scheduling and production planning for multi-state systems," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 175-186.
    4. Souheil Ayed & Zied Hajej & Sadok Turki & Nidhal Rezg, 2017. "FPA method for optimal production planning under availability/degradation machine and subcontracting constraint," International Journal of Production Research, Taylor & Francis Journals, vol. 55(8), pages 2135-2148, April.
    5. Fitouhi, Mohamed-Chahir & Nourelfath, Mustapha, 2012. "Integrating noncyclical preventive maintenance scheduling and production planning for a single machine," International Journal of Production Economics, Elsevier, vol. 136(2), pages 344-351.
    6. Mohammed Haoues & Mohammed Dahane & Nadia Kenza Mouss, 2019. "Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 701-725, February.

  31. Bayindir, Z.P. & Teunter, R.H. & Dekker, R., 2005. "A comparison of inventory control policies for a joint manufacturing/Remanufacturing environment with remanufacturing yield loss," Econometric Institute Research Papers EI 2005-10, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Dev, Navin K. & Shankar, Ravi & Choudhary, Alok, 2017. "Strategic design for inventory and production planning in closed-loop hybrid systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 345-353.

  32. Porras Musalem, E. & Dekker, R., 2005. "New Bounds for the Joint Replenishment Problem: Tighter, but not always better," Econometric Institute Research Papers EI 2005-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Porras, Eric & Dekker, Rommert, 2008. "A solution method for the joint replenishment problem with correction factor," International Journal of Production Economics, Elsevier, vol. 113(2), pages 834-851, June.
    2. Porras Musalem, E. & Dekker, R., 2005. "Generalized Solutions for the joint replenishment problem with correction factor," Econometric Institute Research Papers EI 2005-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  33. Porras Musalem, E. & Dekker, R., 2005. "Generalized Solutions for the joint replenishment problem with correction factor," Econometric Institute Research Papers EI 2005-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    2. Porras Musalem, E. & Dekker, R., 2005. "New Bounds for the Joint Replenishment Problem: Tighter, but not always better," Econometric Institute Research Papers EI 2005-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  34. Nicolai, R.P. & Dekker, R., 2005. "Automated Response Surface Methodology for Stochastic Optimization Models with Unknown Variance," Econometric Institute Research Papers EI 2005-20, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  35. Kroon, L.G. & Dekker, R. & Vromans, M.J.C.M., 2005. "Cyclic Railway Timetabling: a Stochastic Optimization Approach," ERIM Report Series Research in Management ERS-2005-051-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Gabrio Caimi & Dan Burkolter & Thomas Herrmann & Fabian Chudak & Marco Laumanns, 2009. "Design of a Railway Scheduling Model for Dense Services," Networks and Spatial Economics, Springer, vol. 9(1), pages 25-46, March.
    2. Jespersen-Groth, J. & Potthoff, D. & Clausen, J. & Huisman, D. & Kroon, L.G. & Maróti, G. & Nielsen, M.N., 2007. "Disruption management in passenger railway transportation," Econometric Institute Research Papers EI 2007-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. C. Fretter & L. Krumov & K. Weihe & M. Müller-Hannemann & M.-T. Hütt, 2010. "Phase synchronization in railway timetables," The European Physical Journal B: Condensed Matter and Complex Systems, Springer;EDP Sciences, vol. 77(2), pages 281-289, September.
    4. Dmitriy KOZACHENKO & Roman VERNIGORA & Vladimir BALANOV & Nikolay BEREZOVY & Lidiia YELNIKOVA & Yulia GERMANYUK, 2016. "Evaluation of the Transition to the Organization of Freight Trains Traffic By the Schedule," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 11(1), pages 41-48, March.
    5. Matteo Fischetti & Domenico Salvagnin & Arrigo Zanette, 2009. "Fast Approaches to Improve the Robustness of a Railway Timetable," Transportation Science, INFORMS, vol. 43(3), pages 321-335, August.

  36. Bayindir, Z.P. & Dekker, R. & Porras Musalem, E., 2004. "Determination of recovery effort for a probabilistic recovery system under various inventory control policies," Econometric Institute Research Papers EI 2004-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    2. Chung, Chun-Jen & Wee, Hui-Ming, 2011. "Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 195-203, January.
    3. Chung, Chun-Jen & Wee, Hui-Ming, 2008. "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 528-545, June.
    4. Komoto, H. & Tomiyama, T. & Silvester, S. & Brezet, H., 2011. "Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation," International Journal of Production Economics, Elsevier, vol. 134(2), pages 447-457, December.
    5. García-Alvarado, M.S. & Paquet, M. & Chaabane, A., 2015. "On inventory control of product recovery systems subject to environmental mechanisms," International Journal of Production Economics, Elsevier, vol. 165(C), pages 132-144.

  37. Budai-Balke, G. & Huisman, D. & Dekker, R., 2004. "Scheduling preventive railway maintenance activities," Econometric Institute Research Papers EI 2004-41, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Zhang, Yongxiang & D'Ariano, Andrea & He, Bisheng & Peng, Qiyuan, 2019. "Microscopic optimization model and algorithm for integrating train timetabling and track maintenance task scheduling," Transportation Research Part B: Methodological, Elsevier, vol. 127(C), pages 237-278.
    2. Bouvard, K. & Artus, S. & Bérenguer, C. & Cocquempot, V., 2011. "Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 601-610.
    3. Rokstad, Marius Møller & Ugarelli, Rita Maria, 2015. "Minimising the total cost of renewal and risk of water infrastructure assets by grouping renewal interventions," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 148-160.
    4. Mohammadi, Reza & He, Qing & Karwan, Mark, 2021. "Data-driven robust strategies for joint optimization of rail renewal and maintenance planning," Omega, Elsevier, vol. 103(C).
    5. Cats, Oded & Koppenol, Gert-Jaap & Warnier, Martijn, 2017. "Robustness assessment of link capacity reduction for complex networks: Application for public transport systems," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 544-553.
    6. Budai-Balke, G. & Dekker, R. & Kaymak, U., 2009. "Genetic and memetic algorithms for scheduling railway maintenance activities," Econometric Institute Research Papers EI 2009-30, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    8. Santos, Rui & Fonseca Teixeira, Paulo & Pais Antunes, Antonio, 2015. "Planning and scheduling efficient heavy rail track maintenance through a Decision Rules Model," Research in Transportation Economics, Elsevier, vol. 54(C), pages 20-32.
    9. Fecarotti, Claudia & Andrews, John & Pesenti, Raffaele, 2021. "A mathematical programming model to select maintenance strategies in railway networks," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    10. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    11. Zengqiang Jiang & Dragan Banjevic & Mingcheng E & Bing Li, 2017. "Optimizing the re-profiling policy regarding metropolitan train wheels based on a semi-Markov decision process," Journal of Risk and Reliability, , vol. 231(5), pages 495-507, October.
    12. S Boğ & A K Nemani & R K Ahuja, 2011. "Iterative algorithms for the curfew planning problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(4), pages 593-607, April.
    13. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    14. Tomas Lidén, 2020. "Coordinating maintenance windows and train traffic: a case study," Public Transport, Springer, vol. 12(2), pages 261-298, June.
    15. Florian Jaehn & Alena Otto & Kilian Seifried, 2018. "Shunting operations at flat yards: retrieving freight railcars from storage tracks," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(2), pages 367-393, March.
    16. Ashish K. Nemani & Suat Bog & Ravindra K. Ahuja, 2010. "Solving the Curfew Planning Problem," Transportation Science, INFORMS, vol. 44(4), pages 506-523, November.
    17. Peng, Fan & Ouyang, Yanfeng, 2012. "Track maintenance production team scheduling in railroad networks," Transportation Research Part B: Methodological, Elsevier, vol. 46(10), pages 1474-1488.
    18. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Gao, Ziyou & Qi, Jianguo, 2020. "Joint optimization of train scheduling and maintenance planning in a railway network: A heuristic algorithm using Lagrangian relaxation," Transportation Research Part B: Methodological, Elsevier, vol. 134(C), pages 64-92.
    19. Go, Hun & Kim, Ji-Su & Lee, Dong-Ho, 2013. "Operation and preventive maintenance scheduling for containerships: Mathematical model and solution algorithm," European Journal of Operational Research, Elsevier, vol. 229(3), pages 626-636.
    20. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part II: a two-stage solution approach," Annals of Operations Research, Springer, vol. 224(1), pages 51-75, January.
    21. Goel, Asvin & Meisel, Frank, 2013. "Workforce routing and scheduling for electricity network maintenance with downtime minimization," European Journal of Operational Research, Elsevier, vol. 231(1), pages 210-228.
    22. Zhang, Chuntian & Gao, Yuan & Yang, Lixing & Kumar, Uday & Gao, Ziyou, 2019. "Integrated optimization of train scheduling and maintenance planning on high-speed railway corridors," Omega, Elsevier, vol. 87(C), pages 86-104.
    23. Liu, Gehui & Chen, Shaokuan & Ho, Tinkin & Ran, Xinchen & Mao, Baohua & Lan, Zhen, 2022. "Optimum opportunistic maintenance schedule over variable horizons considering multi-stage degradation and dynamic strategy," Reliability Engineering and System Safety, Elsevier, vol. 225(C).
    24. Baldi, Mauro M. & Heinicke, Franziska & Simroth, Axel & Tadei, Roberto, 2016. "New heuristics for the Stochastic Tactical Railway Maintenance Problem," Omega, Elsevier, vol. 63(C), pages 94-102.
    25. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Alice Consilvio & Angela Febbraro & Rossella Meo & Nicola Sacco, 2019. "Risk-based optimal scheduling of maintenance activities in a railway network," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 435-465, December.
    27. Saleh, Ali & Remenyte-Prescott, Rasa & Prescott, Darren & Chiachío, Manuel, 2024. "Intelligent and adaptive asset management model for railway sections using the iPN method," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    28. Zhang, Nan & Fouladirad, Mitra & Barros, Anne, 2017. "Maintenance analysis of a two-component load-sharing system," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 67-74.
    29. Swapnesh Subramanian & Narayan Rangaraj, 2022. "Optimizing large scale upgradations involving movable assets," OPSEARCH, Springer;Operational Research Society of India, vol. 59(3), pages 930-944, September.

  38. Trimp, M.E. & Sinnema, S.M. & Dekker, R. & Teunter, R.H., 2004. "Optimise initial spare parts inventories: an analysis and improvement of an electronic decision tool," Econometric Institute Research Papers EI 2004-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. van Jaarsveld, Willem & Dekker, Rommert, 2011. "Spare parts stock control for redundant systems using reliability centered maintenance data," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1576-1586.
    2. van Jaarsveld, W.L. & Dekker, R., 2010. "Integrating Reliability Centered Maintenance and Spare Parts Stock Control," Econometric Institute Research Papers EI 2010-16, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. van Jaarsveld, W.L. & Dekker, R., 2009. "Risk-based stock decisions for projects," Econometric Institute Research Papers EI 2009-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  39. Pak, K. & Dekker, R., 2004. "Cargo Revenue Management: Bid-Prices for a 0-1 Multi Knapsack Problem," ERIM Report Series Research in Management ERS-2004-055-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Bart Riessen & Rudy R. Negenborn & Rommert Dekker, 2017. "The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 634-658, December.
    2. Luo, Sirong & Çakany?ld?r?m, Metin & Kasilingam, Raja G., 2009. "Two-dimensional cargo overbooking models," European Journal of Operational Research, Elsevier, vol. 197(3), pages 862-883, September.
    3. Long Gao & Jim (Junmin) Shi & Michael F. Gorman & Ting Luo, 2020. "Business Analytics for Intermodal Capacity Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(2), pages 310-329, March.
    4. Michael F. Gorman & John-Paul Clarke & Amir Hossein Gharehgozli & Michael Hewitt & René de Koster & Debjit Roy, 2014. "State of the Practice: A Review of the Application of OR/MS in Freight Transportation," Interfaces, INFORMS, vol. 44(6), pages 535-554, December.
    5. van Riessen, B. & Negenborn, R.R. & Dekker, R., 2016. "Real-time Container Transport Planning with Decision Trees based on Offline Obtained Optimal Solutions," Econometric Institute Research Papers EI2016-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Masato Wada & Felipe Delgado & Bernardo K. Pagnoncelli, 2017. "A risk averse approach to the capacity allocation problem in the airline cargo industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 643-651, June.
    7. Kannapha Amaruchkul & William L. Cooper & Diwakar Gupta, 2007. "Single-Leg Air-Cargo Revenue Management," Transportation Science, INFORMS, vol. 41(4), pages 457-469, November.
    8. Andreea Popescu & Earl Barnes & Ellis Johnson & Pinar Keskinocak, 2013. "Bid Prices When Demand Is a Mix of Individual and Batch Bookings," Transportation Science, INFORMS, vol. 47(2), pages 198-213, May.
    9. Han, Dong Ling & Tang, Loon Ching & Huang, Huei Chuen, 2010. "A Markov model for single-leg air cargo revenue management under a bid-price policy," European Journal of Operational Research, Elsevier, vol. 200(3), pages 800-811, February.
    10. Klein, Robert & Koch, Sebastian & Steinhardt, Claudius & Strauss, Arne K., 2020. "A review of revenue management: Recent generalizations and advances in industry applications," European Journal of Operational Research, Elsevier, vol. 284(2), pages 397-412.
    11. Wai Hung Wong & Anming Zhang & Yer Van Hui & Lawrence C. Leung, 2009. "Optimal Baggage-Limit Policy: Airline Passenger and Cargo Allocation," Transportation Science, INFORMS, vol. 43(3), pages 355-369, August.
    12. Lin, Danping & Lee, Carman Ka Man & Yang, Jilin, 2017. "Air cargo revenue management under buy-back policy," Journal of Air Transport Management, Elsevier, vol. 61(C), pages 53-63.

  40. Porras Musalem, E. & Dekker, R., 2004. "On the efficiency of optimal algorithms for the joint replenishment problem: a comparative study," Econometric Institute Research Papers EI 2004-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jen-Yen Lin & Ming-Jong Yao, 2020. "The joint replenishment problem with trade credits," Journal of Global Optimization, Springer, vol. 76(2), pages 347-382, February.
    2. Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    3. Porras Musalem, E. & Dekker, R., 2003. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," Econometric Institute Research Papers EI 2003-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  41. Eric Porras Musalem & Rommert Dekker, 2003. "Controlling Inventories in a Supply Chain," Tinbergen Institute Discussion Papers 03-012/4, Tinbergen Institute.

    Cited by:

    1. Porras Musalem, E. & Dekker, R., 2003. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," Econometric Institute Research Papers EI 2003-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  42. de Brito, M.P. & Dekker, R. & Flapper, S.D.P., 2003. "Reverse Logistics - a review of case studies," ERIM Report Series Research in Management ERS-2003-012-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Jen-Ming Chen & Chia-I Chang, 2012. "The economics of hybrid manufacturing systems in a closed-loop supply chain," Netnomics, Springer, vol. 13(2), pages 79-91, July.
    2. Polotski, V. & Kenne, J.-P. & Gharbi, A., 2019. "Joint production and maintenance optimization in flexible hybrid Manufacturing–Remanufacturing systems under age-dependent deterioration," International Journal of Production Economics, Elsevier, vol. 216(C), pages 239-254.
    3. Olga Lingaitienė & Aurelija Burinskienė & Vida Davidavičienė, 2022. "Case Study of Municipal Waste and Its Reliance on Reverse Logistics in European Countries," Sustainability, MDPI, vol. 14(3), pages 1-24, February.
    4. Phantratanamongkol, Supanan & Casalin, Fabrizio & Pang, Gu & Sanderson, Joseph, 2018. "The price-volume relationship for new and remanufactured smartphones," International Journal of Production Economics, Elsevier, vol. 199(C), pages 78-94.
    5. Lutz Preuss, 2007. "Contribution Of Purchasing And Supply Management To Ecological Innovation," International Journal of Innovation Management (ijim), World Scientific Publishing Co. Pte. Ltd., vol. 11(04), pages 515-537.
    6. Vahab Vahdat & Mohammad Ali Vahdatzad, 2017. "Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty," Logistics, MDPI, vol. 1(2), pages 1-21, December.
    7. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    8. de Brito, M.P. & van der Laan, E.A., 2003. "Inventory Management with product returns: the value of information," ERIM Report Series Research in Management ERS-2003-060-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Hariyani, Dharmendra & Mishra, Sanjeev & Hariyani, Poonam & Sharma, Milind Kumar, 2023. "Drivers and motives for sustainable manufacturing system," Innovation and Green Development, Elsevier, vol. 2(1).
    10. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Green decision-making model in reverse logistics using FUZZY-VIKOR method," Resources, Conservation & Recycling, Elsevier, vol. 103(C), pages 125-138.
    11. Haji Vahabzadeh, Ali & Asiaei, Arash & Zailani, Suhaiza, 2015. "Reprint of “Green decision-making model in reverse logistics using FUZZY-VIKOR method”," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 334-347.
    12. Kalogerakis, Katharina & Drabe, Viktoria & Paramasivam, Mugundan & Herstatt, Cornelius, 2015. "Closed-Loop Supply Chains for Cradle to Cradle Products," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Sustainability in Logistics and Supply Chain Management: New Designs and Strategies. Proceedings of the Hamburg International Conference of Logistics , volume 21, pages 3-34, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    13. Walther, Grit & Schmid, Eberhard & Spengler, Thomas S., 2008. "Negotiation-based coordination in product recovery networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 334-350, February.
    14. Krikke, Harold & Hofenk, Dianne & Wang, Yacan, 2013. "Revealing an invisible giant: A comprehensive survey into return practices within original (closed-loop) supply chains," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 239-250.
    15. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.
    16. Chen, Jen-Ming & Chang, Chia-I, 2012. "The co-opetitive strategy of a closed-loop supply chain with remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 387-400.
    17. de Brito, M.P. & Dekker, R., 2003. "A Framework for Reverse Logistics," ERIM Report Series Research in Management ERS-2003-045-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    18. Chen, Jen-Ming & Chang, Chia-I, 2013. "Dynamic pricing for new and remanufactured products in a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 146(1), pages 153-160.
    19. Álvarez, María José & Berrone, Pascual Alberto & Husillos, F. Javier & Lado, Nora, 2005. "The explanatory power of trust and commitment and stakeholders' salience : their influence on the reverse logistics programs performance," DEE - Working Papers. Business Economics. WB wb050303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    20. Polotski, Vladimir & Kenne, Jean-Pierre & Gharbi, Ali, 2017. "Production and setup policy optimization for hybrid manufacturing–remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 322-333.

  43. de Brito, M.P. & Dekker, R., 2003. "A Framework for Reverse Logistics," ERIM Report Series Research in Management ERS-2003-045-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
    2. de Brito, M.P. & van der Laan, E.A., 2003. "Inventory Management with product returns: the value of information," ERIM Report Series Research in Management ERS-2003-060-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Hesti Maheswari & Gatot Yudoko & Akbar Adhiutama, 2019. "Government and Intermediary Business Engagement for Controlling Electronic Waste in Indonesia: A Sustainable Reverse Logistics Theory through Customer Value Chain Analysis," Sustainability, MDPI, vol. 11(3), pages 1-20, January.
    4. Bazan, Ehab & Jaber, Mohamad Y. & Zanoni, Simone, 2017. "Carbon emissions and energy effects on a two-level manufacturer-retailer closed-loop supply chain model with remanufacturing subject to different coordination mechanisms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 394-408.
    5. Radoslav Škapa, 2011. "Reverse logistics in the Czech Republic: Barriers to development," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(4), pages 363-370.
    6. Gan, Shu San & Pujawan, I. Nyoman & Suparno, & Widodo, Basuki, 2015. "Pricing decision model for new and remanufactured short-life cycle products with time-dependent demand," Operations Research Perspectives, Elsevier, vol. 2(C), pages 1-12.
    7. Radoslav Škapa, 2014. "Formalized Planning and Its Connection With the Development of Reverse Logistics: the Case of Services," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(4), pages 749-755.
    8. Wang, Yacan & Hazen, Benjamin T., 2016. "Consumer product knowledge and intention to purchase remanufactured products," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 460-469.
    9. Longfei He & Chenglin Hu & Daozhi Zhao & Haili Lu & Xiaoxi Fu & Yiyu Li, 2016. "Carbon emission mitigation through regulatory policies and operations adaptation in supply chains: theoretic developments and extensions," Natural Hazards: Journal of the International Society for the Prevention and Mitigation of Natural Hazards, Springer;International Society for the Prevention and Mitigation of Natural Hazards, vol. 84(1), pages 179-207, November.
    10. Khor, Kuan Siew & Udin, Zulkifli Mohamed & Ramayah, Thurasamy & Hazen, Benjamin T., 2016. "Reverse logistics in Malaysia: The Contingent role of institutional pressure," International Journal of Production Economics, Elsevier, vol. 175(C), pages 96-108.
    11. Soto Zuluaga, Juan Pablo & Thiell, Marcus & Colomé Perales, Rosa, 2017. "Reverse cross-docking," Omega, Elsevier, vol. 66(PA), pages 48-57.
    12. de Brito, M.P., 2003. "Promising Areas for Future Research on Reverse Logistics: an exploratory study," ERIM Report Series Research in Management ERS-2003-061-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Ciliberti, Francesco & Pontrandolfo, Pierpaolo & Scozzi, Barbara, 2008. "Logistics social responsibility: Standard adoption and practices in Italian companies," International Journal of Production Economics, Elsevier, vol. 113(1), pages 88-106, May.
    14. Derek Voigt & Nelson Casarotto Filho & Mayara Atherino Macedo & Thais Guerra Braga & Rodrigo Ulisses Garbin da Rocha, 2019. "Performance Evaluation of Reverse Logistics: Opportunities for Future Research," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    15. Fleischmann, M. & van Nunen, J.A.E.E. & Graeve, B. & Gapp, R., 2004. "Reverse Logistics – Capturing Value in the Extended Supply Chain," ERIM Report Series Research in Management ERS-2004-091-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    16. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2016. "A general production and recovery EOQ model with stationary demand and return rates," Discussion Papers 378, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    17. Paul Wanjora Kariuki & Esther Wangethi Waiganjo, 2014. "Factors Affecting Adoption of Reverse Logistics in the Kenya Manufacturing Sector: A Case Study of Coastal Bottlers Company," International Journal of Academic Research in Business and Social Sciences, Human Resource Management Academic Research Society, International Journal of Academic Research in Business and Social Sciences, vol. 4(9), pages 84-97, September.

  44. Pak, K. & Dekker, R. & Kindervater, G.A.P., 2003. "Airline Revenue Management with Shifting Capacity," Econometric Institute Research Papers ERS-2003-091-LIS, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Gönsch, Jochen, 2017. "A survey on risk-averse and robust revenue management," European Journal of Operational Research, Elsevier, vol. 263(2), pages 337-348.

  45. van Asperen, E. & Dekker, R. & Polman, M. & de Swaan Arons, H. & Waltman, L., 2003. "Arrival Processes for Vessels in a Port Simulation," ERIM Report Series Research in Management ERS-2003-067-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Antonio Di Crescenzo & Barbara Martinucci & Paola Paraggio, 2023. "Vessels Arrival Process and its Application to the SHIP/M/ $$\infty$$ ∞ Queue," Methodology and Computing in Applied Probability, Springer, vol. 25(1), pages 1-33, March.

  46. Vromans, M.J.C.M. & Dekker, R. & Kroon, L.G., 2003. "Reliability and heterogeneity of railway services," ERIM Report Series Research in Management ERS-2003-090-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. Lee, Yusin & Lu, Li-Sin & Wu, Mei-Ling & Lin, Dung-Ying, 2017. "Balance of efficiency and robustness in passenger railway timetables," Transportation Research Part B: Methodological, Elsevier, vol. 97(C), pages 142-156.
    2. Maosheng Li & Zhengqiu Liu & Yonghong Zhang & Weijun Liu & Feng Shi, 2017. "Distribution analysis of train interval journey time employing the censored model with shifting character," Journal of Applied Statistics, Taylor & Francis Journals, vol. 44(4), pages 715-733, March.
    3. Yiting Xing & Ling Li & Zhuming Bi & Marzena Wilamowska‐Korsak & Li Zhang, 2013. "Operations Research (OR) in Service Industries: A Comprehensive Review," Systems Research and Behavioral Science, Wiley Blackwell, vol. 30(3), pages 300-353, May.
    4. Dewilde, Thijs & Sels, Peter & Cattrysse, Dirk & Vansteenwegen, Pieter, 2014. "Improving the robustness in railway station areas," European Journal of Operational Research, Elsevier, vol. 235(1), pages 276-286.
    5. Solinen, Emma & Palmqvist, Carl-William, 2023. "Development of new railway timetabling rules for increased robustness," Transport Policy, Elsevier, vol. 133(C), pages 198-208.
    6. Zhang, Jiamin, 2015. "Analysis on line capacity usage for China high speed railway with optimization approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 77(C), pages 336-349.
    7. Parbo, Jens & Nielsen, Otto A. & Prato, Carlo G., 2018. "Reducing passengers’ travel time by optimising stopping patterns in a large-scale network: A case-study in the Copenhagen Region," Transportation Research Part A: Policy and Practice, Elsevier, vol. 113(C), pages 197-212.
    8. Chen, Hong & Cullinane, Kevin & Liu, Nan, 2017. "Developing a model for measuring the resilience of a port-hinterland container transportation network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 282-301.
    9. Zhichao Cao & Zhenzhou Yuan & Silin Zhang, 2016. "Performance Analysis of Stop-Skipping Scheduling Plans in Rail Transit under Time-Dependent Demand," IJERPH, MDPI, vol. 13(7), pages 1-23, July.
    10. Krier, Betty & Liu, Chia-Mei & McNamara, Brian & Sharpe, Jerrod, 2014. "Individual freight effects, capacity utilization, and Amtrak service quality," Transportation Research Part A: Policy and Practice, Elsevier, vol. 64(C), pages 163-175.
    11. Hyun Kim & Yena Song, 2018. "An integrated measure of accessibility and reliability of mass transit systems," Transportation, Springer, vol. 45(4), pages 1075-1100, July.
    12. Jens Parbo & Otto Anker Nielsen & Carlo Giacomo Prato, 2016. "Passenger Perspectives in Railway Timetabling: A Literature Review," Transport Reviews, Taylor & Francis Journals, vol. 36(4), pages 500-526, July.
    13. Liping Ge & Stefan Voß & Lin Xie, 2022. "Robustness and disturbances in public transport," Public Transport, Springer, vol. 14(1), pages 191-261, March.
    14. Meng, Lingyun & Zhou, Xuesong, 2011. "Robust single-track train dispatching model under a dynamic and stochastic environment: A scenario-based rolling horizon solution approach," Transportation Research Part B: Methodological, Elsevier, vol. 45(7), pages 1080-1102, August.
    15. M. D. Yap & N. Oort & R. Nes & B. Arem, 2018. "Identification and quantification of link vulnerability in multi-level public transport networks: a passenger perspective," Transportation, Springer, vol. 45(4), pages 1161-1180, July.
    16. Lusby, Richard M. & Larsen, Jesper & Bull, Simon, 2018. "A survey on robustness in railway planning," European Journal of Operational Research, Elsevier, vol. 266(1), pages 1-15.
    17. Simon Bull & Jesper Larsen & Richard M. Lusby & Natalia J. Rezanova, 2019. "Optimising the travel time of a line plan," 4OR, Springer, vol. 17(3), pages 225-259, September.
    18. Fredrik Ljunggren & Kristian Persson & Anders Peterson & Christiane Schmidt, 2021. "Railway timetabling: a maximum bottleneck path algorithm for finding an additional train path," Public Transport, Springer, vol. 13(3), pages 597-623, October.
    19. Jovanović, Predrag & Kecman, Pavle & Bojović, Nebojša & Mandić, Dragomir, 2017. "Optimal allocation of buffer times to increase train schedule robustness," European Journal of Operational Research, Elsevier, vol. 256(1), pages 44-54.
    20. Vansteenwegen, Pieter & Dewilde, Thijs & Burggraeve, Sofie & Cattrysse, Dirk, 2016. "An iterative approach for reducing the impact of infrastructure maintenance on the performance of railway systems," European Journal of Operational Research, Elsevier, vol. 252(1), pages 39-53.
    21. Franciszek Restel & Łukasz Wolniewicz & Matea Mikulčić, 2021. "Method for Designing Robust and Energy Efficient Railway Schedules," Energies, MDPI, vol. 14(24), pages 1-12, December.
    22. Reggiani, Aura & Nijkamp, Peter & Lanzi, Diego, 2015. "Transport resilience and vulnerability: The role of connectivity," Transportation Research Part A: Policy and Practice, Elsevier, vol. 81(C), pages 4-15.
    23. Oskar Fr�idh & Hans Sipil� & Jennifer Warg, 2014. "Capacity for express trains on mixed traffic lines," International Journal of Rail Transportation, Taylor & Francis Journals, vol. 2(1), pages 17-27, February.
    24. Chihmao Hsieh & Sérgio Giovanetti Lazzarini & Jackson A. Nickerson & Marcio Laurini, 2010. "Does Ownership Affect the Variability of the Production Process? Evidence from International Courier Services," Organization Science, INFORMS, vol. 21(4), pages 892-912, August.

  47. Porras Musalem, E. & Dekker, R., 2003. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," Econometric Institute Research Papers EI 2003-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Shiyu Liu & Ou Liu & Xiaoming Jiang, 2023. "An Efficient Algorithm for the Joint Replenishment Problem with Quantity Discounts, Minimum Order Quantity and Transport Capacity Constraints," Mathematics, MDPI, vol. 11(4), pages 1-18, February.
    2. Porras Musalem, E. & Dekker, R., 2004. "On the efficiency of optimal algorithms for the joint replenishment problem: a comparative study," Econometric Institute Research Papers EI 2004-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Chan, Chi Kin & Yuk-on Li, Leon & To Ng, Chi & Kin-sion Cheung, Bernard & Langevin, Andre, 2006. "Scheduling of multi-buyer joint replenishments," International Journal of Production Economics, Elsevier, vol. 102(1), pages 132-142, July.
    4. Amaya, Ciro Alberto & Carvajal, Jimmy & Castaño, Fabian, 2013. "A heuristic framework based on linear programming to solve the constrained joint replenishment problem (C-JRP)," International Journal of Production Economics, Elsevier, vol. 144(1), pages 243-247.
    5. Hellion, Bertrand & Mangione, Fabien & Penz, Bernard, 2012. "A polynomial time algorithm to solve the single-item capacitated lot sizing problem with minimum order quantities and concave costs," European Journal of Operational Research, Elsevier, vol. 222(1), pages 10-16.
    6. Seyed Hamid Reza Pasandideh & Seyed Taghi Akhavan Niaki & Reza Abdollahi, 2020. "Modeling and solving a bi-objective joint replenishment-location problem under incremental discount: MOHSA and NSGA-II," Operational Research, Springer, vol. 20(4), pages 2365-2396, December.
    7. Okhrin, Irena & Richter, Knut, 2011. "The linear dynamic lot size problem with minimum order quantity," International Journal of Production Economics, Elsevier, vol. 133(2), pages 688-693, October.
    8. Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    9. Muriel, Ana & Chugh, Tammana & Prokle, Michael, 2022. "Efficient algorithms for the joint replenishment problem with minimum order quantities," European Journal of Operational Research, Elsevier, vol. 300(1), pages 137-150.
    10. Porras, Eric & Dekker, Rommert, 2008. "A solution method for the joint replenishment problem with correction factor," International Journal of Production Economics, Elsevier, vol. 113(2), pages 834-851, June.
    11. Khouja, Moutaz & Goyal, Suresh, 2008. "A review of the joint replenishment problem literature: 1989-2005," European Journal of Operational Research, Elsevier, vol. 186(1), pages 1-16, April.
    12. Saravanan Venkatachalam & Arunachalam Narayanan, 2016. "Efficient formulation and heuristics for multi-item single source ordering problem with transportation cost," International Journal of Production Research, Taylor & Francis Journals, vol. 54(14), pages 4087-4103, July.
    13. Okhrin, Irena & Richter, Knut, 2010. "An O(Tˆ3) algorithm for the capacitated lot sizing problem with minimum order quantities," Discussion Papers 284, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    14. Xuefei Shi & Haiyan Wang, 2022. "Design of the cost allocation rule for joint replenishment to an overseas warehouse with a piecewise linear holding cost rate," Operational Research, Springer, vol. 22(5), pages 4905-4929, November.
    15. Wang, Lin & He, Jing & Wu, Desheng & Zeng, Yu-Rong, 2012. "A novel differential evolution algorithm for joint replenishment problem under interdependence and its application," International Journal of Production Economics, Elsevier, vol. 135(1), pages 190-198.
    16. Ji Seong Noh & Jong Soo Kim & Biswajit Sarkar, 2019. "Stochastic joint replenishment problem with quantity discounts and minimum order constraints," Operational Research, Springer, vol. 19(1), pages 151-178, March.
    17. Hoque, M.A., 2008. "Synchronization in the single-manufacturer multi-buyer integrated inventory supply chain," European Journal of Operational Research, Elsevier, vol. 188(3), pages 811-825, August.
    18. Zhu, Han & Liu, Xing & Chen, Youhua (Frank), 2015. "Effective inventory control policies with a minimum order quantity and batch ordering," International Journal of Production Economics, Elsevier, vol. 168(C), pages 21-30.
    19. Vinod Kumar Mishra & Kripa Shanker, 2017. "Optimal ordering quantities for substitutable items under joint replenishment with cost of substitution," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 27(1), pages 77-104.
    20. Porras Musalem, E. & Dekker, R., 2005. "Generalized Solutions for the joint replenishment problem with correction factor," Econometric Institute Research Papers EI 2005-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Hoque, M.A., 2006. "An optimal solution technique for the joint replenishment problem with storage and transport capacities and budget constraints," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1033-1042, December.

  48. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Yıldız, Gazi Bilal & Soylu, Banu, 2019. "A multiobjective post-sales guarantee and repair services network design problem," International Journal of Production Economics, Elsevier, vol. 216(C), pages 305-320.
    2. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Murat Selim Selvi & Yasemin Kayar, 2016. "Reverse Logistics Activities in Enterprises and Implementation Reasons," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 5(1), pages 15-29, January.
    4. Md. Abdul Moktadir & Towfique Rahman & Syed Mithun Ali & Nazmun Nahar & Sanjoy Kumar Paul, 2020. "Examining barriers to reverse logistics practices in the leather footwear industry," Annals of Operations Research, Springer, vol. 293(2), pages 715-746, October.
    5. Ene, Seval & Öztürk, Nursel, 2017. "Grey modelling based forecasting system for return flow of end-of-life vehicles," Technological Forecasting and Social Change, Elsevier, vol. 115(C), pages 155-166.
    6. Toyin Adebayo, 2022. "An evaluation of reverse logistics responsiveness and customer satisfaction in retailing," International Journal of Research in Business and Social Science (2147-4478), Center for the Strategic Studies in Business and Finance, vol. 11(1), pages 93-98, January.
    7. de Brito, M.P. & de Koster, M.B.M., 2003. "Product Return Handling," ERIM Report Series Research in Management ERS-2003-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    9. de Brito, M.P. & van der Laan, E.A., 2002. "Inventory control with product returns: the impact of (mis)information," Econometric Institute Research Papers EI 2002-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Sumalee Pumpinyo & Vilas Nitivattananon, 2014. "Investigation of Barriers and Factors Affecting the Reverse Logistics of Waste Management Practice: A Case Study in Thailand," Sustainability, MDPI, vol. 6(10), pages 1-15, October.
    11. Pauline Keh & Florence Rodhain & Régis Meissonier & Virginie Llorca, 2012. "Financial performance, environmental compliance, and social outcomes: The three challenges of reverse logistics," Post-Print hal-01965596, HAL.
    12. Josip Marić & Marco Opazo-Basáez, 2019. "Green Servitization for Flexible and Sustainable Supply Chain Operations: A Review of Reverse Logistics Services in Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 20(1), pages 65-80, December.
    13. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.

  49. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Ta-Yu Chen & Woo-Tsong Lin & Chwen Sheu, 2018. "A Dynamic Failure Rate Forecasting Model for Service Parts Inventory," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    2. Asmaa Bentamar & Kacem Taj & Omar Ourahou, 2021. "Resource-Based Approaches: A Framework for Analyzing Competitiveness in the Context of Reverse Logistics," Post-Print hal-03281628, HAL.
    3. Muhammad Waqas & Qian-li Dong & Naveed Ahmad & Yuming Zhu & Muhammad Nadeem, 2018. "Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    4. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    5. Tobias Schulz & Ivan Ferretti, 2008. "On the alignment of lot sizing decisions in a remanufacturing system in the presence of random yield," FEMM Working Papers 08034, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    6. de Brito, Marisa P. & van der Laan, Erwin A., 2009. "Inventory control with product returns: The impact of imperfect information," European Journal of Operational Research, Elsevier, vol. 194(1), pages 85-101, April.
    7. Zuidwijk, Rob & Krikke, Harold, 2008. "Strategic response to EEE returns:: Product eco-design or new recovery processes?," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1206-1222, December.
    8. Canan Savaskan & Luk N. van Wassenhove, 2001. "The Strategic Decentralization of Reverse Channels and Prince Discrimination Through Buyback Payments," Discussion Papers 1329, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    9. Gerardo Berbeglia & Jean-François Cordeau & Irina Gribkovskaia & Gilbert Laporte, 2007. "Static pickup and delivery problems: a classification scheme and survey," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 15(1), pages 1-31, July.
    10. de Brito, M.P. & van der Laan, E.A., 2003. "Inventory Management with product returns: the value of information," ERIM Report Series Research in Management ERS-2003-060-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    11. M. Fonseca & Álvaro García-Sánchez & Miguel Ortega-Mier & Francisco Saldanha-da-Gama, 2010. "A stochastic bi-objective location model for strategic reverse logistics," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 158-184, July.
    12. de Brito, M.P. & Dekker, R. & Flapper, S.D.P., 2003. "Reverse Logistics - a review of case studies," ERIM Report Series Research in Management ERS-2003-012-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    13. Alena Klapalová, 2013. "Reverse logistics policy - differences between conservative and innovative reverse logistics management," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 61(7), pages 2285-2294.
    14. José L. Vilar-Zanón & Eduardo Vilar & Antonio Heras, 2017. "Online product returns risk assessment and management," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 25(3), pages 445-466, October.
    15. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    16. Kenné, Jean-Pierre & Dejax, Pierre & Gharbi, Ali, 2012. "Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 135(1), pages 81-93.
    17. Hsien-Jen Lin, 2015. "Two-echelon stochastic inventory system with returns and partial backlogging," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(6), pages 966-975, April.
    18. Zailani, Suhaiza & Jeyaraman, K. & Vengadasan, G. & Premkumar, R., 2012. "Sustainable supply chain management (SSCM) in Malaysia: A survey," International Journal of Production Economics, Elsevier, vol. 140(1), pages 330-340.
    19. Chung, Chun-Jen & Wee, Hui-Ming, 2011. "Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 195-203, January.
    20. Hicham Abbad & Bruno Durand & Marie-Pascale Senkel, 2016. "Chapter 17: The sustainable strategies of the logistic service providers [Chapitre 17 : Les stratégies durables des prestataires de services logistiques]," Post-Print hal-01773225, HAL.
    21. Silviya Blagoeva (ed.), 2017. "Modern Logistics – Business And Education," Conferences of the Industrial business and logistics department, Publishing house Science and Economics Varna, number 1.
    22. Guanshuang Jiang & Qi Wang & Ke Wang & Qianyu Zhang & Jian Zhou, 2020. "A Novel Closed-Loop Supply Chain Network Design Considering Enterprise Profit and Service Level," Sustainability, MDPI, vol. 12(2), pages 1-21, January.
    23. Repoussis, P.P. & Paraskevopoulos, D.C. & Zobolas, G. & Tarantilis, C.D. & Ioannou, G., 2009. "A web-based decision support system for waste lube oils collection and recycling," European Journal of Operational Research, Elsevier, vol. 195(3), pages 676-700, June.
    24. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    25. Marta Starostka-Patyk, 2007. "End-Of-Use Products In Reverse Logistics," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 1(1), pages 81-85, December.
    26. Serban RAICU & Mihaela POPA & Eugen ROSCA & Vasile DRAGU, 2009. "Reverse logistics and space allocation for recovery management in new urban settlements," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 4(3(12)), pages 37-48, August.
    27. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Mabel C. Chou & Chee-Khian Sim & Xue-Ming Yuan, 2020. "Policies for inventory models with product returns forecast from past demands and past sales," Annals of Operations Research, Springer, vol. 288(1), pages 137-180, May.
    29. NNC Pushpamali & Duzgun Agdas & Timothy M. Rose, 2019. "A Review of Reverse Logistics: An Upstream Construction Supply Chain Perspective," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    30. Rainer Kleber & Tobias Schulz & Guido Voigt, 2009. "Dynamic buy-back for product recovery in end-of-life spare parts procurement," FEMM Working Papers 09026, Otto-von-Guericke University Magdeburg, Faculty of Economics and Management.
    31. Ketzenberg, M.E. & van der Laan, E.A. & Teunter, R.H., 2004. "The Value of Information in Reverse Logistics," ERIM Report Series Research in Management ERS-2004-053-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    32. Tom Lahti & Joakim Wincent & Vinit Parida, 2018. "A Definition and Theoretical Review of the Circular Economy, Value Creation, and Sustainable Business Models: Where Are We Now and Where Should Research Move in the Future?," Sustainability, MDPI, vol. 10(8), pages 1-19, August.
    33. José Antonio Plaza-Úbeda & Emilio Abad-Segura & Jerónimo de Burgos-Jiménez & Antoaneta Boteva-Asenova & Luis Jesús Belmonte-Ureña, 2020. "Trends and New Challenges in the Green Supply Chain: The Reverse Logistics," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    34. Gernot Lechner & Marc Reimann, 2015. "The R.U.S.Z.-case: an independent, non-profit reprocessing and repair company," Working Paper Series, Social and Economic Sciences 2015-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    35. Alumura, Sibel A. & Karab, Bahar Y. & Melo, M. Teresa, 2013. "Location and logistics," Technical Reports on Logistics of the Saarland Business School 5, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    36. Xuehong Gao, 2019. "A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
    37. Gan, Shu San & Pujawan, I. Nyoman & Suparno, & Widodo, Basuki, 2015. "Pricing decision model for new and remanufactured short-life cycle products with time-dependent demand," Operations Research Perspectives, Elsevier, vol. 2(C), pages 1-12.
    38. Radoslav Škapa, 2014. "Formalized Planning and Its Connection With the Development of Reverse Logistics: the Case of Services," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 62(4), pages 749-755.
    39. Kalogerakis, Katharina & Drabe, Viktoria & Paramasivam, Mugundan & Herstatt, Cornelius, 2015. "Closed-Loop Supply Chains for Cradle to Cradle Products," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Sustainability in Logistics and Supply Chain Management: New Designs and Strategies. Proceedings of the Hamburg International Conference of Logistics , volume 21, pages 3-34, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    40. Walther, Grit & Schmid, Eberhard & Spengler, Thomas S., 2008. "Negotiation-based coordination in product recovery networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 334-350, February.
    41. Faustino Alarcón & Pascual Cortés-Pellicer & David Pérez-Perales & Raquel Sanchis, 2020. "Sustainability vs. Circular Economy from a Disposition Decision Perspective: A Proposal of a Methodology and an Applied Example in SMEs," Sustainability, MDPI, vol. 12(23), pages 1-26, December.
    42. Sadok Turki & Stanislav Didukh & Christophe Sauvey & Nidhal Rezg, 2017. "Optimization and Analysis of a Manufacturing–Remanufacturing–Transport–Warehousing System within a Closed-Loop Supply Chain," Sustainability, MDPI, vol. 9(4), pages 1-20, April.
    43. Le Blanc, H.M. & Fleuren, H.A. & Krikke, H.R., 2002. "Network Designs for LPG Tanks in the Netherlands," Discussion Paper 2002-1, Tilburg University, Center Applied Research.
    44. Blanka Tundys & Tomasz Wiśniewski, 2018. "The Selected Method and Tools for Performance Measurement in the Green Supply Chain—Survey Analysis in Poland," Sustainability, MDPI, vol. 10(2), pages 1-26, February.
    45. Saeid Rezaei & Amirsaman Kheirkhah, 2018. "A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 51-98, March.
    46. de Brito, M.P. & van der Laan, E.A., 2002. "Inventory control with product returns: the impact of (mis)information," Econometric Institute Research Papers EI 2002-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    47. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & Spengler, T., 2007. "From Closed-Loop to Sustainable Supply Chains: The WEEE case," ERIM Report Series Research in Management ERS-2007-036-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    48. Wenyuan Wang & Daniel Y. Mo & Yue Wang & Mitchell M. Tseng, 2019. "Assessing the cost structure of component reuse in a product family for remanufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 575-587, February.
    49. de Brito, M.P., 2003. "Promising Areas for Future Research on Reverse Logistics: an exploratory study," ERIM Report Series Research in Management ERS-2003-061-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    50. Agatz, N.A.H. & Fleischmann, M. & van Nunen, J.A.E.E., 2006. "E-Fulfillment and Multi-Channel Distribution – A Review," ERIM Report Series Research in Management ERS-2006-042-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    51. Marisa P. De Brito & Erwin A. Van der Laan, 2010. "Supply Chain Management and Sustainability: Procrastinating Integration in Mainstream Research," Sustainability, MDPI, vol. 2(4), pages 1-12, March.
    52. Alena Klapalová, 2012. "Reverse logistics and 3PL in the Czech Republic," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 60(7), pages 163-170.
    53. Chung, Chun-Jen & Wee, Hui-Ming, 2008. "Green-component life-cycle value on design and reverse manufacturing in semi-closed supply chain," International Journal of Production Economics, Elsevier, vol. 113(2), pages 528-545, June.
    54. Teunter, Ruud H. & Flapper, Simme Douwe P., 2011. "Optimal core acquisition and remanufacturing policies under uncertain core quality fractions," European Journal of Operational Research, Elsevier, vol. 210(2), pages 241-248, April.
    55. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.
    56. de Brito, M.P. & Dekker, R., 2003. "A Framework for Reverse Logistics," ERIM Report Series Research in Management ERS-2003-045-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    57. Pauline Keh & Florence Rodhain & Régis Meissonier & Virginie Llorca, 2012. "Financial performance, environmental compliance, and social outcomes: The three challenges of reverse logistics," Post-Print hal-01965596, HAL.
    58. Toktay, B. & van der Laan, E.A. & de Brito, M.P., 2003. "Managing Product Returns: The Role of Forecasting," ERIM Report Series Research in Management ERS-2003-023-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    59. Derek Voigt & Nelson Casarotto Filho & Mayara Atherino Macedo & Thais Guerra Braga & Rodrigo Ulisses Garbin da Rocha, 2019. "Performance Evaluation of Reverse Logistics: Opportunities for Future Research," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    60. Ye, Fei & Zhao, Xiande & Prahinski, Carol & Li, Yina, 2013. "The impact of institutional pressures, top managers' posture and reverse logistics on performance—Evidence from China," International Journal of Production Economics, Elsevier, vol. 143(1), pages 132-143.
    61. Ayşe Nur Adıgüzel Tüylü & Ergün Eroğlu, 2019. "Using Machine Learning Algorithms For Forecasting Rate of Return Product In Reverse Logistics Process," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(1), pages 143-156, June.
    62. Raffaele Isernia & Renato Passaro & Ivana Quinto & Antonio Thomas, 2019. "The Reverse Supply Chain of the E-Waste Management Processes in a Circular Economy Framework: Evidence from Italy," Sustainability, MDPI, vol. 11(8), pages 1-19, April.
    63. Diana Puspita Sari & Nur Aini Masruroh & Anna Maria Sri Asih, 2021. "Consumer Intention to Participate in E-Waste Collection Programs: A Study of Smartphone Waste in Indonesia," Sustainability, MDPI, vol. 13(5), pages 1-28, March.
    64. Álvarez, María José & Berrone, Pascual Alberto & Husillos, F. Javier & Lado, Nora, 2005. "The explanatory power of trust and commitment and stakeholders' salience : their influence on the reverse logistics programs performance," DEE - Working Papers. Business Economics. WB wb050303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    65. Sergio Rubio & Beatriz Jiménez-Parra & Antonio Chamorro-Mera & Francisco J. Miranda, 2019. "Reverse Logistics and Urban Logistics: Making a Link," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    66. Raquel Lopes Oliveira & Liliane Dolores Fagundes & Renato da Silva Lima & Marcelo Montaño, 2020. "Discrete event simulation to aid decision-making and mitigation in solid waste management," Mitigation and Adaptation Strategies for Global Change, Springer, vol. 25(1), pages 67-85, January.
    67. Kate J. Li & Duncan K. H. Fong & Susan H. Xu, 2011. "Managing Trade-in Programs Based on Product Characteristics and Customer Heterogeneity in Business-to-Business Markets," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 108-123, October.
    68. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2016. "A general production and recovery EOQ model with stationary demand and return rates," Discussion Papers 378, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

  50. Dekker, R. & de Koster, M.B.M. & van Kalleveen, H. & Roodbergen, K.J., 2002. "Quick Response Practices at the Warehouse of Ankor," ERIM Report Series Research in Management ERS-2002-19-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

    Cited by:

    1. de Brito, M.P. & de Koster, M.B.M., 2003. "Product Return Handling," ERIM Report Series Research in Management ERS-2003-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  51. Listes, O.L. & Dekker, R., 2002. "A scenario aggregation based approach for determining a robust airline fleet composition," Econometric Institute Research Papers EI 2002-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Sergey Shebalov & Diego Klabjan, 2006. "Robust Airline Crew Pairing: Move-up Crews," Transportation Science, INFORMS, vol. 40(3), pages 300-312, August.
    2. Barry C. Smith & Ellis L. Johnson, 2006. "Robust Airline Fleet Assignment: Imposing Station Purity Using Station Decomposition," Transportation Science, INFORMS, vol. 40(4), pages 497-516, November.
    3. Lee, Loo Hay & Lee, Chul Ung & Tan, Yen Ping, 2007. "A multi-objective genetic algorithm for robust flight scheduling using simulation," European Journal of Operational Research, Elsevier, vol. 177(3), pages 1948-1968, March.
    4. Jean-Paul Watson & David Woodruff, 2011. "Progressive hedging innovations for a class of stochastic mixed-integer resource allocation problems," Computational Management Science, Springer, vol. 8(4), pages 355-370, November.
    5. Pilla, Venkata L. & Rosenberger, Jay M. & Chen, Victoria & Engsuwan, Narakorn & Siddappa, Sheela, 2012. "A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model," European Journal of Operational Research, Elsevier, vol. 216(1), pages 162-171.

  52. Porras Musalem, E. & Dekker, R., 2002. "Controlling inventories in a supply chain: a case study," Econometric Institute Research Papers EI 2002-53, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jong Soo Kim & Eunhee Jeon & Jiseong Noh & Jun Hyeong Park, 2018. "A Model and an Algorithm for a Large-Scale Sustainable Supplier Selection and Order Allocation Problem," Mathematics, MDPI, vol. 6(12), pages 1-19, December.
    2. Chan, Chi Kin & Yuk-on Li, Leon & To Ng, Chi & Kin-sion Cheung, Bernard & Langevin, Andre, 2006. "Scheduling of multi-buyer joint replenishments," International Journal of Production Economics, Elsevier, vol. 102(1), pages 132-142, July.
    3. Okhrin, Irena & Richter, Knut, 2011. "The linear dynamic lot size problem with minimum order quantity," International Journal of Production Economics, Elsevier, vol. 133(2), pages 688-693, October.
    4. Muriel, Ana & Chugh, Tammana & Prokle, Michael, 2022. "Efficient algorithms for the joint replenishment problem with minimum order quantities," European Journal of Operational Research, Elsevier, vol. 300(1), pages 137-150.
    5. Porras Musalem, E. & Dekker, R., 2002. "Controlling inventories in a supply chain: a case study," Econometric Institute Research Papers EI 2002-53, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Okhrin, Irena & Richter, Knut, 2010. "An O(Tˆ3) algorithm for the capacitated lot sizing problem with minimum order quantities," Discussion Papers 284, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    7. Porras Musalem, E. & Dekker, R., 2003. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," Econometric Institute Research Papers EI 2003-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Ji Seong Noh & Jong Soo Kim & Biswajit Sarkar, 2019. "Stochastic joint replenishment problem with quantity discounts and minimum order constraints," Operational Research, Springer, vol. 19(1), pages 151-178, March.
    9. Rayna, Thierry & Striukova, Ludmila, 2021. "Assessing the effect of 3D printing technologies on entrepreneurship: An exploratory study," Technological Forecasting and Social Change, Elsevier, vol. 164(C).
    10. Porras Musalem, E. & Dekker, R., 2005. "Generalized Solutions for the joint replenishment problem with correction factor," Econometric Institute Research Papers EI 2005-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  53. Listes, O.L. & Dekker, R., 2001. "Stochastic approaches for product recovery network design: a case study," Econometric Institute Research Papers EI 2001-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Choudhary, Alok & Sarkar, Sagar & Settur, Srikar & Tiwari, M.K., 2015. "A carbon market sensitive optimization model for integrated forward–reverse logistics," International Journal of Production Economics, Elsevier, vol. 164(C), pages 433-444.
    2. Wang, Ziping & Yao, Dong-Qing & Huang, Peiqing, 2007. "A new location-inventory policy with reverse logistics applied to B2C e-markets of China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 350-363, June.
    3. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Drexl, Andreas & Klose, Andreas, 2001. "Facility location models for distribution system design," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 546, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    5. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
    6. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2007. "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1063-1077, June.
    7. Fleischmann, M., 2001. "Reverse Logistics Network Structures and Design," ERIM Report Series Research in Management ERS-2001-52-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Listes, O.L., 2002. "A decomposition approach to a stochastic model for supply-and-return network design," Econometric Institute Research Papers EI 2002-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.

  54. Kokkinaki, A.I. & Dekker, R. & de Koster, M.B.M. & Pappis, C.P., 2001. "From e-trash to e-treasure: how value can be created by the new e-business models for reverse logistics," Econometric Institute Research Papers EI 2000-32/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. de la Fuente, M. Victoria & Ros, Lorenzo & Cardos, Manuel, 2008. "Integrating Forward and Reverse Supply Chains: Application to a metal-mechanic company," International Journal of Production Economics, Elsevier, vol. 111(2), pages 782-792, February.
    3. Kokkinaki, A.I. & Dekker, R. & Lee, R. & Pappis, C.P., 2001. "Integrating a web-based system with business processes in closed loop supply chains," Econometric Institute Research Papers EI 2001-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Syed Mithun Ali & Asraf Arafin & Md. Abdul Moktadir & Towfique Rahman & Nuzhat Zahan, 2018. "Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 53-68, March.

  55. de Brito, M.P. & Dekker, R., 2001. "Modelling product returns in inventory control - exploring the validity or general assumptions," Econometric Institute Research Papers EI 2001-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    2. Grzegorz, Chodak, 2016. "The Nuisance of Slow Moving Products in Electronic Commerce," MPRA Paper 69817, University Library of Munich, Germany.
    3. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Carrasco-Gallego, R. & Ponce-Cueto, E. & Dekker, R., 2009. "A framework for closed-loop supply chains of reusable articles," Econometric Institute Research Papers EI 2009-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
    6. Barron, Yonit, 2022. "The continuous (S,s,Se) inventory model with dual sourcing and emergency orders," European Journal of Operational Research, Elsevier, vol. 301(1), pages 18-38.
    7. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    8. Grzegorz Chodak, 0. "The problem of shelf-warmers in electronic commerce: a proposed solution," Information Systems and e-Business Management, Springer, vol. 0, pages 1-22.
    9. Gemechu Abdissa & Abebe Ayalew & Anna Dunay & Csaba Bálint Illés, 2022. "Role of Reverse Logistics Activities in the Recycling of Used Plastic Bottled Water Waste Management," Sustainability, MDPI, vol. 14(13), pages 1-20, June.
    10. Kayakutlu, Gulgun & Buyukozkan, Gulcin, 2011. "Assessing performance factors for a 3PL in a value chain," International Journal of Production Economics, Elsevier, vol. 131(2), pages 441-452, June.
    11. Ilkka Ritola & Harold Krikke & Marjolein C.J. Caniëls, 2020. "Learning from Returned Products in a Closed Loop Supply Chain: A Systematic Literature Review," Logistics, MDPI, vol. 4(2), pages 1-13, April.
    12. Goedhart, Joost & Haijema, René & Akkerman, Renzo, 2023. "Modelling the influence of returns for an omni-channel retailer," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1248-1263.
    13. Toktay, B. & van der Laan, E.A. & de Brito, M.P., 2003. "Managing Product Returns: The Role of Forecasting," ERIM Report Series Research in Management ERS-2003-023-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Zerhouni, Hichem & Gayon, Jean-Philippe & Frein, Yannick, 2013. "Influence of dependency between demands and returns in a reverse logistics system," International Journal of Production Economics, Elsevier, vol. 143(1), pages 62-71.
    15. Diana Puspita Sari & Nur Aini Masruroh & Anna Maria Sri Asih, 2021. "Consumer Intention to Participate in E-Waste Collection Programs: A Study of Smartphone Waste in Indonesia," Sustainability, MDPI, vol. 13(5), pages 1-28, March.

  56. Meersmans, P.J.M. & Dekker, R., 2001. "Operations research supports container handling," Econometric Institute Research Papers EI 2001-22, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    2. Briskorn, Dirk & Drexl, Andreas & Hartmann, Sönke, 2005. "Inventory based dispatching of automated guided vehicles on container terminals," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 596, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    3. Katta G. Murty & Yat-wah Wan & Jiyin Liu & Mitchell M. Tseng & Edmond Leung & Kam-Keung Lai & Herman W. C. Chiu, 2005. "Hongkong International Terminals Gains Elastic Capacity Using a Data-Intensive Decision-Support System," Interfaces, INFORMS, vol. 35(1), pages 61-75, February.
    4. Debjit Roy & Akash Gupta & René B.M. De Koster, 2016. "A non-linear traffic flow-based queuing model to estimate container terminal throughput with AGVs," International Journal of Production Research, Taylor & Francis Journals, vol. 54(2), pages 472-493, January.
    5. Hartmann, Sönke, 2002. "Generating scenarios for simulation and optimization of container terminal logistics," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 564, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    6. Zhang, An & Zhang, Wenshuai & Chen, Yong & Chen, Guangting & Chen, Xufeng, 2017. "Approximate the scheduling of quay cranes with non-crossing constraints," European Journal of Operational Research, Elsevier, vol. 258(3), pages 820-828.

  57. Neddermeijer, H.G. & van Oortmarssen, G.J. & Piersma, N. & Dekker, R., 2000. "A framework for response surface methodology for simulation optimization," Econometric Institute Research Papers EI 2000-14/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Kleijnen, J.P.C. & den Hertog, D. & Angun, M.E., 2002. "Response Surface Methodology's Steepest Ascent and Step Size Revisited," Other publications TiSEM 44a5bc64-49e5-47f5-abe7-3, Tilburg University, School of Economics and Management.
    2. Andrei A. Prudius & Sigrún Andradóttir, 2012. "Averaging frameworks for simulation optimization with applications to simulated annealing," Naval Research Logistics (NRL), John Wiley & Sons, vol. 59(6), pages 411-429, September.
    3. Charles-Olivier Amédée-Manesme & Fabrice Barthélémy & Didier Maillard, 2017. "Computation of the Corrected Cornish-Fisher Expansion using the Response Surface Methodology: Application to V aR and CV aR," THEMA Working Papers 2017-21, THEMA (THéorie Economique, Modélisation et Applications), Université de Cergy-Pontoise.
    4. Angun, M.E. & Gürkan, G. & den Hertog, D. & Kleijnen, J.P.C., 2002. "Response surface methodology revisited," Other publications TiSEM 32c35a04-3de9-4dee-a242-6, Tilburg University, School of Economics and Management.
    5. Angun, M.E., 2004. "Black box simulation optimization : Generalized response surface methodology," Other publications TiSEM 2548e953-54ce-44e2-8c5b-7, Tilburg University, School of Economics and Management.
    6. Yiduan Chen & Weinong Fu, 2015. "A Novel Hybrid-Flux Magnetic Gear and Its Performance Analysis Using the 3-D Finite Element Method," Energies, MDPI, vol. 8(5), pages 1-15, April.
    7. D. Huang & T. Allen & W. Notz & N. Zeng, 2006. "Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models," Journal of Global Optimization, Springer, vol. 34(3), pages 441-466, March.
    8. Satyajith Amaran & Nikolaos V. Sahinidis & Bikram Sharda & Scott J. Bury, 2016. "Simulation optimization: a review of algorithms and applications," Annals of Operations Research, Springer, vol. 240(1), pages 351-380, May.

  58. Vlachos, D. & Dekker, R., 2000. "Return handling options and order quantities for single period products," Econometric Institute Research Papers EI 2000-29/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Wakana Kato & Ikuo Arizono & Yasuhiko Takemoto, 2018. "A proposal of bargaining solution for cooperative contract in a supply chain," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 559-567, March.
    2. Yang, Hui & Chen, Jing & Chen, Xu & Chen, Bintong, 2017. "The impact of customer returns in a supply chain with a common retailer," European Journal of Operational Research, Elsevier, vol. 256(1), pages 139-150.
    3. Dan Wu & Xinxin Lu, 2023. "Optimal Return Policy of Competitive Retailers’ Pre-Sale Products Based on Strategic Consumer Behavior," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    4. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    5. Hu, Wei & Li, Yongjian & Govindan, Kannan, 2014. "The impact of consumer returns policies on consignment contracts with inventory control," European Journal of Operational Research, Elsevier, vol. 233(2), pages 398-407.
    6. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    7. Kilic, Onur A. & Tunc, Huseyin & Tarim, S. Armagan, 2018. "Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1102-1109.
    8. Mostard, Julien & Teunter, Ruud, 2006. "The newsboy problem with resalable returns: A single period model and case study," European Journal of Operational Research, Elsevier, vol. 169(1), pages 81-96, February.
    9. Jing Chen & Bintong Chen, 2016. "Competing with customer returns policies," International Journal of Production Research, Taylor & Francis Journals, vol. 54(7), pages 2093-2107, April.
    10. Chen, Jing, 2011. "The impact of sharing customer returns information in a supply chain with and without a buyback policy," European Journal of Operational Research, Elsevier, vol. 213(3), pages 478-488, September.
    11. Li, Dan & Chen, Jing & Liao, Yi, 2021. "Optimal decisions on prices, order quantities, and returns policies in a supply chain with two-period selling," European Journal of Operational Research, Elsevier, vol. 290(3), pages 1063-1082.
    12. Ülkü, M. Ali & Gürler, Ülkü, 2018. "The impact of abusing return policies: A newsvendor model with opportunistic consumers," International Journal of Production Economics, Elsevier, vol. 203(C), pages 124-133.
    13. Radhi, Mohannad & Zhang, Guoqing, 2019. "Optimal cross-channel return policy in dual-channel retailing systems," International Journal of Production Economics, Elsevier, vol. 210(C), pages 184-198.
    14. Ketzenberg, M.E. & van der Laan, E.A. & Teunter, R.H., 2004. "The Value of Information in Reverse Logistics," ERIM Report Series Research in Management ERS-2004-053-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    15. Chen, Jing & Grewal, Ravneet, 2013. "Competing in a supply chain via full-refund and no-refund customer returns policies," International Journal of Production Economics, Elsevier, vol. 146(1), pages 246-258.
    16. Tang, Ou & Grubbstrom, Robert W. & Zanoni, Simone, 2007. "Planned lead time determination in a make-to-order remanufacturing system," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 426-435, July.
    17. Jia Wang & Xijia Huang, 2018. "The Optimal Carbon Reduction and Return Strategies under Carbon Tax Policy," Sustainability, MDPI, vol. 10(7), pages 1-14, July.
    18. Liu, Zhuojun & Chen, Jing & Diallo, Claver & Venkatadri, Uday, 2021. "Pricing and production decisions in a dual-channel closed-loop supply chain with (re)manufacturing," International Journal of Production Economics, Elsevier, vol. 232(C).
    19. Wenting Pan & Candice H. Huynh, 2023. "Optimal operational strategies for online retailers with demand and return uncertainty," Operations Management Research, Springer, vol. 16(2), pages 755-767, June.
    20. Yang, Lu & Li, Xiangyong & Xia, Ye & Aneja, Y.P., 2023. "Returns operations in omnichannel retailing with buy-online-and-return-to-store," Omega, Elsevier, vol. 119(C).
    21. Ruiz-Benitez, Rocio & Muriel, Ana, 2014. "Consumer returns in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 573-592.
    22. Mostard, J. & Teunter, R.H. & de Koster, M.B.M., 2003. "The distribution-free newsboy problem with resalable returns," ERIM Report Series Research in Management ERS-2003-068-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    23. Weiwei Zhang & Zhongfei Li & Ke Fu & Fan Wang, 2017. "Effect of the Return Policy in a Continuous-Time Newsvendor Problem," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 34(06), pages 1-28, December.
    24. Agatz, N.A.H. & Fleischmann, M. & van Nunen, J.A.E.E., 2006. "E-Fulfillment and Multi-Channel Distribution – A Review," ERIM Report Series Research in Management ERS-2006-042-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    25. Wang, Chong & Chen, Jing & Chen, Xu, 2019. "The impact of customer returns and bidirectional option contract on refund price and order decisions," European Journal of Operational Research, Elsevier, vol. 274(1), pages 267-279.
    26. Mostard, Julien & de Koster, Rene & Teunter, Ruud, 2005. "The distribution-free newsboy problem with resalable returns," International Journal of Production Economics, Elsevier, vol. 97(3), pages 329-342, September.
    27. Zhang, Qiao & Chen, Jing & Chen, Bintong, 2021. "Information strategy in a supply chain under asymmetric customer returns information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    28. Hung, Yick-Hin & Li, Leon Y.O. & Cheng, T.C.E., 2011. "Trading reserved capacity independently among supply chains," International Journal of Production Economics, Elsevier, vol. 133(1), pages 105-112, September.
    29. Jing Chen & Peter Bell, 2013. "The impact of customer returns on supply chain decisions under various channel interactions," Annals of Operations Research, Springer, vol. 206(1), pages 59-74, July.
    30. G P Kiesmüller & S Minner, 2003. "Simple expressions for finding recovery system inventory control parameter values," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(1), pages 83-88, January.
    31. Xu, Senyu & Tang, Huajun & Lin, Zhijun & Lu, Jing, 2022. "Pricing and sales-effort analysis of dual-channel supply chain with channel preference, cross-channel return and free riding behavior based on revenue-sharing contract," International Journal of Production Economics, Elsevier, vol. 249(C).
    32. Chen, Jing & Bell, Peter C., 2011. "Coordinating a decentralized supply chain with customer returns and price-dependent stochastic demand using a buyback policy," European Journal of Operational Research, Elsevier, vol. 212(2), pages 293-300, July.
    33. Ruiz-Benítez, Rocío & Ketzenberg, Michael & van der Laan, Erwin A., 2014. "Managing consumer returns in high clockspeed industries," Omega, Elsevier, vol. 43(C), pages 54-63.
    34. Li, Guo & Li, Lin & Sethi, Suresh P. & Guan, Xu, 2019. "Return strategy and pricing in a dual-channel supply chain," International Journal of Production Economics, Elsevier, vol. 215(C), pages 153-164.
    35. Wang, Chong & Chen, Jing & Chen, Xu, 2017. "Pricing and order decisions with option contracts in the presence of customer returns," International Journal of Production Economics, Elsevier, vol. 193(C), pages 422-436.
    36. Mitra, Subrata, 2018. "Newsvendor problem with clearance pricing," European Journal of Operational Research, Elsevier, vol. 268(1), pages 193-202.
    37. Khouja, Moutaz & Ajjan, Haya & Liu, Xin, 2019. "The effect of return and price adjustment policies on a retailer’s performance," European Journal of Operational Research, Elsevier, vol. 276(2), pages 466-482.
    38. Jason Acimovic & Stephen C. Graves, 2017. "Mitigating Spillover in Online Retailing via Replenishment," Manufacturing & Service Operations Management, INFORMS, vol. 19(3), pages 419-436, July.
    39. Chen, Jing & Bell, Peter C., 2012. "Implementing market segmentation using full-refund and no-refund customer returns policies in a dual-channel supply chain structure," International Journal of Production Economics, Elsevier, vol. 136(1), pages 56-66.
    40. Chen, Bintong & Chen, Jing, 2017. "When to introduce an online channel, and offer money back guarantees and personalized pricing?," European Journal of Operational Research, Elsevier, vol. 257(2), pages 614-624.

  59. Neddermeijer, H.G. & van Oortmarssen, G.J. & Piersma, N. & Dekker, R. & Habbema, J.D.F., 2000. "Adaptive extensions of the Nelder and Mead Simplex Method for optimization of stochastic simulation models," Econometric Institute Research Papers EI 2000-22/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Tan, S.Y.G.L. & van Oortmarssen, G.J. & Piersma, N., 2000. "Estimting parameters of a microsimulation model for breast cancer screening using the score function method," Econometric Institute Research Papers EI 2000-35/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Alex van der Steen & Joost van Rosmalen & Sonja Kroep & Frank van Hees & Ewout W. Steyerberg & Harry J. de Koning & Marjolein van Ballegooijen & Iris Lansdorp-Vogelaar, 2016. "Calibrating Parameters for Microsimulation Disease Models," Medical Decision Making, , vol. 36(5), pages 652-665, July.

  60. Aronis, K-P. & Magou, I. & Dekker, R. & Tagaras, G., 1999. "Inventory control of spare parts using a Bayesian approach: a case study," Econometric Institute Research Papers EI 9950-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Nenes, George & Panagiotidou, Sofia & Tagaras, George, 2010. "Inventory management of multiple items with irregular demand: A case study," European Journal of Operational Research, Elsevier, vol. 205(2), pages 313-324, September.
    2. Koen W. de Bock & Kristof Coussement & Arno De Caigny & Roman Slowiński & Bart Baesens & Robert N Boute & Tsan-Ming Choi & Dursun Delen & Mathias Kraus & Stefan Lessmann & Sebastián Maldonado & David , 2023. "Explainable AI for Operational Research: A Defining Framework, Methods, Applications, and a Research Agenda," Post-Print hal-04219546, HAL.
    3. S Taskin & E J Lodree,, 2011. "A Bayesian decision model with hurricane forecast updates for emergency supplies inventory management," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1098-1108, June.
    4. D Louit & R Pascual & D Banjevic & A K S Jardine, 2011. "Optimization models for critical spare parts inventories—a reliability approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 992-1004, June.
    5. Qianru Ge & Willem van Jaarsveld & Zümbül Atan, 2020. "Optimal redesign decisions through failure rate estimates," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(4), pages 254-271, June.
    6. Mauricio Varas & Franco Basso & Armin Lüer-Villagra & Alejandro Mac Cawley & Sergio Maturana, 2019. "Managing premium wines using an $$(s - 1,s)$$ ( s - 1 , s ) inventory policy: a heuristic solution approach," Annals of Operations Research, Springer, vol. 280(1), pages 351-376, September.
    7. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    8. Seongmin Moon & Ui Jun Kim, 2017. "The Development of a Concurrent Spare-Parts Optimization Model for Weapon Systems in the South Korean Military Forces," Interfaces, INFORMS, vol. 47(2), pages 122-136, April.
    9. Dekker, R. & Pinçe, C. & Zuidwijk, R.A. & Jalil, M.N., 2010. "On the use of installed base information for spare parts logistics: a revieuw of ideas and industry practice," Econometric Institute Research Papers EI 2010-73, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Ye, Yuan & Lu, Yonggang & Robinson, Powell & Narayanan, Arunachalam, 2022. "An empirical Bayes approach to incorporating demand intermittency and irregularity into inventory control," European Journal of Operational Research, Elsevier, vol. 303(1), pages 255-272.
    11. Babai, M.Z. & Chen, H. & Syntetos, A.A. & Lengu, D., 2021. "A compound-Poisson Bayesian approach for spare parts inventory forecasting," International Journal of Production Economics, Elsevier, vol. 232(C).
    12. Selçuk, B., 2013. "An adaptive base stock policy for repairable item inventory control," International Journal of Production Economics, Elsevier, vol. 143(2), pages 304-315.
    13. Dolgui, Alexandre & Pashkevich, Maksim, 2008. "Demand forecasting for multiple slow-moving items with short requests history and unequal demand variance," International Journal of Production Economics, Elsevier, vol. 112(2), pages 885-894, April.

  61. Korporaal, R. & Ridder, A.A.N. & Kloprogge, P. & Dekker, R., 1999. "Capacity planning of prisons in the Netherlands," Econometric Institute Research Papers EI 9909-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Palmer, Geraint I. & Harper, Paul R. & Knight, Vincent A., 2018. "Modelling deadlock in open restricted queueing networks," European Journal of Operational Research, Elsevier, vol. 266(2), pages 609-621.
    2. Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.

  62. Neddermeijer, H.G. & Piersma, N. & van Oortmarssen, G.J. & Habbema, J.D.F. & Dekker, R., 1999. "Comparison of response surface methodology and the Nelder and Mead simplex method for optimization in microsimulation models," Econometric Institute Research Papers EI 9924-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. D. Huang & T. Allen & W. Notz & N. Zeng, 2006. "Global Optimization of Stochastic Black-Box Systems via Sequential Kriging Meta-Models," Journal of Global Optimization, Springer, vol. 34(3), pages 441-466, March.

  63. Kokkinaki, A.I. & Dekker, R. & van Nunen, J.A.E.E. & Pappis, C.P., 1999. "An explanatory study on electronic commerce for reverse logistics," Econometric Institute Research Papers EI 9951-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Radoslav Škapa, 2011. "Reverse logistics in the Czech Republic: Barriers to development," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 59(4), pages 363-370.

  64. Kleijn, M.J. & Dekker, R., 1998. "An overview of inventory systems with several demand classes," Econometric Institute Research Papers EI 9838, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Hasan Arslan & Stephen C. Graves & Thomas A. Roemer, 2007. "A Single-Product Inventory Model for Multiple Demand Classes," Management Science, INFORMS, vol. 53(9), pages 1486-1500, September.
    2. de Brito, M.P. & de Koster, M.B.M., 2003. "Product Return Handling," ERIM Report Series Research in Management ERS-2003-013-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    3. Quante, R. & Meyr, H. & Fleischmann, M., 2009. "Revenue management and demand fulfillment: matching applications, models, and software," Publications of Darmstadt Technical University, Institute for Business Studies (BWL) 36060, Darmstadt Technical University, Department of Business Administration, Economics and Law, Institute for Business Studies (BWL).
    4. Bayram, Armagan & Cesaret, Bahriye, 2021. "Order fulfillment policies for ship-from-store implementation in omni-channel retailing," European Journal of Operational Research, Elsevier, vol. 294(3), pages 987-1002.
    5. Weihua Zhou & Chung‐Yee Lee & David Wu, 2011. "Optimal control of a capacitated inventory system with multiple demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(1), pages 43-58, February.
    6. Tempelmeier, Horst, 2006. "Supply chain inventory optimization with two customer classes in discrete time," European Journal of Operational Research, Elsevier, vol. 174(1), pages 600-621, October.
    7. Agatz, N.A.H. & Fleischmann, M. & van Nunen, J.A.E.E., 2006. "E-Fulfillment and Multi-Channel Distribution – A Review," ERIM Report Series Research in Management ERS-2006-042-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    8. Quante, R. & Fleischmann, M. & Meyr, H., 2009. "A Stochastic Dynamic Programming Approach to Revenue Management in a Make-to-Stock Production System," ERIM Report Series Research in Management ERS-2009-015-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Ayanso, Anteneh & Diaby, Moustapha & Nair, Suresh K., 2006. "Inventory rationing via drop-shipping in Internet retailing: A sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 171(1), pages 135-152, May.
    10. Demeter, Krisztina & Szász, Levente & Kő, Andrea, 2019. "A text mining based overview of inventory research in the ISIR special issues 1994–2016," International Journal of Production Economics, Elsevier, vol. 209(C), pages 134-146.
    11. Zümbül Atan & Lawrence V. Snyder & George R. Wilson, 2018. "Transshipment policies for systems with multiple retailers and two demand classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 159-186, January.

  65. Melchiors, Ph. & Dekker, R. & Kleijn, M.J., 1998. "Inventory rationing in an (s, Q) inventory model with lost sales a two demand classes," Econometric Institute Research Papers EI 9837, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Oguzhan Vicil, 2021. "Optimizing stock levels for service-differentiated demand classes with inventory rationing and demand lead times," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 381-424, June.
    2. Hasan Arslan & Stephen C. Graves & Thomas A. Roemer, 2007. "A Single-Product Inventory Model for Multiple Demand Classes," Management Science, INFORMS, vol. 53(9), pages 1486-1500, September.
    3. R. Dekker & R.M. Hill & M.J. Kleijn & R.H. Teunter, 2002. "On the (S − 1, S) lost sales inventory model with priority demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 593-610, September.
    4. Teunter, Ruud H. & Klein Haneveld, Willem K., 2008. "Dynamic inventory rationing strategies for inventory systems with two demand classes, Poisson demand and backordering," European Journal of Operational Research, Elsevier, vol. 190(1), pages 156-178, October.
    5. Melchiors, Philip, 2003. "Restricted time-remembering policies for the inventory rationing problem," International Journal of Production Economics, Elsevier, vol. 81(1), pages 461-468, January.
    6. Du, Bisheng & Larsen, Christian, 2017. "Reservation policies of advance orders in the presence of multiple demand classes," European Journal of Operational Research, Elsevier, vol. 256(2), pages 430-438.
    7. Stratos Ioannidis & Alexandros S. Xanthopoulos & Ioannis Sarantis & Dimitrios E. Koulouriotis, 2021. "Joint production, inventory rationing, and order admission control of a stochastic manufacturing system with setups," Operational Research, Springer, vol. 21(2), pages 827-855, June.
    8. Cai, Gangshu (George) & Chiang, Wen-Chyuan & Chen, Xiangfeng, 2011. "Game theoretic pricing and ordering decisions with partial lost sales in two-stage supply chains," International Journal of Production Economics, Elsevier, vol. 130(2), pages 175-185, April.
    9. Paul Zipkin, 2008. "Old and New Methods for Lost-Sales Inventory Systems," Operations Research, INFORMS, vol. 56(5), pages 1256-1263, October.
    10. Arslan, Hasan & Graves, Stephen C. & Roemer, Thomas, 2005. "A Single-Product Inventory Model for Multiple Demand Classes," Working papers 4542-05, Massachusetts Institute of Technology (MIT), Sloan School of Management.
    11. Bijvank, Marco & Vis, Iris F.A., 2011. "Lost-sales inventory theory: A review," European Journal of Operational Research, Elsevier, vol. 215(1), pages 1-13, November.
    12. van Jaarsveld, W.L. & Dekker, R., 2009. "Finding optimal policies in the (S - 1, S ) lost sales inventory model with multiple demand classes," Econometric Institute Research Papers EI 2009-14, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    13. Alfieri, Arianna & Pastore, Erica & Zotteri, Giulio, 2017. "Dynamic inventory rationing: How to allocate stock according to managerial priorities. An empirical study," International Journal of Production Economics, Elsevier, vol. 189(C), pages 14-29.
    14. P. Escalona & F. Ordóñez & I. Kauak, 2017. "Critical level rationing in inventory systems with continuously distributed demand," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 273-301, January.
    15. Larsen, Christian, 2006. "Computation of order and volume fill rates for a base stock inventory control system with heterogeneous demand to investigate which customer class gets the best service," CORAL Working Papers L-2006-03, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    16. Tan, Tarkan & Güllü, Refik & Erkip, Nesim, 2009. "Using imperfect advance demand information in ordering and rationing decisions," International Journal of Production Economics, Elsevier, vol. 121(2), pages 665-677, October.
    17. Gabor, Adriana F. & van Ommeren, Jan-Kees & Sleptchenko, Andrei, 2022. "An inventory model with discounts for omnichannel retailers of slow moving items," European Journal of Operational Research, Elsevier, vol. 300(1), pages 58-72.
    18. ElHafsi, Mohsen & Fang, Jianxin & Hamouda, Essia, 2021. "Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models," European Journal of Operational Research, Elsevier, vol. 291(1), pages 147-161.
    19. Oguzhan VICIL, 2022. "Cost optimization in the $$(S-1, S)$$ ( S - 1 , S ) backorder inventory model with two demand classes and rationing," Flexible Services and Manufacturing Journal, Springer, vol. 34(1), pages 101-124, March.
    20. Samii, Amir-Behzad & Pibernik, Richard & Yadav, Prashant & Vereecke, Ann, 2012. "Reservation and allocation policies for influenza vaccines," European Journal of Operational Research, Elsevier, vol. 222(3), pages 495-507.
    21. Hung, Yi-Feng & Hsiao, Jui-Yi, 2013. "Inventory rationing decision models during replenishment lead time," International Journal of Production Economics, Elsevier, vol. 144(1), pages 290-300.
    22. Karin T. Möllering & Ulrich W. Thonemann, 2008. "An optimal critical level policy for inventory systems with two demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(7), pages 632-642, October.
    23. Quan-Lin Li & Yi-Meng Li & Jing-Yu Ma & Heng-Li Liu, 2023. "A complete algebraic solution to the optimal dynamic rationing policy in the stock-rationing queue with two demand classes," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-54, April.
    24. Weihua Zhou & Chung‐Yee Lee & David Wu, 2011. "Optimal control of a capacitated inventory system with multiple demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 58(1), pages 43-58, February.
    25. FadIloglu, Mehmet Murat & Bulut, Önder, 2010. "A dynamic rationing policy for continuous-review inventory systems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 675-685, May.
    26. Wang, Daqin & Tang, Ou & Zhang, Lihua, 2015. "A note on the rationing policies of multiple demand classes with lost sales," International Journal of Production Economics, Elsevier, vol. 165(C), pages 145-154.
    27. Liu, Shudong & Song, Miao & Tan, Kok Choon & Zhang, Changyong, 2015. "Multi-class dynamic inventory rationing with stochastic demands and backordering," European Journal of Operational Research, Elsevier, vol. 244(1), pages 153-163.
    28. Chang, Pao-Long & Chou, Ying-Chyi & Huang, Ming-Guang, 2005. "A (r,r,Q) inventory model for spare parts involving equipment criticality," International Journal of Production Economics, Elsevier, vol. 97(1), pages 66-74, July.
    29. Cobb, Barry R. & Johnson, Alan W. & Rumí, Rafael & Salmerón, Antonio, 2015. "Accurate lead time demand modeling and optimal inventory policies in continuous review systems," International Journal of Production Economics, Elsevier, vol. 163(C), pages 124-136.
    30. Liu, Mingwu & Feng, Mengying & Wong, Chee Yew, 2014. "Flexible service policies for a Markov inventory system with two demand classes," International Journal of Production Economics, Elsevier, vol. 151(C), pages 180-185.
    31. Ayanso, Anteneh & Diaby, Moustapha & Nair, Suresh K., 2006. "Inventory rationing via drop-shipping in Internet retailing: A sensitivity analysis," European Journal of Operational Research, Elsevier, vol. 171(1), pages 135-152, May.
    32. Samii, Amir-Behzad, 2016. "Impact of nested inventory allocation policies in a newsvendor setting," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 247-256.
    33. Kleijn, M.J. & Dekker, R., 1998. "An overview of inventory systems with several demand classes," Econometric Institute Research Papers EI 9838, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    34. Umay Uzunoglu Kocer & Bahar Yalcin, 2020. "Continuous review (s, Q) inventory system with random lifetime and two demand classes," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 104-118, March.
    35. Zümbül Atan & Lawrence V. Snyder & George R. Wilson, 2018. "Transshipment policies for systems with multiple retailers and two demand classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 159-186, January.

  66. Dekker, R. & Frenk, J.B.G. & Kleijn, M.J. & de Kok, A.G., 1997. "On the newsboy model with a cutoff transaction size," Econometric Institute Research Papers EI 9736/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Chin-Tsai Lin & Hui-Yin Tsai, 2004. "A Note on the Newsboy Model with a Cutoff Transaction Size and Gauss Holding and Penalty Cost Functions," Quality & Quantity: International Journal of Methodology, Springer, vol. 38(2), pages 173-184, April.
    2. Kleijn, M.J. & Dekker, R., 1997. "Using break quantities for tactical optimisation in multistage distribution systems," Econometric Institute Research Papers EI 9737/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  67. R. Dekker & R.M. Hill & M.J. Kleijn, 1997. "On the (S-1, S) Lost Sales Inventory Model with Priority Demand Classes," Tinbergen Institute Discussion Papers 97-114/4, Tinbergen Institute.

    Cited by:

    1. Oguzhan Vicil, 2021. "Optimizing stock levels for service-differentiated demand classes with inventory rationing and demand lead times," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 381-424, June.
    2. Melchiors, Philip, 2003. "Restricted time-remembering policies for the inventory rationing problem," International Journal of Production Economics, Elsevier, vol. 81(1), pages 461-468, January.
    3. P Melchiors & R Dekker & M J Kleijn, 2000. "Inventory rationing in an (s, Q) inventory model with lost sales and two demand classes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 111-122, January.
    4. K. Sapna Isotupa, 2015. "Cost analysis of an (S−1,S) inventory system with two demand classes and rationing," Annals of Operations Research, Springer, vol. 233(1), pages 411-421, October.
    5. Mohammad Najjartabar Bisheh & G. Reza Nasiri & Esmaeil Esmaeili & Hamid Davoudpour & Shing I. Chang, 2022. "A new supply chain distribution network design for two classes of customers using transfer recurrent neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2604-2618, October.
    6. Agassi Melikov & Ramil Mirzayev & Janos Sztrik, 2023. "Double-Sources Queuing-Inventory Systems with Finite Waiting Room and Destructible Stocks," Mathematics, MDPI, vol. 11(1), pages 1-16, January.
    7. Kleijn, M.J. & Dekker, R., 1998. "An overview of inventory systems with several demand classes," Econometric Institute Research Papers EI 9838, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    8. Axsater, Sven & Olsson, Fredrik & Tydesjo, Patrik, 2007. "Heuristics for handling direct upstream demand in two-echelon distribution inventory systems," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 266-270, July.
    9. Basten, Rob J.I. & Ryan, Jennifer K., 2019. "The value of maintenance delay flexibility for improved spare parts inventory management," European Journal of Operational Research, Elsevier, vol. 278(2), pages 646-657.

  68. Kleijn, M.J. & Dekker, R., 1997. "Using break quantities for tactical optimisation in multistage distribution systems," Econometric Institute Research Papers EI 9737/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Dekker, R. & Frenk, J.B.G. & Kleijn, M.J. & de Kok, A.G., 1997. "On the newsboy model with a cutoff transaction size," Econometric Institute Research Papers EI 9736/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Krever, Maarten & Wunderink, Sophia & Dekker, Rommert & Schorr, Benno, 2005. "Inventory control based on advanced probability theory, an application," European Journal of Operational Research, Elsevier, vol. 162(2), pages 342-358, April.

  69. Rommert Dekker & Raymond Ph. Plasmeijer & Jan H. Swart, 1997. "Evaluation of a New Maintenance Concept for the Preservation of Highways," Tinbergen Institute Discussion Papers 97-129/4, Tinbergen Institute.

    Cited by:

    1. Ricardo Gonçalves & António Gomes, 2007. "Maintenance incentives in highway concession contracts," Working Papers de Economia (Economics Working Papers) 04, Católica Porto Business School, Universidade Católica Portuguesa.

  70. Frenk, J.B.G. & Kleijn, M.J. & Dekker, R., 1997. "An efficient algorithm for a generalized joint replenishment problem," Econometric Institute Research Papers EI 9701-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. J.B.G. Frenk & M.J. Kleijn & R. Dekker, 1997. "An Efficient Algorithm for a Generalized Joint Replenishment Problem," Tinbergen Institute Discussion Papers 97-026/4, Tinbergen Institute.
    2. Bayindir, Z.P. & Birbil, S.I. & Frenk, J.B.G., 2007. "A deterministic inventory/production model with general inventory cost rate function and piecewise linear concave production costs," European Journal of Operational Research, Elsevier, vol. 179(1), pages 114-123, May.
    3. Bayindir, Z.P. & Birbil, S.I. & Frenk, J.B.G., 2006. "The joint replenishment problem with variable production costs," European Journal of Operational Research, Elsevier, vol. 175(1), pages 622-640, November.
    4. Birbil, S.I. & Frenk, J.B.G. & Bayindir, Z.P., 2004. "A Deterministic Inventory/Production Model with General Inventory Cost Rate Function and Concave Production Costs," Econometric Institute Research Papers ERS-2004-064-LIS, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Rempala, Ryszarda, 2003. "Joint replenishment multiproduct inventory problem with continuous production and discrete demands," International Journal of Production Economics, Elsevier, vol. 81(1), pages 495-511, January.
    6. Birbil, S.I. & Frenk, J.B.G. & Bayindir, Z.P., 2004. "A Deterministic Inventory/Production Model with General Inventory Cost Rate Function and Concave Production Costs," ERIM Report Series Research in Management ERS-2004-064-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  71. Rommert Dekker & J. Robert van der Meer & Raymond Ph. Plasmeijer & Ralph E. Wildeman & Jacco J. de Bruin, 1996. "Maintenance of Light Standards, a Case-Study," Tinbergen Institute Discussion Papers 96-166/9, Tinbergen Institute.

    Cited by:

    1. Bernd Heidergott & Taoying Farenhorst-Yuan, 2010. "Gradient Estimation for Multicomponent Maintenance Systems with Age-Replacement Policy," Operations Research, INFORMS, vol. 58(3), pages 706-718, June.

  72. Frenk, J.B.G. & Dekker, R. & Kleijn, M.J., 1996. "A unified treatment of single component replacement models," Econometric Institute Research Papers EI 9602-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Frenk, J.B.G. & Dekker, R. & Kleijn, M.J., 1996. "A unified treatment of single component replacement models," Econometric Institute Research Papers EI 9602-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. J. B. G. Frenk & R. Dekker & M. J. Kleijn, 1997. "On the Marginal Cost Approach in Maintenance," Journal of Optimization Theory and Applications, Springer, vol. 94(3), pages 771-781, September.
    3. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.

  73. Dekker, R. & Kleijn, M.J. & de Rooij, P.J., 1996. "A spare parts stocking policy based on equipment criticality," Econometric Institute Research Papers EI 9625-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. R. Sundarraj, 2006. "A model for standardizing human decisions concerning service-contracts management," Annals of Operations Research, Springer, vol. 143(1), pages 171-189, March.
    2. Oguzhan Vicil, 2021. "Optimizing stock levels for service-differentiated demand classes with inventory rationing and demand lead times," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 381-424, June.
    3. Gabor, Adriana F. & van Vianen, Lars A. & Yang, Guangyuan & Axsäter, Sven, 2018. "A base-stock inventory model with service differentiation and response time guarantees," European Journal of Operational Research, Elsevier, vol. 269(3), pages 900-908.
    4. Hasan Arslan & Stephen C. Graves & Thomas A. Roemer, 2007. "A Single-Product Inventory Model for Multiple Demand Classes," Management Science, INFORMS, vol. 53(9), pages 1486-1500, September.
    5. R. Dekker & R.M. Hill & M.J. Kleijn & R.H. Teunter, 2002. "On the (S − 1, S) lost sales inventory model with priority demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 593-610, September.
    6. Teunter, Ruud H. & Klein Haneveld, Willem K., 2008. "Dynamic inventory rationing strategies for inventory systems with two demand classes, Poisson demand and backordering," European Journal of Operational Research, Elsevier, vol. 190(1), pages 156-178, October.
    7. S Taghipour & D Banjevic & A K S Jardine, 2011. "Prioritization of medical equipment for maintenance decisions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(9), pages 1666-1687, September.
    8. Du, Bisheng & Larsen, Christian, 2017. "Reservation policies of advance orders in the presence of multiple demand classes," European Journal of Operational Research, Elsevier, vol. 256(2), pages 430-438.
    9. Godoy, David R. & Pascual, Rodrigo & Knights, Peter, 2014. "A decision-making framework to integrate maintenance contract conditions with critical spares management," Reliability Engineering and System Safety, Elsevier, vol. 131(C), pages 102-108.
    10. Mario Guajardo & Mikael Rönnqvist & Ann Mari Halvorsen & Svein Inge Kallevik, 2015. "Inventory management of spare parts in an energy company," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 66(2), pages 331-341, February.
    11. Secil Savasaneril & Ece Sayin, 2017. "Dynamic lead time quotation under responsive inventory and multiple customer classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 95-135, January.
    12. Wang, Yi & Zhang, Sheng Hao, 2021. "Optimal production and inventory rationing policies with selective-information sharing and two demand classes," European Journal of Operational Research, Elsevier, vol. 288(2), pages 394-407.
    13. Gabor, A.F. & Guang, Y. & Axsäter, S., 2014. "Comparison of two methods for customer differentiation," ERIM Report Series Research in Management ERS-2014-003-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    14. Alfieri, Arianna & Pastore, Erica & Zotteri, Giulio, 2017. "Dynamic inventory rationing: How to allocate stock according to managerial priorities. An empirical study," International Journal of Production Economics, Elsevier, vol. 189(C), pages 14-29.
    15. P. Escalona & F. Ordóñez & I. Kauak, 2017. "Critical level rationing in inventory systems with continuously distributed demand," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 39(1), pages 273-301, January.
    16. Mohammad Najjartabar Bisheh & G. Reza Nasiri & Esmaeil Esmaeili & Hamid Davoudpour & Shing I. Chang, 2022. "A new supply chain distribution network design for two classes of customers using transfer recurrent neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2604-2618, October.
    17. ElHafsi, Mohsen & Fang, Jianxin & Hamouda, Essia, 2021. "Optimal production and inventory control of multi-class mixed backorder and lost sales demand class models," European Journal of Operational Research, Elsevier, vol. 291(1), pages 147-161.
    18. Pourakbar, M. & Dekker, R., 2011. "Customer Differentiated End-of-Life Inventory Problem," Econometric Institute Research Papers EI 2011-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    19. Oguzhan VICIL, 2022. "Cost optimization in the $$(S-1, S)$$ ( S - 1 , S ) backorder inventory model with two demand classes and rationing," Flexible Services and Manufacturing Journal, Springer, vol. 34(1), pages 101-124, March.
    20. Karin T. Möllering & Ulrich W. Thonemann, 2008. "An optimal critical level policy for inventory systems with two demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 55(7), pages 632-642, October.
    21. Quan-Lin Li & Yi-Meng Li & Jing-Yu Ma & Heng-Li Liu, 2023. "A complete algebraic solution to the optimal dynamic rationing policy in the stock-rationing queue with two demand classes," Journal of Combinatorial Optimization, Springer, vol. 45(3), pages 1-54, April.
    22. FadIloglu, Mehmet Murat & Bulut, Önder, 2010. "A dynamic rationing policy for continuous-review inventory systems," European Journal of Operational Research, Elsevier, vol. 202(3), pages 675-685, May.
    23. Tempelmeier, Horst, 2006. "Supply chain inventory optimization with two customer classes in discrete time," European Journal of Operational Research, Elsevier, vol. 174(1), pages 600-621, October.
    24. Christopher A. Boone & Benjamin T. Hazen & Joseph B. Skipper & Robert E. Overstreet, 2018. "A framework for investigating optimization of service parts performance with big data," Annals of Operations Research, Springer, vol. 270(1), pages 65-74, November.
    25. Liu, Shudong & Song, Miao & Tan, Kok Choon & Zhang, Changyong, 2015. "Multi-class dynamic inventory rationing with stochastic demands and backordering," European Journal of Operational Research, Elsevier, vol. 244(1), pages 153-163.
    26. Chang, Pao-Long & Chou, Ying-Chyi & Huang, Ming-Guang, 2005. "A (r,r,Q) inventory model for spare parts involving equipment criticality," International Journal of Production Economics, Elsevier, vol. 97(1), pages 66-74, July.
    27. Molenaers, An & Baets, Herman & Pintelon, Liliane & Waeyenbergh, Geert, 2012. "Criticality classification of spare parts: A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 570-578.
    28. Kleijn, M.J. & Dekker, R., 1998. "An overview of inventory systems with several demand classes," Econometric Institute Research Papers EI 9838, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Gabor, A.F. & van Vianen, L.A. & Yang, G. & Axsäter, S., 2016. "Enabling customer satisfaction and stock reduction through service differentiation with response time guarantees," Econometric Institute Research Papers EI2016-13, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  74. Dekker, R. & Dorenbos, R., 1996. "Flexibel werk aan de onderkant van de arbeidsmarkt," WORC Paper 96.07.011, Tilburg University, Work and Organization Research Centre.

    Cited by:

    1. Wielers, Rudi & Meer, Peter van der, 2002. "Lower educated workers and part-time work : the Netherlands, 1973-1991," Research Report 02A26, University of Groningen, Research Institute SOM (Systems, Organisations and Management).

  75. Dekker, R. & van der Duyn Schouten, F.A. & Wildeman, R.E., 1996. "A Review of Multi-Component Maintenance Models with Economic Dependence," Econometric Institute Research Papers EI 9605-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jiawen Hu & Zuhua Jiang & Haitao Liao, 2017. "Preventive maintenance of a batch production system under time-varying operational condition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5681-5705, October.
    2. Philip A. Scarf & Mohammed Deara, 2003. "Block replacement policies for a two‐component system with failure dependence," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(1), pages 70-87, February.
    3. Nourelfath, Mustapha & Châtelet, Eric, 2012. "Integrating production, inventory and maintenance planning for a parallel system with dependent components," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 59-66.
    4. Taghipour, Sharareh & Banjevic, Dragan, 2012. "Optimal inspection of a complex system subject to periodic and opportunistic inspections and preventive replacements," European Journal of Operational Research, Elsevier, vol. 220(3), pages 649-660.
    5. Liu, Gia-Shie, 2011. "Dynamic group instantaneous replacement policies for unreliable Markovian service systems," International Journal of Production Economics, Elsevier, vol. 130(2), pages 203-217, April.
    6. de Jonge, Bram & Klingenberg, Warse & Teunter, Ruud & Tinga, Tiedo, 2016. "Reducing costs by clustering maintenance activities for multiple critical units," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 93-103.
    7. Thomas Sloan, 2007. "Safety-cost trade-offs in medical device reuse: a Markov decision process model," Health Care Management Science, Springer, vol. 10(1), pages 81-93, February.
    8. Niu, Gang & Jiang, Junjie, 2017. "Prognostic control-enhanced maintenance optimization for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 218-226.
    9. Max Blouin, 2002. "On the Pricing of Replacement Parts," Cahiers de recherche CREFE / CREFE Working Papers 147, CREFE, Université du Québec à Montréal.
    10. Liu, Gehui & Chen, Shaokuan & Jin, Hua & Liu, Shuang, 2021. "Optimum opportunistic maintenance schedule incorporating delay time theory with imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    11. Izquierdo, J. & Márquez, A. Crespo & Uribetxebarria, J. & Erguido, A., 2020. "On the importance of assessing the operational context impact on maintenance management for life cycle cost of wind energy projects," Renewable Energy, Elsevier, vol. 153(C), pages 1100-1110.
    12. Lirong Cui & Haijun Li, 2006. "Opportunistic Maintenance for Multi-component Shock Models," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 63(3), pages 493-511, July.
    13. Dao, Cuong D. & Zuo, Ming J. & Pandey, Mayank, 2014. "Selective maintenance for multi-state series–parallel systems under economic dependence," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 240-249.
    14. Bruns, Peter, 2002. "Optimal maintenance strategies for systems with partial repair options and without assuming bounded costs," European Journal of Operational Research, Elsevier, vol. 139(1), pages 146-165, May.
    15. Bouvard, K. & Artus, S. & Bérenguer, C. & Cocquempot, V., 2011. "Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 601-610.
    16. Hu, Jiawen & Shen, Jingyuan & Shen, Lijuan, 2020. "Opportunistic maintenance for two-component series systems subject to dependent degradation and shock," Reliability Engineering and System Safety, Elsevier, vol. 201(C).
    17. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2016. "Clustering condition-based maintenance for systems with redundancy and economic dependencies," European Journal of Operational Research, Elsevier, vol. 251(2), pages 531-540.
    18. Rommert Dekker & J. Robert van der Meer & Raymond Ph. Plasmeijer & Ralph E. Wildeman & Jacco J. de Bruin, 1996. "Maintenance of Light Standards, a Case-Study," Tinbergen Institute Discussion Papers 96-166/9, Tinbergen Institute.
    19. Doostparast, Mohammad & Kolahan, Farhad & Doostparast, Mahdi, 2014. "A reliability-based approach to optimize preventive maintenance scheduling for coherent systems," Reliability Engineering and System Safety, Elsevier, vol. 126(C), pages 98-106.
    20. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2017. "Joint condition-based maintenance and inventory optimization for systems with multiple components," European Journal of Operational Research, Elsevier, vol. 257(1), pages 209-222.
    21. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    22. Seyed Habib A. Rahmati & Abbas Ahmadi & Kannan Govindan, 2018. "A novel integrated condition-based maintenance and stochastic flexible job shop scheduling problem: simulation-based optimization approach," Annals of Operations Research, Springer, vol. 269(1), pages 583-621, October.
    23. Grigoriev, A. & Pierard, G.E. & Storm, G, Chin P, Strijkers GJ., 2004. "Modeling and solving the periodic maintenance problem," Research Memorandum 027, Maastricht University, Maastricht Research School of Economics of Technology and Organization (METEOR).
    24. Rokstad, Marius Møller & Ugarelli, Rita Maria, 2015. "Minimising the total cost of renewal and risk of water infrastructure assets by grouping renewal interventions," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 148-160.
    25. Nguyen, Hung & Abdel-Mottaleb, Noha & Uddin, Shihab & Zhang, Qiong & Lu, Qing & Zhang, He & Li, Mingyang, 2022. "Joint maintenance planning of deteriorating co-located road and water infrastructures with interdependencies," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    26. Ayse Sena Eruguz & Tarkan Tan & Geert‐Jan van Houtum, 2017. "Optimizing usage and maintenance decisions for k‐out‐of‐n systems of moving assets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 418-434, August.
    27. Zhang, Xiaohong & Zeng, Jianchao, 2017. "Joint optimization of condition-based opportunistic maintenance and spare parts provisioning policy in multiunit systems," European Journal of Operational Research, Elsevier, vol. 262(2), pages 479-498.
    28. Retsef Levi & Thomas Magnanti & Yaron Shaposhnik, 2019. "Scheduling with Testing," Management Science, INFORMS, vol. 65(2), pages 776-793, February.
    29. Wang, Jingjing & Qiu, Qingan & Wang, Huanhuan, 2021. "Joint optimization of condition-based and age-based replacement policy and inventory policy for a two-unit series system," Reliability Engineering and System Safety, Elsevier, vol. 205(C).
    30. Pascual, R. & Meruane, V. & Rey, P.A., 2008. "On the effect of downtime costs and budget constraint on preventive and replacement policies," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 144-151.
    31. Sofie Coene & Frits C. R. Spieksma & Gerhard J. Woeginger, 2011. "Charlemagne's Challenge: The Periodic Latency Problem," Operations Research, INFORMS, vol. 59(3), pages 674-683, June.
    32. Zhu, Mixin & Zhou, Xiaojun, 2023. "Hierarchical-clustering-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," International Journal of Production Economics, Elsevier, vol. 264(C).
    33. Jyrki Savolainen & Michele Urbani, 2021. "Maintenance optimization for a multi-unit system with digital twin simulation," Journal of Intelligent Manufacturing, Springer, vol. 32(7), pages 1953-1973, October.
    34. Laggoune, Radouane & Chateauneuf, Alaa & Aissani, Djamil, 2010. "Impact of few failure data on the opportunistic replacement policy for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 108-119.
    35. Scarf, Philip A. & Cavalcante, Cristiano A.V., 2010. "Hybrid block replacement and inspection policies for a multi-component system with heterogeneous component lives," European Journal of Operational Research, Elsevier, vol. 206(2), pages 384-394, October.
    36. Do, Phuc & Assaf, Roy & Scarf, Phil & Iung, Benoit, 2019. "Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 86-97.
    37. Haijun Li & Susan H. Xu, 2004. "On the Coordinated Random Group Replacement Policy in Multivariate Repairable Systems," Operations Research, INFORMS, vol. 52(3), pages 464-477, June.
    38. Sedghi, Mahdieh & Kauppila, Osmo & Bergquist, Bjarne & Vanhatalo, Erik & Kulahci, Murat, 2021. "A taxonomy of railway track maintenance planning and scheduling: A review and research trends," Reliability Engineering and System Safety, Elsevier, vol. 215(C).
    39. Aghezzaf, El-Houssaine & Khatab, Abdelhakim & Tam, Phuoc Le, 2016. "Optimizing production and imperfect preventive maintenance planning׳s integration in failure-prone manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 145(C), pages 190-198.
    40. Van Horenbeek, Adriaan & Pintelon, Liliane, 2013. "A dynamic predictive maintenance policy for complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 39-50.
    41. Waeyenbergh, Geert & Pintelon, Liliane, 2002. "A framework for maintenance concept development," International Journal of Production Economics, Elsevier, vol. 77(3), pages 299-313, June.
    42. Zhang, Wenyu & Zhang, Xiaohong & He, Shuguang & Zhao, Xing & He, Zhen, 2024. "Optimal condition-based maintenance policy for multi-component repairable systems with economic dependence in a finite-horizon," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    43. Juan Izquierdo & Adolfo Crespo Márquez & Jone Uribetxebarria & Asier Erguido, 2019. "Framework for Managing Maintenance of Wind Farms Based on a Clustering Approach and Dynamic Opportunistic Maintenance," Energies, MDPI, vol. 12(11), pages 1-17, May.
    44. J Ansell & T Archibald & J Dagpunar & L Thomas & P Abell & D Duncalf, 2003. "Analysing maintenance data to gain insight into systems performance," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 54(4), pages 343-349, April.
    45. Nguyen, Kim-Anh & Do, Phuc & Grall, Antoine, 2015. "Multi-level predictive maintenance for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 144(C), pages 83-94.
    46. Maaroufi, Ghofrane & Chelbi, Anis & Rezg, Nidhal, 2013. "Optimal selective renewal policy for systems subject to propagated failures with global effect and failure isolation phenomena," Reliability Engineering and System Safety, Elsevier, vol. 114(C), pages 61-70.
    47. Fanping Wei & Jingjing Wang & Xiaobing Ma & Li Yang & Qingan Qiu, 2023. "An Optimal Opportunistic Maintenance Planning Integrating Discrete- and Continuous-State Information," Mathematics, MDPI, vol. 11(15), pages 1-19, July.
    48. Verbert, K. & De Schutter, B. & Babuška, R., 2017. "Timely condition-based maintenance planning for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 159(C), pages 310-321.
    49. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    50. Xia, Tangbin & Xi, Lifeng & Zhou, Xiaojun & Lee, Jay, 2012. "Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology," European Journal of Operational Research, Elsevier, vol. 221(1), pages 231-240.
    51. Nguyen, Ho Si Hung & Do, Phuc & Vu, Hai-Canh & Iung, Benoit, 2019. "Dynamic maintenance grouping and routing for geographically dispersed production systems," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 392-404.
    52. Zhicheng Zhu & Yisha Xiang & Bo Zeng, 2021. "Multicomponent Maintenance Optimization: A Stochastic Programming Approach," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 898-914, July.
    53. Erguido, A. & Crespo Márquez, A. & Castellano, E. & Gómez Fernández, J.F., 2017. "A dynamic opportunistic maintenance model to maximize energy-based availability while reducing the life cycle cost of wind farms," Renewable Energy, Elsevier, vol. 114(PB), pages 843-856.
    54. Das, K. & Lashkari, R.S. & Sengupta, S., 2007. "Machine reliability and preventive maintenance planning for cellular manufacturing systems," European Journal of Operational Research, Elsevier, vol. 183(1), pages 162-180, November.
    55. Hashemi, M. & Asadi, M. & Tavangar, M., 2022. "Optimal maintenance strategies for coherent systems: A warranty dependent approach," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    56. R. Basten & J. Schutten & M. Heijden, 2009. "An efficient model formulation for level of repair analysis," Annals of Operations Research, Springer, vol. 172(1), pages 119-142, November.
    57. V Zille & C Bérenguer & A Grall & A Despujols, 2011. "Modelling multicomponent systems to quantify reliability centred maintenance strategies," Journal of Risk and Reliability, , vol. 225(2), pages 141-160, June.
    58. Waeyenbergh, Geert & Pintelon, Liliane, 2004. "Maintenance concept development: A case study," International Journal of Production Economics, Elsevier, vol. 89(3), pages 395-405, June.
    59. Lu, Biao & Zhou, Xiaojun, 2017. "Opportunistic preventive maintenance scheduling for serial-parallel multistage manufacturing systems with multiple streams of deterioration," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 116-127.
    60. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    61. Giovanni Rinaldi & Philipp R. Thies & Lars Johanning, 2021. "Current Status and Future Trends in the Operation and Maintenance of Offshore Wind Turbines: A Review," Energies, MDPI, vol. 14(9), pages 1-28, April.
    62. Petchrompo, Sanyapong & Parlikad, Ajith Kumar, 2019. "A review of asset management literature on multi-asset systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 181-201.
    63. Liang, Zhenglin & Parlikad, Ajith Kumar & Srinivasan, Rengarajan & Rasmekomen, Nipat, 2017. "On fault propagation in deterioration of multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 162(C), pages 72-80.
    64. Do Van, Phuc & Barros, Anne & Bérenguer, Christophe & Bouvard, Keomany & Brissaud, Florent, 2013. "Dynamic grouping maintenance with time limited opportunities," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 51-59.
    65. Nguyen, Kim-Anh & Do, Phuc & Grall, Antoine, 2017. "Joint predictive maintenance and inventory strategy for multi-component systems using Birnbaum’s structural importance," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 249-261.
    66. Zeng, Zhiguo & Barros, Anne & Coit, David, 2023. "Dependent failure behavior modeling for risk and reliability: A systematic and critical literature review," Reliability Engineering and System Safety, Elsevier, vol. 239(C).
    67. Safaei, Fatemeh & Châtelet, Eric & Ahmadi, Jafar, 2020. "Optimal age replacement policy for parallel and series systems with dependent components," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    68. Olde Keizer, Minou & Teunter, Ruud, 2014. "Opportunistic condition-based maintenance and aperiodic inspections for a two-unit series system," Research Report 14033-OPERA, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    69. Torgny Almgren & Niclas Andréasson & Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski & Magnus Önnheim, 2012. "The opportunistic replacement problem: theoretical analyses and numerical tests," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 76(3), pages 289-319, December.
    70. Tapiero, Charles, 2003. "Risk Management: An Interdisciplinary Framework," ESSEC Working Papers DR 03014, ESSEC Research Center, ESSEC Business School.
    71. Rafic Faddoul & Abdul-Hamid Soubra & Wassim Raphael & Alaa Chateauneuf, 2013. "Extension of dynamic programming models for management optimization from single structure to multi-structures level," Post-Print hal-01006860, HAL.
    72. Zhuoqi Zhang & Su Wu & Binfeng Li & Seungchul Lee, 2015. "(, ) type maintenance policy for multi-component systems with failure interactions," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(6), pages 1051-1064, April.
    73. Rommert Dekker & Raymond Ph. Plasmeijer & Jan H. Swart, 1997. "Evaluation of a New Maintenance Concept for the Preservation of Highways," Tinbergen Institute Discussion Papers 97-129/4, Tinbergen Institute.
    74. Liu, Xinbao & Yang, Tianji & Pei, Jun & Liao, Haitao & Pohl, Edward A., 2019. "Replacement and inventory control for a multi-customer product service system with decreasing replacement costs," European Journal of Operational Research, Elsevier, vol. 273(2), pages 561-574.
    75. Liu, Bin & Pandey, Mahesh D. & Wang, Xiaolin & Zhao, Xiujie, 2021. "A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes," European Journal of Operational Research, Elsevier, vol. 295(2), pages 705-717.
    76. Lisa M. Maillart & Xiang Fang, 2006. "Optimal maintenance policies for serial, multi‐machine systems with non‐instantaneous repairs," Naval Research Logistics (NRL), John Wiley & Sons, vol. 53(8), pages 804-813, December.
    77. Vu, Hai Canh & Do, Phuc & Fouladirad, Mitra & Grall, Antoine, 2020. "Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    78. Mohammad Doostparast & Farhad Kolahan & Mahdi Doostparast, 2015. "Optimisation of PM scheduling for multi-component systems – a simulated annealing approach," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(7), pages 1199-1207, May.
    79. Piero Baraldi & Michele Compare & Enrico Zio & Francesco Cannarile & Zhe Yang, 2023. "The Aramis Data Challenge to prognostics and health management methods for application in evolving environments," Journal of Risk and Reliability, , vol. 237(5), pages 958-965, October.
    80. Olde Keizer, Minou C.A. & Flapper, Simme Douwe P. & Teunter, Ruud H., 2017. "Condition-based maintenance policies for systems with multiple dependent components: A review," European Journal of Operational Research, Elsevier, vol. 261(2), pages 405-420.
    81. Stefanny Ramirez & Dario Bauso, 2021. "Dynamic Coordination Games with Activation Costs," Dynamic Games and Applications, Springer, vol. 11(3), pages 580-596, September.
    82. Zhu, Wenjin & Fouladirad, Mitra & Bérenguer, Christophe, 2016. "A multi-level maintenance policy for a multi-component and multifailure mode system with two independent failure modes," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 50-63.
    83. G Budai & D Huisman & R Dekker, 2006. "Scheduling preventive railway maintenance activities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1035-1044, September.
    84. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    85. Zhang, Xiaohong & Zeng, Jianchao, 2015. "A general modeling method for opportunistic maintenance modeling of multi-unit systems," Reliability Engineering and System Safety, Elsevier, vol. 140(C), pages 176-190.
    86. Urbani, Michele & Brunelli, Matteo & Punkka, Antti, 2023. "An approach for bi-objective maintenance scheduling on a networked system with limited resources," European Journal of Operational Research, Elsevier, vol. 305(1), pages 101-113.
    87. Francesco Corman & Sander Kraijema & Milinko Godjevac & Gabriel Lodewijks, 2017. "Optimizing preventive maintenance policy: A data-driven application for a light rail braking system," Journal of Risk and Reliability, , vol. 231(5), pages 534-545, October.
    88. Seyedhosseini, Seyed Mohammad & Moakedi, Hamid & Shahanaghi, Kamran, 2018. "Imperfect inspection optimization for a two-component system subject to hidden and two-stage revealed failures over a finite time horizon," Reliability Engineering and System Safety, Elsevier, vol. 174(C), pages 141-156.
    89. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part II: a two-stage solution approach," Annals of Operations Research, Springer, vol. 224(1), pages 51-75, January.
    90. Rao P. Naga Srinivasa & Naikan V. N. Achutha, 2006. "An Optimization Methodology for Condition Based Minimal and Major Preventive Maintenance," Stochastics and Quality Control, De Gruyter, vol. 21(1), pages 127-141, January.
    91. Faddoul, R. & Raphael, W. & Chateauneuf, A., 2018. "Maintenance optimization of series systems subject to reliability constraints," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 179-188.
    92. Huynh, K.T. & Vu, H.C. & Nguyen, T.D. & Ho, A.C., 2022. "A predictive maintenance model for k-out-of-n:F continuously deteriorating systems subject to stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 226(C).
    93. Lugtigheid, Diederik & Banjevic, Dragan & Jardine, Andrew K.S., 2008. "System repairs: When to perform and what to do?," Reliability Engineering and System Safety, Elsevier, vol. 93(4), pages 604-615.
    94. Galante, Giacomo & Passannanti, Gianfranco, 2009. "An exact algorithm for preventive maintenance planning of series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1517-1525.
    95. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    96. Tian, Zhigang & Zhang, Han, 2022. "Wind farm predictive maintenance considering component level repairs and economic dependency," Renewable Energy, Elsevier, vol. 192(C), pages 495-506.
    97. Berrade, M.D. & Scarf, P.A. & Cavalcante, C.A.V., 2018. "Conditional inspection and maintenance of a system with two interacting components," European Journal of Operational Research, Elsevier, vol. 268(2), pages 533-544.
    98. Tazi, Nacef & Châtelet, Eric & Bouzidi, Youcef, 2018. "How combined performance and propagation of failure dependencies affect the reliability of a MSS," Reliability Engineering and System Safety, Elsevier, vol. 169(C), pages 531-541.
    99. Petchrompo, Sanyapong & Li, Hao & Erguido, Asier & Riches, Chris & Parlikad, Ajith Kumar, 2020. "A value-based approach to optimizing long-term maintenance plans for a multi-asset k-out-of-N system," Reliability Engineering and System Safety, Elsevier, vol. 200(C).
    100. Li, Heping & Zhu, Wenjin & Dieulle, Laurence & Deloux, Estelle, 2022. "Condition-based maintenance strategies for stochastically dependent systems using Nested Lévy copulas," Reliability Engineering and System Safety, Elsevier, vol. 217(C).
    101. Wang, Ling & Chu, Jian & Mao, Weijie, 2009. "A condition-based replacement and spare provisioning policy for deteriorating systems with uncertain deterioration to failure," European Journal of Operational Research, Elsevier, vol. 194(1), pages 184-205, April.
    102. Briš, Radim & Byczanski, Petr & Goňo, Radomír & Rusek, Stanislav, 2017. "Discrete maintenance optimization of complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 80-89.
    103. Xia, Tangbin & Jin, Xiaoning & Xi, Lifeng & Ni, Jun, 2015. "Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling," European Journal of Operational Research, Elsevier, vol. 240(3), pages 781-790.
    104. Jaturonnatee, J. & Murthy, D.N.P. & Boondiskulchok, R., 2006. "Optimal preventive maintenance of leased equipment with corrective minimal repairs," European Journal of Operational Research, Elsevier, vol. 174(1), pages 201-215, October.
    105. Wang, Yukun & Li, Xiaopeng & Chen, Junyan & Liu, Yiliu, 2022. "A condition-based maintenance policy for multi-component systems subject to stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    106. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, June.
    107. Tangbin Xia & Lifeng Xi, 2019. "Manufacturing paradigm-oriented PHM methodologies for cyber-physical systems," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1659-1672, April.
    108. Zhang, Nan & Fouladirad, Mitra & Barros, Anne, 2017. "Maintenance analysis of a two-component load-sharing system," Reliability Engineering and System Safety, Elsevier, vol. 167(C), pages 67-74.
    109. Soo-Haeng Cho & Kevin F. McCardle, 2009. "The Adoption of Multiple Dependent Technologies," Operations Research, INFORMS, vol. 57(1), pages 157-169, February.
    110. Chu, James C. & Chen, Yin-Jay, 2012. "Optimal threshold-based network-level transportation infrastructure life-cycle management with heterogeneous maintenance actions," Transportation Research Part B: Methodological, Elsevier, vol. 46(9), pages 1123-1143.

  76. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.

  77. Dekker, R. & Frenk, J.B.G. & Wildeman, R.E., 1995. "An Efficient Optimal Solution Method for the Joint Replenishment Problem," Econometric Institute Research Papers EI 9542-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Moon, I.K. & Cha, B.C. & Lee, C.U., 2011. "The joint replenishment and freight consolidation of a warehouse in a supply chain," International Journal of Production Economics, Elsevier, vol. 133(1), pages 344-350, September.
    2. Eric Porras Musalem & Rommert Dekker, 2003. "Controlling Inventories in a Supply Chain," Tinbergen Institute Discussion Papers 03-012/4, Tinbergen Institute.
    3. Liu, Liming & Yuan, Xue-Ming, 2000. "Coordinated replenishments in inventory systems with correlated demands," European Journal of Operational Research, Elsevier, vol. 123(3), pages 490-503, June.
    4. Porras Musalem, E. & Dekker, R., 2004. "On the efficiency of optimal algorithms for the joint replenishment problem: a comparative study," Econometric Institute Research Papers EI 2004-33, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. J.B.G. Frenk & M.J. Kleijn & R. Dekker, 1997. "An Efficient Algorithm for a Generalized Joint Replenishment Problem," Tinbergen Institute Discussion Papers 97-026/4, Tinbergen Institute.
    6. Chan, Chi Kin & Yuk-on Li, Leon & To Ng, Chi & Kin-sion Cheung, Bernard & Langevin, Andre, 2006. "Scheduling of multi-buyer joint replenishments," International Journal of Production Economics, Elsevier, vol. 102(1), pages 132-142, July.
    7. Larsen, Christian, 2007. "The Q(s,S) control policy for the joint replenishment problem extended to the case of correlation among item-demands," CORAL Working Papers L-2007-01, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    8. Jen-Yen Lin & Ming-Jong Yao, 2020. "The joint replenishment problem with trade credits," Journal of Global Optimization, Springer, vol. 76(2), pages 347-382, February.
    9. Tamar Cohen-Hillel & Liron Yedidsion, 2018. "The Periodic Joint Replenishment Problem Is Strongly 𝒩𝒫-Hard," Mathematics of Operations Research, INFORMS, vol. 43(4), pages 1269-1289, November.
    10. Porras, Eric & Dekker, Rommert, 2008. "A solution method for the joint replenishment problem with correction factor," International Journal of Production Economics, Elsevier, vol. 113(2), pages 834-851, June.
    11. Khouja, Moutaz & Goyal, Suresh, 2008. "A review of the joint replenishment problem literature: 1989-2005," European Journal of Operational Research, Elsevier, vol. 186(1), pages 1-16, April.
    12. Bayindir, Z.P. & Birbil, S.I. & Frenk, J.B.G., 2006. "The joint replenishment problem with variable production costs," European Journal of Operational Research, Elsevier, vol. 175(1), pages 622-640, November.
    13. Porras Musalem, E. & Dekker, R., 2002. "Controlling inventories in a supply chain: a case study," Econometric Institute Research Papers EI 2002-53, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Mak, K. L. & Lai, K. K. & Ng, W. C. & Yiu, K. F. C., 2005. "Analysis of optimal opportunistic replenishment policies for inventory systems by using a (s,S) model with a maximum issue quantity restriction," European Journal of Operational Research, Elsevier, vol. 166(2), pages 385-405, October.
    15. Porras Musalem, E. & Dekker, R., 2005. "New Bounds for the Joint Replenishment Problem: Tighter, but not always better," Econometric Institute Research Papers EI 2005-18, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Zhang, Ren-Qian, 2012. "An extension of partial backordering EOQ with correlated demand caused by cross-selling considering multiple minor items," European Journal of Operational Research, Elsevier, vol. 220(3), pages 876-881.
    17. Porras Musalem, E. & Dekker, R., 2003. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," Econometric Institute Research Papers EI 2003-52, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Robinson, Powell & Narayanan, Arunachalam & Sahin, Funda, 2009. "Coordinated deterministic dynamic demand lot-sizing problem: A review of models and algorithms," Omega, Elsevier, vol. 37(1), pages 3-15, February.
    19. Yao, Ming-Jong & Lin, Jen-Yen & Lin, Yu-Liang & Fang, Shu-Cherng, 2020. "An integrated algorithm for solving multi-customer joint replenishment problem with districting consideration," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    20. Dekker, R. & Frenk, J.B.G. & Wildeman, R.E., 1995. "An Efficient Optimal Solution Method for the Joint Replenishment Problem," Econometric Institute Research Papers EI 9542-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. Larsen, Christian & Turkensteen, Marcel, 2014. "A vendor managed inventory model using continuous approximations for route length estimates and Markov chain modeling for cost estimates," International Journal of Production Economics, Elsevier, vol. 157(C), pages 120-132.
    22. A Nilsson & E A Silver, 2008. "A simple improvement on Silver's heuristic for the joint replenishment problem," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(10), pages 1415-1421, October.
    23. Chan, Chi Kin & Cheung, Bernard K. -S. & Langevin, André, 2003. "Solving the multi-buyer joint replenishment problem with a modified genetic algorithm," Transportation Research Part B: Methodological, Elsevier, vol. 37(3), pages 291-299, March.
    24. Ongkunaruk, P. & Wahab, M.I.M. & Chen, Y., 2016. "A genetic algorithm for a joint replenishment problem with resource and shipment constraints and defective items," International Journal of Production Economics, Elsevier, vol. 175(C), pages 142-152.
    25. Larsen, Christian, 2009. "The Q(s,S) control policy for the joint replenishment problem extended to the case of correlation among item-demands," International Journal of Production Economics, Elsevier, vol. 118(1), pages 292-297, March.
    26. Nielsen, Christina & Larsen, Christian, 2005. "An analytical study of the Q(s,S) policy applied to the joint replenishment problem," European Journal of Operational Research, Elsevier, vol. 163(3), pages 721-732, June.
    27. Zhang, Ren-Qian & Yi, Meng & Wang, Qi-Qi & Xiang, Chen, 2018. "Polynomial algorithm of inventory model with complete backordering and correlated demand caused by cross-selling," International Journal of Production Economics, Elsevier, vol. 199(C), pages 193-198.
    28. Porras Musalem, E. & Dekker, R., 2005. "Generalized Solutions for the joint replenishment problem with correction factor," Econometric Institute Research Papers EI 2005-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    29. Hoque, M.A., 2006. "An optimal solution technique for the joint replenishment problem with storage and transport capacities and budget constraints," European Journal of Operational Research, Elsevier, vol. 175(2), pages 1033-1042, December.

  78. Dekker, R. & van Egmond, R. & Frenk, J.B.G. & Wildeman, R.E., 1995. "A General Approach for the Coordination of Maintenance Frequencies," Econometric Institute Research Papers EI 9539-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.

  79. Dekker, R. & Frenk, J.B.G. & Kleijn, M.J. & Piersma, N. & de Kok, T.G., 1995. "On the use of break quantities in multi--echelon distribution systems," Econometric Institute Research Papers EI 9548-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Dekker, R. & Kleijn, M.J. & de Kok, A.G., 1996. "The break quantity rule in a 1-warehouse, N-retailers distribution system," Econometric Institute Research Papers EI 9624-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Dekker, R. & Kleijn, M. J. & de Kok, A. G., 1998. "The break quantity rule's effect on inventory costs in a 1-warehouse, N-retailers distribution system," International Journal of Production Economics, Elsevier, vol. 56(1), pages 61-68, September.
    3. Tempelmeier, Horst, 2006. "Supply chain inventory optimization with two customer classes in discrete time," European Journal of Operational Research, Elsevier, vol. 174(1), pages 600-621, October.

  80. Wildeman, R.E. & Dekker, R. & Smit, A.C.J.M., 1995. "A Dynamic Policy for Grouping Maintenance Activities," Econometric Institute Research Papers EI 9537-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

    Cited by:

    1. Jiawen Hu & Zuhua Jiang & Haitao Liao, 2017. "Preventive maintenance of a batch production system under time-varying operational condition," International Journal of Production Research, Taylor & Francis Journals, vol. 55(19), pages 5681-5705, October.
    2. Liang, Zhenglin & Parlikad, Ajith Kumar, 2020. "Predictive group maintenance for multi-system multi-component networks," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    3. Zhou, Xiaojun & Shi, Kailong, 2019. "Capacity failure rate based opportunistic maintenance modeling for series-parallel multi-station manufacturing systems," Reliability Engineering and System Safety, Elsevier, vol. 181(C), pages 46-53.
    4. Zafar Hameed & Jørn Vatn, 2012. "Role of grouping in the development of an overall maintenance optimization framework for offshore wind turbines," Journal of Risk and Reliability, , vol. 226(6), pages 584-601, December.
    5. Do, Phuc & Bérenguer, Christophe, 2020. "Conditional reliability-based importance measures," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    6. Wu, Tianyi & Yang, Li & Ma, Xiaobing & Zhang, Zihan & Zhao, Yu, 2020. "Dynamic maintenance strategy with iteratively updated group information," Reliability Engineering and System Safety, Elsevier, vol. 197(C).
    7. Liu, Gehui & Chen, Shaokuan & Jin, Hua & Liu, Shuang, 2021. "Optimum opportunistic maintenance schedule incorporating delay time theory with imperfect maintenance," Reliability Engineering and System Safety, Elsevier, vol. 213(C).
    8. Dao, Cuong D. & Zuo, Ming J. & Pandey, Mayank, 2014. "Selective maintenance for multi-state series–parallel systems under economic dependence," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 240-249.
    9. Bouvard, K. & Artus, S. & Bérenguer, C. & Cocquempot, V., 2011. "Condition-based dynamic maintenance operations planning & grouping. Application to commercial heavy vehicles," Reliability Engineering and System Safety, Elsevier, vol. 96(6), pages 601-610.
    10. Zhou, Xiaojun & Lu, Zhiqiang & Xi, Lifeng, 2012. "Preventive maintenance optimization for a multi-component system under changing job shop schedule," Reliability Engineering and System Safety, Elsevier, vol. 101(C), pages 14-20.
    11. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    12. Vu, Hai Canh & Do, Phuc & Barros, Anne & Bérenguer, Christophe, 2014. "Maintenance grouping strategy for multi-component systems with dynamic contexts," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 233-249.
    13. Ayse Sena Eruguz & Tarkan Tan & Geert‐Jan van Houtum, 2017. "Optimizing usage and maintenance decisions for k‐out‐of‐n systems of moving assets," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(5), pages 418-434, August.
    14. Carnero Moya, M. Carmen, 2004. "The control of the setting up of a predictive maintenance programme using a system of indicators," Omega, Elsevier, vol. 32(1), pages 57-75, February.
    15. Pascual, R. & Meruane, V. & Rey, P.A., 2008. "On the effect of downtime costs and budget constraint on preventive and replacement policies," Reliability Engineering and System Safety, Elsevier, vol. 93(1), pages 144-151.
    16. Zhu, Mixin & Zhou, Xiaojun, 2023. "Hierarchical-clustering-based joint optimization of spare part provision and maintenance scheduling for serial-parallel multi-station manufacturing systems," International Journal of Production Economics, Elsevier, vol. 264(C).
    17. Shi, Yue & Zhu, Weihang & Xiang, Yisha & Feng, Qianmei, 2020. "Condition-based maintenance optimization for multi-component systems subject to a system reliability requirement," Reliability Engineering and System Safety, Elsevier, vol. 202(C).
    18. Scarf, Philip A. & Cavalcante, Cristiano A.V., 2010. "Hybrid block replacement and inspection policies for a multi-component system with heterogeneous component lives," European Journal of Operational Research, Elsevier, vol. 206(2), pages 384-394, October.
    19. Zhu, Qiushi & Peng, Hao & Timmermans, Bas & van Houtum, Geert-Jan, 2017. "A condition-based maintenance model for a single component in a system with scheduled and unscheduled downs," International Journal of Production Economics, Elsevier, vol. 193(C), pages 365-380.
    20. Do, Phuc & Assaf, Roy & Scarf, Phil & Iung, Benoit, 2019. "Modelling and application of condition-based maintenance for a two-component system with stochastic and economic dependencies," Reliability Engineering and System Safety, Elsevier, vol. 182(C), pages 86-97.
    21. Do, Phuc & Vu, Hai Canh & Barros, Anne & Bérenguer, Christophe, 2015. "Maintenance grouping for multi-component systems with availability constraints and limited maintenance teams," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 56-67.
    22. Phuc Do & Christophe Bérenguer, 2022. "Residual life-based importance measures for predictive maintenance decision-making," Journal of Risk and Reliability, , vol. 236(1), pages 98-113, February.
    23. Van Horenbeek, Adriaan & Pintelon, Liliane, 2013. "A dynamic predictive maintenance policy for complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 39-50.
    24. Manco, Pasquale & Rinaldi, Marta & Caterino, Mario & Fera, Marcello & Macchiaroli, Roberto, 2022. "Maintenance management for geographically distributed assets: a criticality-based approach," Reliability Engineering and System Safety, Elsevier, vol. 218(PB).
    25. Zhou, Xiaojun & Huang, Kaimin & Xi, Lifeng & Lee, Jay, 2015. "Preventive maintenance modeling for multi-component systems with considering stochastic failures and disassembly sequence," Reliability Engineering and System Safety, Elsevier, vol. 142(C), pages 231-237.
    26. Xia, Tangbin & Xi, Lifeng & Zhou, Xiaojun & Lee, Jay, 2012. "Dynamic maintenance decision-making for series–parallel manufacturing system based on MAM–MTW methodology," European Journal of Operational Research, Elsevier, vol. 221(1), pages 231-240.
    27. Nguyen, Ho Si Hung & Do, Phuc & Vu, Hai-Canh & Iung, Benoit, 2019. "Dynamic maintenance grouping and routing for geographically dispersed production systems," Reliability Engineering and System Safety, Elsevier, vol. 185(C), pages 392-404.
    28. Cavalcante, C.A.V. & Lopes, R.S. & Scarf, P.A., 2018. "A general inspection and opportunistic replacement policy for one-component systems of variable quality," European Journal of Operational Research, Elsevier, vol. 266(3), pages 911-919.
    29. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    30. Das, K. & Lashkari, R.S. & Sengupta, S., 2007. "Machine reliability and preventive maintenance planning for cellular manufacturing systems," European Journal of Operational Research, Elsevier, vol. 183(1), pages 162-180, November.
    31. Chunhui Guo & Chuan Lyu & Jiayu Chen & Dong Zhou, 2018. "A multi-event combination maintenance model based on event correlation," PLOS ONE, Public Library of Science, vol. 13(11), pages 1-24, November.
    32. Dekker, R. & Wildeman, R. E. & van Egmond, R., 1996. "Joint replacement in an operational planning phase," European Journal of Operational Research, Elsevier, vol. 91(1), pages 74-88, May.
    33. Do Van, Phuc & Barros, Anne & Bérenguer, Christophe & Bouvard, Keomany & Brissaud, Florent, 2013. "Dynamic grouping maintenance with time limited opportunities," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 51-59.
    34. Adjoul, Oussama & Benfriha, Khaled & Zant, Chawki El & Aoussat, Améziane, 2021. "Algorithmic Strategy for Simultaneous Optimization of Design and Maintenance of Multi-Component Industrial Systems," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    35. Aizpurua, J.I. & Catterson, V.M. & Papadopoulos, Y. & Chiacchio, F. & D'Urso, D., 2017. "Supporting group maintenance through prognostics-enhanced dynamic dependability prediction," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 171-188.
    36. Zhou, Xiaojun & Yu, Mengqi, 2020. "Semi-dynamic maintenance scheduling for multi-station series systems in multi-specification and small-batch production," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    37. Liu, Bin & Pandey, Mahesh D. & Wang, Xiaolin & Zhao, Xiujie, 2021. "A finite-horizon condition-based maintenance policy for a two-unit system with dependent degradation processes," European Journal of Operational Research, Elsevier, vol. 295(2), pages 705-717.
    38. Vu, Hai Canh & Do, Phuc & Fouladirad, Mitra & Grall, Antoine, 2020. "Dynamic opportunistic maintenance planning for multi-component redundant systems with various types of opportunities," Reliability Engineering and System Safety, Elsevier, vol. 198(C).
    39. G Budai & D Huisman & R Dekker, 2006. "Scheduling preventive railway maintenance activities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1035-1044, September.
    40. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    41. Urbani, Michele & Brunelli, Matteo & Punkka, Antti, 2023. "An approach for bi-objective maintenance scheduling on a networked system with limited resources," European Journal of Operational Research, Elsevier, vol. 305(1), pages 101-113.
    42. Galante, Giacomo & Passannanti, Gianfranco, 2009. "An exact algorithm for preventive maintenance planning of series–parallel systems," Reliability Engineering and System Safety, Elsevier, vol. 94(10), pages 1517-1525.
    43. Vimal Vijayan & Sanjay K Chaturvedi, 2021. "Multi-component maintenance grouping optimization based on stochastic dependency," Journal of Risk and Reliability, , vol. 235(2), pages 293-305, April.
    44. Mayank Pandey & Ming J Zuo & Ramin Moghaddass, 2016. "Selective maintenance scheduling over a finite planning horizon," Journal of Risk and Reliability, , vol. 230(2), pages 162-177, April.
    45. Jingyi Zhao & Chunhai Gao & Tao Tang, 2022. "A Review of Sustainable Maintenance Strategies for Single Component and Multicomponent Equipment," Sustainability, MDPI, vol. 14(5), pages 1-22, March.
    46. Xia, Tangbin & Jin, Xiaoning & Xi, Lifeng & Ni, Jun, 2015. "Production-driven opportunistic maintenance for batch production based on MAM–APB scheduling," European Journal of Operational Research, Elsevier, vol. 240(3), pages 781-790.
    47. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, June.
    48. Vimal Vijayan & Sanjay K Chaturvedi & Ritesh Chandra, 2020. "A failure interaction model for multicomponent repairable systems," Journal of Risk and Reliability, , vol. 234(3), pages 470-486, June.

  81. Dekker, R. & Smeitink, E., 1991. "Preventive maintenance at opportunities of restricted duration," Serie Research Memoranda 0038, VU University Amsterdam, Faculty of Economics, Business Administration and Econometrics.

    Cited by:

    1. Dekker, Rommert & Roelvink, Ingrid F. K., 1995. "Marginal cost criteria for preventive replacement of a group of components," European Journal of Operational Research, Elsevier, vol. 84(2), pages 467-480, July.
    2. Manar Altehmazi & Saad Suliman & Yaser Alalawi, 2017. "An Optimization Approach to the Preventive Maintenance Planning Process," Modern Applied Science, Canadian Center of Science and Education, vol. 11(9), pages 1-20, September.
    3. Truong Ba, H. & Cholette, M.E. & Borghesani, P. & Zhou, Y. & Ma, L., 2017. "Opportunistic maintenance considering non-homogenous opportunity arrivals and stochastic opportunity durations," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 151-161.
    4. Dekker, Rommert, 1995. "Integrating optimisation, priority setting, planning and combining of maintenance activities," European Journal of Operational Research, Elsevier, vol. 82(2), pages 225-240, April.
    5. Do Van, Phuc & Barros, Anne & Bérenguer, Christophe & Bouvard, Keomany & Brissaud, Florent, 2013. "Dynamic grouping maintenance with time limited opportunities," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 51-59.
    6. Zheng, Junjun & Okamura, Hiroyuki & Dohi, Tadashi, 2021. "Age replacement with Markovian opportunity process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    7. Wu, Jing & Qian, Cunhua & Dohi, Tadashi, 2024. "Optimal opportunity-based age replacement policies in discrete time," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    8. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    9. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

Articles

  1. Akyüz, M. Hakan & Dekker, Rommert & Sharif Azadeh, Shadi, 2023. "Partial and complete replanning of an intermodal logistic system under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

    Cited by:

    1. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    2. Zheng, Hankun & Sun, Huijun & Kang, Liujiang & Dai, Peiling & Wu, Jianjun, 2023. "Multi-route coordination for bus systems in response to road disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).

  2. Zhu, Sha & van Jaarsveld, Willem & Dekker, Rommert, 2022. "Critical project planning and spare parts inventory management in shutdown maintenance," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

    Cited by:

    1. Mocellin, Paolo & Pilenghi, Lisa, 2023. "Semi-quantitative approach to prioritize risk in industrial chemical plants aggregating safety, economics and ageing: A case study," Reliability Engineering and System Safety, Elsevier, vol. 237(C).

  3. Schouten, Thijs Nicolaas & Dekker, Rommert & Hekimoğlu, Mustafa & Eruguz, Ayse Sena, 2022. "Maintenance optimization for a single wind turbine component under time-varying costs," European Journal of Operational Research, Elsevier, vol. 300(3), pages 979-991.

    Cited by:

    1. Deep, Akash & Zhou, Shiyu & Veeramani, Dharmaraj & Chen, Yong, 2023. "Partially observable Markov decision process-based optimal maintenance planning with time-dependent observations," European Journal of Operational Research, Elsevier, vol. 311(2), pages 533-544.
    2. Liu, Peng & Wang, Guanjun, 2023. "Generalized non-renewing replacement warranty policy and an age-based post-warranty maintenance strategy," European Journal of Operational Research, Elsevier, vol. 311(2), pages 567-580.
    3. Pinciroli, Luca & Baraldi, Piero & Zio, Enrico, 2023. "Maintenance optimization in industry 4.0," Reliability Engineering and System Safety, Elsevier, vol. 234(C).

  4. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.

    Cited by:

    1. Taherkhani, Gita & Bilegan, Ioana C. & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2022. "Tactical capacity planning in an integrated multi-stakeholder freight transportation system," Omega, Elsevier, vol. 110(C).
    2. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    3. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.

  5. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.

    Cited by:

    1. Ma, Weina & Hekimoğlu, Mustafa & Dekker, Rommert, 2023. "Admission control for a capacitated supply system with real-time replenishment information," International Journal of Production Economics, Elsevier, vol. 266(C).
    2. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & Scarf, Philip A., 2021. "Inspection and replacement policy with a fixed periodic schedule," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    4. da Costa, Paulo & Verleijsdonk, Peter & Voorberg, Simon & Akcay, Alp & Kapodistria, Stella & van Jaarsveld, Willem & Zhang, Yingqian, 2023. "Policies for the dynamic traveling maintainer problem with alerts," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1141-1152.
    5. Topan, E. & van der Heijden, M.C., 2020. "Operational level planning of a multi-item two-echelon spare parts inventory system with reactive and proactive interventions," European Journal of Operational Research, Elsevier, vol. 284(1), pages 164-175.
    6. Voorberg, S. & van Jaarsveld, W. & Eshuis, R. & van Houtum, G.J., 2023. "Information acquisition for service contract quotations made by repair shops," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1166-1177.
    7. Gerrits, B. & Topan, E. & van der Heijden, M.C., 2022. "Operational planning in service control towers – heuristics and case study," European Journal of Operational Research, Elsevier, vol. 302(3), pages 983-998.
    8. Cai, Yue & Teunter, Ruud H. & de Jonge, Bram, 2023. "A data-driven approach for condition-based maintenance optimization," European Journal of Operational Research, Elsevier, vol. 311(2), pages 730-738.

  6. I. Mallidis & S. Despoudi & R. Dekker & E. Iakovou & D. Vlachos, 2020. "The impact of sulphur limit fuel regulations on maritime supply chain network design," Annals of Operations Research, Springer, vol. 294(1), pages 677-695, November.

    Cited by:

    1. Vishal Kashav & Chandra Prakash Garg & Rupesh Kumar, 2023. "Ranking the strategies to overcome the barriers of the maritime supply chain (MSC) of containerized freight under fuzzy environment," Annals of Operations Research, Springer, vol. 324(1), pages 1223-1268, May.

  7. Zhu, Sha & Jaarsveld, Willem van & Dekker, Rommert, 2020. "Spare parts inventory control based on maintenance planning," Reliability Engineering and System Safety, Elsevier, vol. 193(C).
    See citations under working paper version above.
  8. Mulder, Judith & Dekker, Rommert, 2019. "Designing robust liner shipping schedules: Optimizing recovery actions and buffer times," European Journal of Operational Research, Elsevier, vol. 272(1), pages 132-146.

    Cited by:

    1. Asghari, Mohammad & Jaber, Mohamad Y. & Mirzapour Al-e-hashem, S.M.J., 2023. "Coordinating vessel recovery actions: Analysis of disruption management in a liner shipping service," European Journal of Operational Research, Elsevier, vol. 307(2), pages 627-644.
    2. Guo, Liming & Zheng, Jianfeng & Du, Haoming & Du, Jian & Zhu, Zhihong, 2022. "The berth assignment and allocation problem considering cooperative liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Yang, Kaidi & Roca-Riu, Mireia & Menéndez, Mónica, 2019. "An auction-based approach for prebooked urban logistics facilities," Omega, Elsevier, vol. 89(C), pages 193-211.
    4. Ksciuk, Jana & Kuhlemann, Stefan & Tierney, Kevin & Koberstein, Achim, 2023. "Uncertainty in maritime ship routing and scheduling: A Literature review," European Journal of Operational Research, Elsevier, vol. 308(2), pages 499-524.
    5. Zhang, Abraham & Zheng, Zhichao & Teo, Chung-Piaw, 2022. "Schedule reliability in liner shipping timetable design: A convex programming approach," Transportation Research Part B: Methodological, Elsevier, vol. 155(C), pages 499-525.
    6. Xin Wen & Qiong Chen & Yu-Qi Yin & Yui-yip Lau, 2023. "Green Vessel Scheduling with Weather Impact and Emission Control Area Consideration," Mathematics, MDPI, vol. 11(24), pages 1-25, December.

  9. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "Literature review: The vaccine supply chain," European Journal of Operational Research, Elsevier, vol. 268(1), pages 174-192.
    See citations under working paper version above.
  10. Lotty E. Duijzer & Willem L. van Jaarsveld & Jacco Wallinga & Rommert Dekker, 2018. "Dose†Optimal Vaccine Allocation over Multiple Populations," Production and Operations Management, Production and Operations Management Society, vol. 27(1), pages 143-159, January.

    Cited by:

    1. Zéphirin Nganmeni & Roland Pongou & Bertrand Tchantcho & Jean-Baptiste Tondji, 2022. "Vaccine and Inclusion," Working Papers 2202E Classification-C62,, University of Ottawa, Department of Economics.
    2. Westerink-Duijzer, L.E. & Schlicher, L.P.J. & Musegaas, M., 2019. "Fair allocations for cooperation problems in vaccination," Econometric Institute Research Papers EI2019-06, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Mohammadi, Mehrdad & Dehghan, Milad & Pirayesh, Amir & Dolgui, Alexandre, 2022. "Bi‐objective optimization of a stochastic resilient vaccine distribution network in the context of the COVID‐19 pandemic," Omega, Elsevier, vol. 113(C).
    4. Kumar Mangla, Sachin & Chauhan, Ankur & Kundu, Tanmoy & Mardani, Abbas, 2023. "Emergency order allocation of e-medical supplies due to the disruptive events of the healthcare crisis," Journal of Business Research, Elsevier, vol. 155(PA).
    5. Enayati, Shakiba & Özaltın, Osman Y., 2020. "Optimal influenza vaccine distribution with equity," European Journal of Operational Research, Elsevier, vol. 283(2), pages 714-725.
    6. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    7. Siqing Shan & Qi Yan & Yigang Wei, 2020. "Infectious or Recovered? Optimizing the Infectious Disease Detection Process for Epidemic Control and Prevention Based on Social Media," IJERPH, MDPI, vol. 17(18), pages 1-25, September.
    8. Vahdani, Behnam & Mohammadi, Mehrdad & Thevenin, Simon & Gendreau, Michel & Dolgui, Alexandre & Meyer, Patrick, 2023. "Fair-split distribution of multi-dose vaccines with prioritized age groups and dynamic demand: The case study of COVID-19," European Journal of Operational Research, Elsevier, vol. 310(3), pages 1249-1272.
    9. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.
    10. ten Eikelder, S.C.M. & van Amerongen, J.H.M., 2023. "Resource allocation problems with expensive function evaluations," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1170-1185.
    11. Rezapour, Shabnam & Baghaian, Atefe & Naderi, Nazanin & Sarmiento, Juan P., 2023. "Infection transmission and prevention in metropolises with heterogeneous and dynamic populations," European Journal of Operational Research, Elsevier, vol. 304(1), pages 113-138.
    12. Choudhury, Nishat Alam & Ramkumar, M. & Schoenherr, Tobias & Singh, Shalabh, 2023. "The role of operations and supply chain management during epidemics and pandemics: Potential and future research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).

  11. Hekimoğlu, Mustafa & van der Laan, Ervin & Dekker, Rommert, 2018. "Markov-modulated analysis of a spare parts system with random lead times and disruption risks," European Journal of Operational Research, Elsevier, vol. 269(3), pages 909-922.

    Cited by:

    1. Suresha Kharvi & T. P. M. Pakkala & G. Srinivasan, 2019. "Ordering policies under currency risk sharing agreements: a Markov chain approach," OPSEARCH, Springer;Operational Research Society of India, vol. 56(3), pages 945-964, September.

  12. Mallidis, Ioannis & Iakovou, Eleftherios & Dekker, Rommert & Vlachos, Dimitrios, 2018. "The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 18-39.

    Cited by:

    1. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.

  13. Engin Topan & Tarkan Tan & Geert-Jan van Houtum & Rommert Dekker, 2018. "Using imperfect advance demand information in lost-sales inventory systems with the option of returning inventory," IISE Transactions, Taylor & Francis Journals, vol. 50(3), pages 246-264, March.

    Cited by:

    1. Oguzhan Vicil, 2021. "Optimizing stock levels for service-differentiated demand classes with inventory rationing and demand lead times," Flexible Services and Manufacturing Journal, Springer, vol. 33(2), pages 381-424, June.
    2. Feng, Haofang & Zhang, Sheng Hao & Zhang, Yong, 2023. "Managing production-inventory-maintenance systems with condition monitoring," European Journal of Operational Research, Elsevier, vol. 310(2), pages 698-711.
    3. Rippe, Christoph & Kiesmüller, Gudrun P., 2023. "The repair kit problem with imperfect advance demand information," European Journal of Operational Research, Elsevier, vol. 304(2), pages 558-576.
    4. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Van der Auweraer, Sarah & Zhu, Sha & Boute, Robert N., 2021. "The value of installed base information for spare part inventory control," International Journal of Production Economics, Elsevier, vol. 239(C).
    6. Jana Ralfs & Gudrun P. Kiesmüller, 2022. "Inventory management with advance demand information and flexible shipment consolidation," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(4), pages 1009-1044, December.
    7. Lamghari-Idrissi, Douniel & Basten, Rob & van Houtum, Geert-Jan, 2020. "Spare parts inventory control under a fixed-term contract with a long-down constraint," International Journal of Production Economics, Elsevier, vol. 219(C), pages 123-137.
    8. Douniel Lamghari-Idrissi & Roy van Hugten & Geert-Jan van Houtum & Rob Basten, 2022. "Increasing Chip Availability Through a New After-Sales Service Supply Concept at ASML," Interfaces, INFORMS, vol. 52(5), pages 460-470, September.
    9. Sun, Mingyao & Ng, Chi To & Wu, Feng & Cheng, T.C.E., 2022. "Optimization of after-sales services with spare parts consumption and repairman travel," International Journal of Production Economics, Elsevier, vol. 244(C).
    10. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.

  14. Duijzer, Lotty Evertje & van Jaarsveld, Willem & Dekker, Rommert, 2018. "The benefits of combining early aspecific vaccination with later specific vaccination," European Journal of Operational Research, Elsevier, vol. 271(2), pages 606-619.
    See citations under working paper version above.
  15. Bart Riessen & Rudy R. Negenborn & Rommert Dekker, 2017. "The Cargo Fare Class Mix problem for an intermodal corridor: revenue management in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 634-658, December.

    Cited by:

    1. Moussawi-Haidar, Lama & Nasr, Walid & Jalloul, Maya, 2021. "Standardized cargo network revenue management with dual channels under stochastic and time-dependent demand," European Journal of Operational Research, Elsevier, vol. 295(1), pages 275-291.
    2. Feng, Fenling & Zhang, Jiaqi & Liu, Chengguang, 2023. "Integrated pricing mechanism of China Railway Express whole-process logistics based on the Stackelberg game," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 609(C).
    3. Taherkhani, Gita & Bilegan, Ioana C. & Crainic, Teodor Gabriel & Gendreau, Michel & Rei, Walter, 2022. "Tactical capacity planning in an integrated multi-stakeholder freight transportation system," Omega, Elsevier, vol. 110(C).
    4. Guo, Wenjing & Atasoy, Bilge & van Blokland, Wouter Beelaerts & Negenborn, Rudy R., 2021. "Global synchromodal transport with dynamic and stochastic shipment matching," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    5. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    6. Christine Tawfik & Sabine Limbourg, 2018. "Pricing Problems in Intermodal Freight Transport: Research Overview and Prospects," Sustainability, MDPI, vol. 10(9), pages 1-22, September.
    7. Tomas Ambra & An Caris & Cathy Macharis, 2019. "Should I Stay or Should I Go? Assessing Intermodal and Synchromodal Resilience from a Decentralized Perspective," Sustainability, MDPI, vol. 11(6), pages 1-24, March.
    8. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.
    9. Johannes Rentschler & Ralf Elbert & Felix Weber, 2022. "Promoting Sustainability through Synchromodal Transportation: A Systematic Literature Review and Future Fields of Research," Sustainability, MDPI, vol. 14(20), pages 1-22, October.
    10. Giusti, Riccardo & Manerba, Daniele & Bruno, Giorgio & Tadei, Roberto, 2019. "Synchromodal logistics: An overview of critical success factors, enabling technologies, and open research issues," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 129(C), pages 92-110.

  16. Kadziński, Miłosz & Tervonen, Tommi & Tomczyk, Michał K. & Dekker, Rommert, 2017. "Evaluation of multi-objective optimization approaches for solving green supply chain design problems," Omega, Elsevier, vol. 68(C), pages 168-184.

    Cited by:

    1. Cao, Erbao & Yu, Man, 2019. "The bright side of carbon emission permits on supply chain financing and performance," Omega, Elsevier, vol. 88(C), pages 24-39.
    2. Ma, Jun & Nault, Barrie R. & Tu, Yiliu (Paul), 2023. "Customer segmentation, pricing, and lead time decisions: A stochastic-user-equilibrium perspective," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Mike G. Tsionas, 2021. "Multi-criteria optimization in regression," Annals of Operations Research, Springer, vol. 306(1), pages 7-25, November.
    4. Tang, Lianhua & Li, Yantong & Bai, Danyu & Liu, Tao & Coelho, Leandro C., 2022. "Bi-objective optimization for a multi-period COVID-19 vaccination planning problem," Omega, Elsevier, vol. 110(C).
    5. Zhao, Ruijia & Song, Yunting & Wang, Haoze & Xie, Xinlian, 2022. "Bi-objective optimisation model and its exact solution method of profit and market share of novel repair-and-support ships based on game theory," Omega, Elsevier, vol. 113(C).
    6. Zhao, Jianyu & Yu, Lean & Xi, Xi & Li, Shengliang, 2023. "Knowledge percolation threshold and optimization strategies of the combinatorial network for complex innovation in the digital economy," Omega, Elsevier, vol. 120(C).
    7. Mansini, Renata & Zanella, Marina & Zanotti, Roberto, 2023. "Optimizing a complex multi-objective personnel scheduling problem jointly complying with requests from customers and staff," Omega, Elsevier, vol. 114(C).
    8. Barbati, Maria & Greco, Salvatore & Kadziński, Miłosz & Słowiński, Roman, 2018. "Optimization of multiple satisfaction levels in portfolio decision analysis," Omega, Elsevier, vol. 78(C), pages 192-204.
    9. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    10. Tsionas, Mike G., 2018. "A Bayesian approach to find Pareto optima in multiobjective programming problems using Sequential Monte Carlo algorithms," Omega, Elsevier, vol. 77(C), pages 73-79.
    11. Nihan Kabadayi & Mohammad Dehghanimohammadabadi, 2022. "Multi-objective supplier selection process: a simulation–optimization framework integrated with MCDM," Annals of Operations Research, Springer, vol. 319(2), pages 1607-1629, December.

  17. Ye, Qing Chuan & Zhang, Yingqian & Dekker, Rommert, 2017. "Fair task allocation in transportation," Omega, Elsevier, vol. 68(C), pages 1-16.

    Cited by:

    1. Gusev, Vasily V., 2020. "The vertex cover game: Application to transport networks," Omega, Elsevier, vol. 97(C).
    2. Zhang, Juliang & Xiang, Jie & Cheng, T.C. Edwin & Hua, Guowei & Chen, Cheng, 2019. "An optimal efficient multi-attribute auction for transportation procurement with carriers having multi-unit supplies," Omega, Elsevier, vol. 83(C), pages 249-260.
    3. Nayeli Hernandez-Martinez & Nevin Mutlu & Jan C. Fransoo, 2021. "Social equity in supplier–buyer relationships in smallholder agri-food supply chains," Flexible Services and Manufacturing Journal, Springer, vol. 33(4), pages 1027-1089, December.
    4. Víctor Blanco & Ricardo Gázquez & Marina Leal, 2023. "Mathematical optimization models for reallocating and sharing health equipment in pandemic situations," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 31(2), pages 355-390, July.

  18. Zhu, Sha & Dekker, Rommert & van Jaarsveld, Willem & Renjie, Rex Wang & Koning, Alex J., 2017. "An improved method for forecasting spare parts demand using extreme value theory," European Journal of Operational Research, Elsevier, vol. 261(1), pages 169-181.

    Cited by:

    1. Shuai Zhang & Kai Huang & Yufei Yuan, 2021. "Spare Parts Inventory Management: A Literature Review," Sustainability, MDPI, vol. 13(5), pages 1-23, February.
    2. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    3. Hekimoğlu, Mustafa & Karlı, Deniz, 2023. "Modeling repair demand in existence of a nonstationary installed base," International Journal of Production Economics, Elsevier, vol. 263(C).
    4. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Boylan, John E. & Babai, M. Zied, 2022. "Estimating the cumulative distribution function of lead-time demand using bootstrapping with and without replacement," International Journal of Production Economics, Elsevier, vol. 252(C).
    6. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    7. Cheung, Ka Chun & Yam, Sheung Chi Phillip & Zhang, Yiying, 2022. "Satisficing credibility for heterogeneous risks," European Journal of Operational Research, Elsevier, vol. 298(2), pages 752-768.
    8. Dacorogna, Michel & Debbabi, Nehla & Kratz, Marie, 2023. "Building up cyber resilience by better grasping cyber risk via a new algorithm for modelling heavy-tailed data," European Journal of Operational Research, Elsevier, vol. 311(2), pages 708-729.
    9. Boram Choi & Jong Hwan Suh, 2020. "Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea," Sustainability, MDPI, vol. 12(15), pages 1-20, July.

  19. van Jaarsveld, Willem & Dollevoet, Twan & Dekker, Rommert, 2015. "Improving spare parts inventory control at a repair shop," Omega, Elsevier, vol. 57(PB), pages 217-229.

    Cited by:

    1. Yazdekhasti, Amin & sharifzadeh, Shila & Ma, Junfeng, 2022. "A two-echelon two-indenture warranty distribution network development and optimization under batch-ordering inventory policy," International Journal of Production Economics, Elsevier, vol. 249(C).
    2. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    3. Olde Keizer, Minou C.A. & Teunter, Ruud H. & Veldman, Jasper, 2017. "Joint condition-based maintenance and inventory optimization for systems with multiple components," European Journal of Operational Research, Elsevier, vol. 257(1), pages 209-222.
    4. Driessen, M.A. & van Houtum, G.J. & Zijm, W.H.M. & Rustenburg, W.D., 2020. "Capacity assignment in repair shops with high material uncertainty," International Journal of Production Economics, Elsevier, vol. 221(C).
    5. Rahimi-Ghahroodi, S. & Al Hanbali, A. & Vliegen, I.M.H. & Cohen, M.A., 2019. "Joint optimization of spare parts inventory and service engineers staffing with full backlogging," International Journal of Production Economics, Elsevier, vol. 212(C), pages 39-50.
    6. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    7. Sleptchenko, Andrei & Turan, Hasan Hüseyin & Pokharel, Shaligram & ElMekkawy, Tarek Y., 2019. "Cross-training policies for repair shops with spare part inventories," International Journal of Production Economics, Elsevier, vol. 209(C), pages 334-345.
    8. Boliang Lin & Jiaxi Wang & Huasheng Wang & Zhongkai Wang & Jian Li & Ruixi Lin & Jie Xiao & Jianping Wu, 2017. "Inventory-transportation integrated optimization for maintenance spare parts of high-speed trains," PLOS ONE, Public Library of Science, vol. 12(5), pages 1-18, May.
    9. Yongquan, Sun & Xi, Chen & He, Ren & Yingchao, Jin & Quanwu, Liu, 2016. "Ordering decision-making methods on spare parts for a new aircraft fleet based on a two-sample prediction," Reliability Engineering and System Safety, Elsevier, vol. 156(C), pages 40-50.
    10. Prak, Dennis & Teunter, Ruud & Babai, Mohamed Zied & Boylan, John E. & Syntetos, Aris, 2021. "Robust compound Poisson parameter estimation for inventory control," Omega, Elsevier, vol. 104(C).
    11. Sheikh-Zadeh, Alireza & Rossetti, Manuel D., 2020. "Classification methods for problem size reduction in spare part provisioning," International Journal of Production Economics, Elsevier, vol. 219(C), pages 99-114.
    12. Boram Choi & Jong Hwan Suh, 2020. "Forecasting Spare Parts Demand of Military Aircraft: Comparisons of Data Mining Techniques and Managerial Features from the Case of South Korea," Sustainability, MDPI, vol. 12(15), pages 1-20, July.
    13. Voorberg, S. & van Jaarsveld, W. & Eshuis, R. & van Houtum, G.J., 2023. "Information acquisition for service contract quotations made by repair shops," European Journal of Operational Research, Elsevier, vol. 305(3), pages 1166-1177.

  20. Çerağ Pinçe & J. B. G. Frenk & Rommert Dekker, 2015. "The Role of Contract Expirations in Service Parts Management," Production and Operations Management, Production and Operations Management Society, vol. 24(10), pages 1580-1597, October.

    Cited by:

    1. Ozyoruk, Emin & Erkip, Nesim Kohen & Ararat, Çağın, 2022. "End-of-life inventory management problem: Results and insights," International Journal of Production Economics, Elsevier, vol. 243(C).
    2. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Van der Auweraer, Sarah & Zhu, Sha & Boute, Robert N., 2021. "The value of installed base information for spare part inventory control," International Journal of Production Economics, Elsevier, vol. 239(C).
    4. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    5. Yonit Barron & Opher Baron, 2020. "The residual time approach for (Q, r) model under perishability, general lead times, and lost sales," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 92(3), pages 601-648, December.
    6. Christiane B. Haubitz & Ulrich W. Thonemann, 2021. "How to Change a Running System—Controlling the Transition to Optimized Spare Parts Inventory Policies," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1386-1405, May.
    7. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.

  21. Bart van Riessen & Rudy R Negenborn & Gabriel Lodewijks & Rommert Dekker, 2015. "Impact and relevance of transit disturbances on planning in intermodal container networks using disturbance cost analysis," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 17(4), pages 440-463, December.

    Cited by:

    1. Qu, Wenhua & Rezaei, Jafar & Maknoon, Yousef & Tavasszy, Lóránt, 2019. "Hinterland freight transportation replanning model under the framework of synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 308-328.
    2. Thibault Delbart & Yves Molenbruch & Kris Braekers & An Caris, 2021. "Uncertainty in Intermodal and Synchromodal Transport: Review and Future Research Directions," Sustainability, MDPI, vol. 13(7), pages 1-25, April.
    3. Behzad Behdani & Bart Wiegmans & Violeta Roso & Hercules Haralambides, 2020. "Port-hinterland transport and logistics: emerging trends and frontier research," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(1), pages 1-25, March.
    4. Sakti, Sekar & Zhang, Lele & Thompson, Russell G., 2023. "Synchronization in synchromodality," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 179(C).
    5. Bart Van Riessen & Judith Mulder & Rudy R. Negenborn & Rommert Dekker, 2021. "Revenue management with two fare classes in synchromodal container transportation," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 623-662, September.
    6. Gumuskaya, Volkan & van Jaarsveld, Willem & Dijkman, Remco & Grefen, Paul & Veenstra, Albert, 2020. "Dynamic barge planning with stochastic container arrivals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    7. Beatriz Acero & Maria Jesus Saenz & Davide Luzzini, 2022. "Introducing synchromodality: One missing link between transportation and supply chain management," Journal of Supply Chain Management, Institute for Supply Management, vol. 58(1), pages 51-64, January.
    8. Steffen Jaap Bakker & E. Ruben van Beesten & Ingvild Synn{o}ve Brynildsen & Anette Sandvig & Marit Siqveland & Asgeir Tomasgard, 2023. "STraM: a framework for strategic national freight transport modeling," Papers 2304.14001, arXiv.org.
    9. Li, Le & Negenborn, Rudy R. & De Schutter, Bart, 2017. "Distributed model predictive control for cooperative synchromodal freight transport," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 240-260.
    10. Akyüz, M. Hakan & Dekker, Rommert & Sharif Azadeh, Shadi, 2023. "Partial and complete replanning of an intermodal logistic system under disruptions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).

  22. M. Pourakbar & E. Laan & R. Dekker, 2014. "End-of-Life Inventory Problem with Phaseout Returns," Production and Operations Management, Production and Operations Management Society, vol. 23(9), pages 1561-1576, September.
    See citations under working paper version above.
  23. van Wingerden, E. & Basten, R.J.I. & Dekker, R. & Rustenburg, W.D., 2014. "More grip on inventory control through improved forecasting: A comparative study at three companies," International Journal of Production Economics, Elsevier, vol. 157(C), pages 220-237.

    Cited by:

    1. Ma, Weina & Hekimoğlu, Mustafa & Dekker, Rommert, 2023. "Admission control for a capacitated supply system with real-time replenishment information," International Journal of Production Economics, Elsevier, vol. 266(C).
    2. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    3. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    4. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Fabian Taigel & Anselme K. Tueno & Richard Pibernik, 2018. "Privacy-preserving condition-based forecasting using machine learning," Journal of Business Economics, Springer, vol. 88(5), pages 563-592, July.
    6. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    7. Zhu, Sha & Dekker, Rommert & van Jaarsveld, Willem & Renjie, Rex Wang & Koning, Alex J., 2017. "An improved method for forecasting spare parts demand using extreme value theory," European Journal of Operational Research, Elsevier, vol. 261(1), pages 169-181.
    8. Kück, Mirko & Freitag, Michael, 2021. "Forecasting of customer demands for production planning by local k-nearest neighbor models," International Journal of Production Economics, Elsevier, vol. 231(C).

  24. de Vries, Harwin & Carrasco-Gallego, Ruth & Farenhorst-Yuan, Taoying & Dekker, Rommert, 2014. "Prioritizing replenishments of the piece picking area," European Journal of Operational Research, Elsevier, vol. 236(1), pages 126-134.

    Cited by:

    1. Çelik, Melih & Archetti, Claudia & Süral, Haldun, 2022. "Inventory routing in a warehouse: The storage replenishment routing problem," European Journal of Operational Research, Elsevier, vol. 301(3), pages 1117-1132.
    2. Jiang, Min & Leung, K.H. & Lyu, Zhongyuan & Huang, George Q., 2020. "Picking-replenishment synchronization for robotic forward-reserve warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    3. AERTS, Babiche & CORNELISSENS, Trijntje & SÖRENSEN, Kenneth, 2022. "The internal warehouse replenishment problem: the importance of storage and replenishment policies," Working Papers 2022007, University of Antwerp, Faculty of Business and Economics.
    4. Guo, Xiaolong & Chen, Ran & Du, Shaofu & Yu, Yugang, 2021. "Storage assignment for newly arrived items in forward picking areas with limited open locations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 151(C).

  25. Mallidis, Ioannis & Vlachos, Dimitrios & Iakovou, Eleftherios & Dekker, Rommert, 2014. "Design and planning for green global supply chains under periodic review replenishment policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 210-235.

    Cited by:

    1. I. Mallidis & S. Despoudi & R. Dekker & E. Iakovou & D. Vlachos, 2020. "The impact of sulphur limit fuel regulations on maritime supply chain network design," Annals of Operations Research, Springer, vol. 294(1), pages 677-695, November.
    2. Baller, Reinhard & Fontaine, Pirmin & Minner, Stefan & Lai, Zhen, 2022. "Optimizing automotive inbound logistics: A mixed-integer linear programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 163(C).
    3. Schaefer, Brian & Konur, Dinçer, 2015. "Economic and environmental considerations in a continuous review inventory control system with integrated transportation decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 80(C), pages 142-165.
    4. Konur, Dinçer & Campbell, James F. & Monfared, Sepideh A., 2017. "Economic and environmental considerations in a stochastic inventory control model with order splitting under different delivery schedules among suppliers," Omega, Elsevier, vol. 71(C), pages 46-65.
    5. Luqing Rong & Maozeng Xu, 2022. "Impact of Altruistic Preference and Government Subsidy on the Multinational Green Supply Chain under Dynamic Tariff," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 24(2), pages 1928-1958, February.
    6. Nouri, Mina & Hosseini-Motlagh, Seyyed-Mahdi & Nematollahi, Mohammadreza & Sarker, Bhaba R., 2018. "Coordinating manufacturer's innovation and retailer's promotion and replenishment using a compensation-based wholesale price contract," International Journal of Production Economics, Elsevier, vol. 198(C), pages 11-24.
    7. Piera Centobelli & Roberto Cerchione & Emilio Esposito, 2018. "Environmental Sustainability and Energy-Efficient Supply Chain Management: A Review of Research Trends and Proposed Guidelines," Energies, MDPI, vol. 11(2), pages 1-36, January.
    8. Jahani, Hamed & Abbasi, Babak & Sheu, Jiuh-Biing & Klibi, Walid, 2024. "Supply chain network design with financial considerations: A comprehensive review," European Journal of Operational Research, Elsevier, vol. 312(3), pages 799-839.
    9. Behnam Vahdani & Elham Ahmadzadeh, 2021. "Incorporating Price-Dependent Demands into a Multi-Echelon Closed-Loop Network Considering the Lost Sales and Backorders: a Case Study of Wireless Network," Networks and Spatial Economics, Springer, vol. 21(3), pages 639-680, September.
    10. Dehghani, Ehsan & Jabalameli, Mohammad Saeed & Jabbarzadeh, Armin, 2018. "Robust design and optimization of solar photovoltaic supply chain in an uncertain environment," Energy, Elsevier, vol. 142(C), pages 139-156.
    11. M. Turkensteen (Marcel) & van den Heuvel, W., 2019. "The trade-off between costs and carbon emissions from lot-sizing decisions," Econometric Institute Research Papers EI2019-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Mallidis, Ioannis & Iakovou, Eleftherios & Dekker, Rommert & Vlachos, Dimitrios, 2018. "The impact of slow steaming on the carriers’ and shippers’ costs: The case of a global logistics network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 111(C), pages 18-39.

  26. Mulder, Judith & Dekker, Rommert, 2014. "Methods for strategic liner shipping network design," European Journal of Operational Research, Elsevier, vol. 235(2), pages 367-377.

    Cited by:

    1. Michael F. Gorman & John-Paul Clarke & René Koster & Michael Hewitt & Debjit Roy & Mei Zhang, 2023. "Emerging practices and research issues for big data analytics in freight transportation," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 28-60, March.
    2. Balakrishnan, Anantaram & Karsten, Christian Vad, 2017. "Container shipping service selection and cargo routing with transshipment limits," European Journal of Operational Research, Elsevier, vol. 263(2), pages 652-663.
    3. Angeloudis, Panagiotis & Greco, Luciano & Bell, Michael G.H., 2016. "Strategic maritime container service design in oligopolistic markets," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 22-37.
    4. Nguyen Khoi Tran & Hans-Dietrich Haasis & Tobias Buer, 2017. "Container shipping route design incorporating the costs of shipping, inland/feeder transport, inventory and CO2 emission," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(4), pages 667-694, December.
    5. Jun Xia & Kevin X. Li & Hong Ma & Zhou Xu, 2015. "Joint Planning of Fleet Deployment, Speed Optimization, and Cargo Allocation for Liner Shipping," Transportation Science, INFORMS, vol. 49(4), pages 922-938, November.
    6. Ng, ManWo, 2017. "Revisiting a class of liner fleet deployment models," European Journal of Operational Research, Elsevier, vol. 257(3), pages 773-776.
    7. Brouer, Berit Dangaard & Desaulniers, Guy & Pisinger, David, 2014. "A matheuristic for the liner shipping network design problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 42-59.
    8. Christiansen, Marielle & Hellsten, Erik & Pisinger, David & Sacramento, David & Vilhelmsen, Charlotte, 2020. "Liner shipping network design," European Journal of Operational Research, Elsevier, vol. 286(1), pages 1-20.
    9. Wang, Shuaian & Liu, Zhiyuan & Bell, Michael G.H., 2015. "Profit-based maritime container assignment models for liner shipping networks," Transportation Research Part B: Methodological, Elsevier, vol. 72(C), pages 59-76.
    10. Meng, Qiang & Lee, Chung-Yee, 2016. "Liner container assignment model with transit-time-sensitive container shipment demand and its applicationsAuthor-Name: Wang, Shuaian," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 135-155.
    11. Wang, Shuaian, 2016. "Fundamental properties and pseudo-polynomial-time algorithm for network containership sailing speed optimization," European Journal of Operational Research, Elsevier, vol. 250(1), pages 46-55.
    12. Karsten, Christian Vad & Brouer, Berit Dangaard & Desaulniers, Guy & Pisinger, David, 2017. "Time constrained liner shipping network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 152-162.
    13. Mohammad Ghorbani & Michele Acciaro & Sandra Transchel & Pierre Cariou, 2022. "Strategic alliances in container shipping: A review of the literature and future research agenda," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(2), pages 439-465, June.
    14. Mulder, J. & Dekker, R., 2016. "Will liner ships make fewer port calls per route?," Econometric Institute Research Papers EI2016-04, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    15. Peng, Wenhao & Bai, Xiwen, 2022. "Prospects for improving shipping companies’ profit margins by quantifying operational strategies and market focus approach through AIS data," Transport Policy, Elsevier, vol. 128(C), pages 138-152.
    16. Akyüz, M. Hakan & Lee, Chung-Yee, 2016. "Service type assignment and container routing with transit time constraints and empty container repositioning for liner shipping service networks," Transportation Research Part B: Methodological, Elsevier, vol. 88(C), pages 46-71.
    17. Santini, Alberto & Plum, Christian E.M. & Ropke, Stefan, 2018. "A branch-and-price approach to the feeder network design problem," European Journal of Operational Research, Elsevier, vol. 264(2), pages 607-622.
    18. Ng, ManWo, 2014. "Distribution-free vessel deployment for liner shipping," European Journal of Operational Research, Elsevier, vol. 238(3), pages 858-862.
    19. Zhen, Lu & Shen, Tao & Wang, Shuaian & Yu, Shucheng, 2016. "Models on ship scheduling in transshipment hubs with considering bunker cost," International Journal of Production Economics, Elsevier, vol. 173(C), pages 111-121.
    20. Chen, Jingxu & Jia, Shuai & Wang, Shuaian & Liu, Zhiyuan, 2018. "Subloop-based reversal of port rotation directions for container liner shipping network alteration," Transportation Research Part B: Methodological, Elsevier, vol. 118(C), pages 336-361.
    21. Kristian Thun & Henrik Andersson & Marielle Christiansen, 2017. "Analyzing complex service structures in liner shipping network design," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 535-552, December.
    22. Lee, Chung-Yee & Song, Dong-Ping, 2017. "Ocean container transport in global supply chains: Overview and research opportunities," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 442-474.
    23. Kevin Tierney & Jan Fabian Ehmke & Ann Melissa Campbell & Daniel Müller, 2019. "Liner shipping single service design problem with arrival time service levels," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 620-652, September.
    24. Ng, ManWo & Lin, Dung-Ying, 2018. "Fleet deployment in liner shipping with incomplete demand information," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 116(C), pages 184-189.
    25. Yang, Dong & Pan, Kai & Wang, Shuaian, 2018. "On service network improvement for shipping lines under the one belt one road initiative of China," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 117(C), pages 82-95.
    26. Mulder, J. & Dekker, R., 2016. "Optimization in container liner shipping," Econometric Institute Research Papers EI2016-05, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    27. Koliousis, Ioannis G. & Papadimitriou, Stratos & Riza, Elena & Stavroulakis, Peter J. & Tsioumas, Vangelis, 2019. "Strategic correlations for maritime clusters," Transportation Research Part A: Policy and Practice, Elsevier, vol. 120(C), pages 43-57.
    28. Gang Du & Chuanwang Sun & Jinxian Weng, 2016. "Liner Shipping Fleet Deployment with Sustainable Collaborative Transportation," Sustainability, MDPI, vol. 8(2), pages 1-15, February.
    29. Nikolai MAIOROV & Vladimir FETISOV & Srećko KRILE & Darijo MISKOVIC, 2019. "Forecasting Of The Route Network Of Ferry And Cruise Lines Based On Simulation And Intelligent Transport Systems," Transport Problems, Silesian University of Technology, Faculty of Transport, vol. 14(2), pages 111-121, June.
    30. Tobias Buer & Rasmus Haass, 2018. "Cooperative liner shipping network design by means of a combinatorial auction," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 686-711, December.
    31. David F. Koza & Guy Desaulniers & Stefan Ropke, 2020. "Integrated Liner Shipping Network Design and Scheduling," Transportation Science, INFORMS, vol. 54(2), pages 512-533, March.
    32. Archetti, Claudia & Peirano, Lorenzo & Speranza, M. Grazia, 2022. "Optimization in multimodal freight transportation problems: A Survey," European Journal of Operational Research, Elsevier, vol. 299(1), pages 1-20.
    33. Bingfeng Bai & Wei Fan, 2023. "Research on strategic liner ship fleet planning with regard to hub-and-spoke network," Operations Management Research, Springer, vol. 16(1), pages 363-376, March.

  27. Dekker, Rommert & Pinçe, Çerağ & Zuidwijk, Rob & Jalil, Muhammad Naiman, 2013. "On the use of installed base information for spare parts logistics: A review of ideas and industry practice," International Journal of Production Economics, Elsevier, vol. 143(2), pages 536-545.
    See citations under working paper version above.
  28. Yang, Guangyuan & Dekker, Rommert & Gabor, Adriana F. & Axsäter, Sven, 2013. "Service parts inventory control with lateral transshipment and pipeline stockflexibility," International Journal of Production Economics, Elsevier, vol. 142(2), pages 278-289.

    Cited by:

    1. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    2. Dehghani, Maryam & Abbasi, Babak, 2018. "An age-based lateral-transshipment policy for perishable items," International Journal of Production Economics, Elsevier, vol. 198(C), pages 93-103.
    3. Dhahri, Akrem & Gharbi, Ali & Ouhimmou, Mustapha, 2022. "Integrated production-transshipment control policy for a two-location unreliable manufacturing system," International Journal of Production Economics, Elsevier, vol. 247(C).
    4. Yongchang Wei & Fangyu Chen & Feng Xiong, 2018. "Dynamic Complexities in a Supply Chain System with Lateral Transshipments," Complexity, Hindawi, vol. 2018, pages 1-15, June.
    5. Bo Dai & Fenfen Li, 2021. "Joint Inventory Replenishment Planning of an E-Commerce Distribution System with Distribution Centers at Producers’ Locations," Logistics, MDPI, vol. 5(3), pages 1-14, July.
    6. Axsäter, Sven, 2014. "An improved decision rule for emergency replenishments," International Journal of Production Economics, Elsevier, vol. 157(C), pages 313-317.
    7. Somarin, Aghil Rezaei & Sharma, Pankaj & Tiwari, Sunil & Chen, Songlin, 2023. "Stock reallocation policy for repairable service parts in case of supply disruptions due to extreme weather events," International Journal of Production Economics, Elsevier, vol. 256(C).
    8. Hekimoğlu, Mustafa & Scheller-Wolf, Alan, 2023. "Dual sourcing models with stock-out dependent substitution," European Journal of Operational Research, Elsevier, vol. 311(2), pages 472-485.
    9. Olsson, Fredrik, 2015. "Emergency lateral transshipments in a two-location inventory system with positive transshipment leadtimes," European Journal of Operational Research, Elsevier, vol. 242(2), pages 424-433.
    10. Park, Seung Jae, 2018. "Swapping inventory between competing firms," International Journal of Production Economics, Elsevier, vol. 199(C), pages 26-46.
    11. Johansson, Lina & Olsson, Fredrik, 2018. "Age-based inventory control in a multi-echelon system with emergency replenishments," European Journal of Operational Research, Elsevier, vol. 265(3), pages 951-961.
    12. Topan, E. & Eruguz, A.S. & Ma, W. & van der Heijden, M.C. & Dekker, R., 2020. "A review of operational spare parts service logistics in service control towers," European Journal of Operational Research, Elsevier, vol. 282(2), pages 401-414.
    13. Christian Howard & Johan Marklund & Tarkan Tan & Ingrid Reijnen, 2015. "Inventory Control in a Spare Parts Distribution System with Emergency Stocks and Pipeline Information," Manufacturing & Service Operations Management, INFORMS, vol. 17(2), pages 142-156, May.
    14. Zümbül Atan & Lawrence V. Snyder & George R. Wilson, 2018. "Transshipment policies for systems with multiple retailers and two demand classes," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 40(1), pages 159-186, January.
    15. Lina Johansson & Fredrik Olsson, 2017. "Quantifying sustainable control of inventory systems with non-linear backorder costs," Annals of Operations Research, Springer, vol. 259(1), pages 217-239, December.

  29. Eelco van Asperen & Rommert Dekker, 2013. "Centrality, flexibility and floating stocks: A quantitative evaluation of port-of-entry choices," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 15(1), pages 72-100, March.

    Cited by:

    1. Zhengyi Li, 2019. "Optimal Utilization of Ports’ Free-of-Charge Times in One Distribution Center and Multiple Ports Inventory Systems," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    2. Dawn Russell & Kusumal Ruamsook & Violeta Roso, 2022. "Managing supply chain uncertainty by building flexibility in container port capacity: a logistics triad perspective and the COVID-19 case," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 24(1), pages 92-113, March.
    3. Flitsch, Verena & Brümmerstedt, Katrin, 2015. "Freight Transport Modelling of Container Hinterland Supply Chains," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Blecker, Thorsten & Kersten, Wolfgang & Ringle, Christian M. (ed.), Operational Excellence in Logistics and Supply Chains: Optimization Methods, Data-driven Approaches and Security Insights. Proceedings of the Hamburg , volume 22, pages 233-266, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

  30. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.

    Cited by:

    1. van der Plas, C. & Tervonen, T. & Dekker, R., 2012. "Evaluation of scalarization methods and NSGA-II/SPEA2 genetic algorithms for multi-objective optimization of green supply chain design," Econometric Institute Research Papers EI2012-24, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    2. Ding, Huiping & Zhao, Qilan & An, Zhirong & Tang, Ou, 2016. "Collaborative mechanism of a sustainable supply chain with environmental constraints and carbon caps," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 191-207.
    3. I. Mallidis & S. Despoudi & R. Dekker & E. Iakovou & D. Vlachos, 2020. "The impact of sulphur limit fuel regulations on maritime supply chain network design," Annals of Operations Research, Springer, vol. 294(1), pages 677-695, November.
    4. Qian Dai & Jiaqi Yang & Dong Li, 2018. "Modeling a Three-Mode Hybrid Port-Hinterland Freight Intermodal Distribution Network with Environmental Consideration: The Case of the Yangtze River Economic Belt in China," Sustainability, MDPI, vol. 10(9), pages 1-26, August.
    5. Fahimnia, Behnam & Sarkis, Joseph & Eshragh, Ali, 2015. "A tradeoff model for green supply chain planning:A leanness-versus-greenness analysis," Omega, Elsevier, vol. 54(C), pages 173-190.
    6. Mallidis, Ioannis & Vlachos, Dimitrios & Iakovou, Eleftherios & Dekker, Rommert, 2014. "Design and planning for green global supply chains under periodic review replenishment policies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 210-235.
    7. Waltho, Cynthia & Elhedhli, Samir & Gzara, Fatma, 2019. "Green supply chain network design: A review focused on policy adoption and emission quantification," International Journal of Production Economics, Elsevier, vol. 208(C), pages 305-318.
    8. Mohebalizadehgashti, Fatemeh & Zolfagharinia, Hossein & Amin, Saman Hassanzadeh, 2020. "Designing a green meat supply chain network: A multi-objective approach," International Journal of Production Economics, Elsevier, vol. 219(C), pages 312-327.
    9. Liu, Aijun & Zhu, Qiuyun & Xu, Lei & Lu, Qiang & Fan, Youqing, 2021. "Sustainable supply chain management for perishable products in emerging markets: An integrated location-inventory-routing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    10. Ding, Huiping & Wang, Li & Zheng, Lucy, 2018. "Collaborative mechanism on profit allotment and public health for a sustainable supply chain," European Journal of Operational Research, Elsevier, vol. 267(2), pages 478-495.
    11. Enrico Massaroni & Alessandra Cozzolino & Mario Calabrese & Ewa Wankowicz & Maura Fiore, 2016. "Reporting di sostenibilit? degli operatori logistici in Europa: analisi degli indicatori," ECONOMIA E DIRITTO DEL TERZIARIO, FrancoAngeli Editore, vol. 2016(2), pages 303-334.
    12. Yu, Min & Cruz, Jose M. & Li, Dong Michelle, 2019. "The sustainable supply chain network competition with environmental tax policies," International Journal of Production Economics, Elsevier, vol. 217(C), pages 218-231.
    13. Accorsi, Riccardo & Manzini, Riccardo & Pini, Chiara & Penazzi, Stefano, 2015. "On the design of closed-loop networks for product life cycle management: Economic, environmental and geography considerations," Journal of Transport Geography, Elsevier, vol. 48(C), pages 121-134.
    14. Olapiriyakul, Sun & Nguyen, Thi T., 2019. "Land use and public health impact assessment in a supply chain network design problem: A case study," Journal of Transport Geography, Elsevier, vol. 75(C), pages 70-81.
    15. Shaikha Al-Nuaimi & Abdul-Aziz A. Banawi & Sami G. Al-Ghamdi, 2019. "Environmental and Economic Life Cycle Analysis of Primary Construction Materials Sourcing under Geopolitical Uncertainties: A Case Study of Qatar," Sustainability, MDPI, vol. 11(21), pages 1-26, October.
    16. Sung-Ho Shin & Oh Kyoung Kwon & Xiao Ruan & Prem Chhetri & Paul Tae-Woo Lee & Shahrooz Shahparvari, 2018. "Analyzing Sustainability Literature in Maritime Studies with Text Mining," Sustainability, MDPI, vol. 10(10), pages 1-19, September.
    17. De, Manoranjan & Giri, B.C., 2020. "Modelling a closed-loop supply chain with a heterogeneous fleet under carbon emission reduction policy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    18. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    19. Mustapha Anwar Brahami & Mohammed Dahane & Mehdi Souier & M’hammed Sahnoun, 2022. "Sustainable capacitated facility location/network design problem: a Non-dominated Sorting Genetic Algorithm based multiobjective approach," Annals of Operations Research, Springer, vol. 311(2), pages 821-852, April.
    20. Yip, Tsz Leung & Wong, Mei Chi, 2015. "The Nicaragua Canal: scenarios of its future roles," Journal of Transport Geography, Elsevier, vol. 43(C), pages 1-13.
    21. Rohmer, S.U.K. & Gerdessen, J.C. & Claassen, G.D.H., 2019. "Sustainable supply chain design in the food system with dietary considerations: A multi-objective analysis," European Journal of Operational Research, Elsevier, vol. 273(3), pages 1149-1164.
    22. Kannan Govindan & R. Sivakumar, 2016. "Green supplier selection and order allocation in a low-carbon paper industry: integrated multi-criteria heterogeneous decision-making and multi-objective linear programming approaches," Annals of Operations Research, Springer, vol. 238(1), pages 243-276, March.
    23. Jiangtao Hong & Chaher Alzaman & Ali Diabat & Akif Bulgak, 2019. "Sustainability dimensions and PM2.5 in supply chain logistics," Annals of Operations Research, Springer, vol. 275(2), pages 339-366, April.
    24. Volha Yakavenka & Ioannis Mallidis & Dimitrios Vlachos & Eleftherios Iakovou & Zafeiriou Eleni, 2020. "Development of a multi-objective model for the design of sustainable supply chains: the case of perishable food products," Annals of Operations Research, Springer, vol. 294(1), pages 593-621, November.
    25. Farnaz Barzinpour & Peyman Taki, 2018. "A dual-channel network design model in a green supply chain considering pricing and transportation mode choice," Journal of Intelligent Manufacturing, Springer, vol. 29(7), pages 1465-1483, October.
    26. Valentin Carlan & David Ceulemans & Edwin Hassel & Stijn Derammelaere & Thierry Vanelslander, 2023. "Automation in cargo loading/unloading processes: do unmanned loading technologies bring benefits when both purchase and operational cost are considered?," Journal of Shipping and Trade, Springer, vol. 8(1), pages 1-25, December.
    27. Li, Hui-Chieh, 2015. "Optimal delivery strategies considering carbon emissions, time-dependent demands and demand–supply interactions," European Journal of Operational Research, Elsevier, vol. 241(3), pages 739-748.
    28. Zakeri, Atefe & Dehghanian, Farzad & Fahimnia, Behnam & Sarkis, Joseph, 2015. "Carbon pricing versus emissions trading: A supply chain planning perspective," International Journal of Production Economics, Elsevier, vol. 164(C), pages 197-205.
    29. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    30. Liu, Qian & Zheng, Lucy, 2016. "Assessing the economic performance of an environmental sustainable supply chain in reducing environmental externalitiesAuthor-Name: Ding, Huiping," European Journal of Operational Research, Elsevier, vol. 255(2), pages 463-480.

  31. Pourakbar, Morteza & Dekker, Rommert, 2012. "Customer differentiated end-of-life inventory problem," European Journal of Operational Research, Elsevier, vol. 222(1), pages 44-53.
    See citations under working paper version above.
  32. Dekker, Rommert & Bloemhof, Jacqueline & Mallidis, Ioannis, 2012. "Operations Research for green logistics – An overview of aspects, issues, contributions and challenges," European Journal of Operational Research, Elsevier, vol. 219(3), pages 671-679.
    See citations under working paper version above.
  33. Ludo Waltman & Nees Eck & Rommert Dekker & Uzay Kaymak, 2011. "Economic modeling using evolutionary algorithms: the effect of a binary encoding of strategies," Journal of Evolutionary Economics, Springer, vol. 21(5), pages 737-756, December.
    See citations under working paper version above.
  34. Pinçe, Çerag & Dekker, Rommert, 2011. "An inventory model for slow moving items subject to obsolescence," European Journal of Operational Research, Elsevier, vol. 213(1), pages 83-95, August.
    See citations under working paper version above.
  35. van Jaarsveld, Willem & Dekker, Rommert, 2011. "Spare parts stock control for redundant systems using reliability centered maintenance data," Reliability Engineering and System Safety, Elsevier, vol. 96(11), pages 1576-1586.

    Cited by:

    1. Fritzsche, R., 2012. "Cost adjustment for single item pooling models using a dynamic failure rate: A calculation for the aircraft industry," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1065-1079.
    2. Farhadi, Mohammad & Shahrokhi, Mahmoud & Rahmati, Seyed Habib A, 2022. "Developing a supplier selection model based on Markov chain and probability tree for a k-out-of-N system with different quality of spare parts," Reliability Engineering and System Safety, Elsevier, vol. 222(C).
    3. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    4. Braglia, M. & Frosolini, M., 2013. "Virtual pooled inventories for equipment-intensive industries. An implementation in a paper district," Reliability Engineering and System Safety, Elsevier, vol. 112(C), pages 26-37.
    5. Sleptchenko, Andrei & van der Heijden, Matthieu, 2016. "Joint optimization of redundancy level and spare part inventories," Reliability Engineering and System Safety, Elsevier, vol. 153(C), pages 64-74.
    6. Barabadi, Abbas & Barabady, Javad & Markeset, Tore, 2014. "Application of reliability models with covariates in spare part prediction and optimization – A case study," Reliability Engineering and System Safety, Elsevier, vol. 123(C), pages 1-7.
    7. Godoy, David R. & Pascual, Rodrigo & Knights, Peter, 2013. "Critical spare parts ordering decisions using conditional reliability and stochastic lead time," Reliability Engineering and System Safety, Elsevier, vol. 119(C), pages 199-206.
    8. Zhu, Sha & van Jaarsveld, Willem & Dekker, Rommert, 2022. "Critical project planning and spare parts inventory management in shutdown maintenance," Reliability Engineering and System Safety, Elsevier, vol. 219(C).
    9. Zheng, Meimei & Ye, Hongqing & Wang, Dong & Pan, Ershun, 2021. "Joint Optimization of Condition-Based Maintenance and Spare Parts Orders for Multi-Unit Systems with Dual Sourcing," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    10. Ba, Kader & Dellagi, Sofiene & Rezg, Nidhal & Erray, Walid, 2016. "Joint optimization of preventive maintenance and spare parts inventory for an optimal production plan with consideration of CO2 emission," Reliability Engineering and System Safety, Elsevier, vol. 149(C), pages 172-186.

  36. van Jaarsveld, Willem & Dekker, Rommert, 2011. "Estimating obsolescence risk from demand data to enhance inventory control--A case study," International Journal of Production Economics, Elsevier, vol. 133(1), pages 423-431, September.

    Cited by:

    1. Hekimoğlu, Mustafa & Karlı, Deniz, 2023. "Modeling repair demand in existence of a nonstationary installed base," International Journal of Production Economics, Elsevier, vol. 263(C).
    2. Moon, Seongmin & Hicks, Christian & Simpson, Andrew, 2012. "The development of a hierarchical forecasting method for predicting spare parts demand in the South Korean Navy—A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 794-802.
    3. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    4. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    5. Zhu, Sha & van Jaarsveld, Willem & Dekker, Rommert, 2022. "Critical project planning and spare parts inventory management in shutdown maintenance," Reliability Engineering and System Safety, Elsevier, vol. 219(C).

  37. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.

    Cited by:

    1. Niknejad, A. & Petrovic, D., 2014. "Optimisation of integrated reverse logistics networks with different product recovery routes," European Journal of Operational Research, Elsevier, vol. 238(1), pages 143-154.
    2. Shuihua Han & Weina Ma & Ling Zhao & Xuelian Zhang & Ming K. Lim & Shuangyuan Yang & Stephen Leung, 2016. "A robust optimisation model for hybrid remanufacturing and manufacturing systems under uncertain return quality and market demand," International Journal of Production Research, Taylor & Francis Journals, vol. 54(17), pages 5056-5072, September.
    3. Senlin Zhao & Qinghua Zhu, 2017. "Remanufacturing supply chain coordination under the stochastic remanufacturability rate and the random demand," Annals of Operations Research, Springer, vol. 257(1), pages 661-695, October.
    4. Chung, Chun-Jen & Wee, Hui-Ming, 2011. "Short life-cycle deteriorating product remanufacturing in a green supply chain inventory control system," International Journal of Production Economics, Elsevier, vol. 129(1), pages 195-203, January.
    5. Sifaleras, Angelo & Konstantaras, Ioannis & Mladenović, Nenad, 2015. "Variable neighborhood search for the economic lot sizing problem with product returns and recovery," International Journal of Production Economics, Elsevier, vol. 160(C), pages 133-143.
    6. Hazen, Benjamin T. & Overstreet, Robert E. & Jones-Farmer, L. Allison & Field, Hubert S., 2012. "The role of ambiguity tolerance in consumer perception of remanufactured products," International Journal of Production Economics, Elsevier, vol. 135(2), pages 781-790.
    7. Sabharwal, Srishti & Garg, Suresh, 2013. "Determining cost effectiveness index of remanufacturing: A graph theoretic approach," International Journal of Production Economics, Elsevier, vol. 144(2), pages 521-532.
    8. Huang, Ximin & Choi, Sin-Man & Ching, Wai-Ki & Siu, Tak-Kuen & Huang, Min, 2011. "On supply chain coordination for false failure returns: A quantity discount contract approach," International Journal of Production Economics, Elsevier, vol. 133(2), pages 634-644, October.
    9. Polotski, Vladimir & Kenne, Jean-Pierre & Gharbi, Ali, 2017. "Production and setup policy optimization for hybrid manufacturing–remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 322-333.

  38. Nees Jan van Eck & Ludo Waltman & Rommert Dekker & Jan van den Berg, 2010. "A comparison of two techniques for bibliometric mapping: Multidimensional scaling and VOS," Journal of the American Society for Information Science and Technology, Association for Information Science & Technology, vol. 61(12), pages 2405-2416, December.

    Cited by:

    1. Mas-Tur, Alicia & Roig-Tierno, Norat & Sarin, Shikhar & Haon, Christophe & Sego, Trina & Belkhouja, Mustapha & Porter, Alan & Merigó, José M., 2021. "Co-citation, bibliographic coupling and leading authors, institutions and countries in the 50 years of Technological Forecasting and Social Change," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    2. Gisleine Carmo & Luiz Flávio Felizardo & Valderí Castro Alcântara & Cristiane Aparecida Silva & José Willer Prado, 2023. "The impact of Jürgen Habermas’s scientific production: a scientometric review," Scientometrics, Springer;Akadémiai Kiadó, vol. 128(3), pages 1853-1875, March.
    3. Filippo Corsini & Rafael Laurenti & Franziska Meinherz & Francesco Appio & Luca Mora, 2019. "The Advent of Practice Theories in Research on Sustainable Consumption: Past, Current and Future Directions of the Field," Post-Print halshs-02292337, HAL.
    4. Shiji Chen & Clément Arsenault & Yves Gingras & Vincent Larivière, 2015. "Exploring the interdisciplinary evolution of a discipline: the case of Biochemistry and Molecular Biology," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1307-1323, February.
    5. Jakub Rybacki, 2019. "Are Central Banks' Research Teams Fragile Because of Groupthink?," KAE Working Papers 2019-045, Warsaw School of Economics, Collegium of Economic Analysis.
    6. Marta Ortiz-de-Urbina-Criado & Juan-José Nájera-Sánchez & Eva-María Mora-Valentín, 2018. "A Research Agenda on Open Innovation and Entrepreneurship: A Co-Word Analysis," Administrative Sciences, MDPI, vol. 8(3), pages 1-17, July.
    7. Rizzi, Francesco & van Eck, Nees Jan & Frey, Marco, 2014. "The production of scientific knowledge on renewable energies: Worldwide trends, dynamics and challenges and implications for management," Renewable Energy, Elsevier, vol. 62(C), pages 657-671.
    8. Nina Sakinah Ahmad Rofaie & Seuk Wai Phoong & Muzalwana Abdul Talib & Ainin Sulaiman, 2023. "Light-emitting diode (LED) research: A bibliometric analysis during 2003–2018," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(1), pages 173-191, February.
    9. Manuel Castriotta & Michela Loi & Elona Marku & Ludovica Moi, 2021. "Disentangling the corporate entrepreneurship construct: conceptualizing through co-words," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 2821-2863, April.
    10. Cathelijn J. F. Waaijer & Cornelis A. Bochove & Nees Jan Eck, 2011. "On the map: Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 86(1), pages 99-112, January.
    11. María Pinto & Rosaura Fernández-Pascual & David Caballero-Mariscal & Dora Sales, 2020. "Information literacy trends in higher education (2006–2019): visualizing the emerging field of mobile information literacy," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(2), pages 1479-1510, August.
    12. Tommaso Ciarli & Ismael Ràfols, 2018. "The Relation Between Research Priorities and Societal Demands: The Case of Rice," SPRU Working Paper Series 2018-12, SPRU - Science Policy Research Unit, University of Sussex Business School.
    13. David Berlepsch & Fred Lemke & Matthew Gorton, 2024. "The Importance of Corporate Reputation for Sustainable Supply Chains: A Systematic Literature Review, Bibliometric Mapping, and Research Agenda," Journal of Business Ethics, Springer, vol. 189(1), pages 9-34, January.
    14. Tomasz Ingram & Monika Wieczorek-Kosmala & Karel Hlaváček, 2023. "Organizational Resilience as a Response to the Energy Crisis: Systematic Literature Review," Energies, MDPI, vol. 16(2), pages 1-35, January.
    15. Dehua Gao & Aliakbar Akbaritabar, 2022. "Using agent-based modeling in routine dynamics research: a quantitative and content analysis of literature," Review of Managerial Science, Springer, vol. 16(2), pages 521-550, February.
    16. Daniel M. Ringel & Bernd Skiera, 2016. "Visualizing Asymmetric Competition Among More Than 1,000 Products Using Big Search Data," Marketing Science, INFORMS, vol. 35(3), pages 511-534, May.
    17. Sarin, Shikhar & Haon, Christophe & Belkhouja, Mustapha & Mas-Tur, Alicia & Roig-Tierno, Norat & Sego, Trina & Porter, Alan & Merigó, José M. & Carley, Stephen, 2020. "Uncovering the knowledge flows and intellectual structures of research in Technological Forecasting and Social Change: A journey through history," Technological Forecasting and Social Change, Elsevier, vol. 160(C).
    18. Francesco Paolo Appio & Fabrizio Cesaroni & Alberto Minin, 2014. "Visualizing the structure and bridges of the intellectual property management and strategy literature: a document co-citation analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 101(1), pages 623-661, October.
    19. Yang Liu & Jianjun Dong & Ling Shen, 2020. "A Conceptual Development Framework for Prefabricated Construction Supply Chain Management: An Integrated Overview," Sustainability, MDPI, vol. 12(5), pages 1-29, March.
    20. María Teresa Bastanchury-López & Carmen De-Pablos-Heredero, 2022. "A Bibliometric Analysis on Smart Cities Related to Land Use," Land, MDPI, vol. 11(12), pages 1-21, November.
    21. Andy Wai Kan Yeung & Ioana Mozos, 2020. "The Innovative and Sustainable Use of Dental Panoramic Radiographs for the Detection of Osteoporosis," IJERPH, MDPI, vol. 17(7), pages 1-11, April.
    22. Leo Capari & Harald Wilfing & Andreas Exner & Thomas Höflehner & Daniela Haluza, 2022. "Cooling the City? A Scientometric Study on Urban Green and Blue Infrastructure and Climate Change-Induced Public Health Effects," Sustainability, MDPI, vol. 14(9), pages 1-19, April.
    23. Perez-Vega, Rodrigo & Hopkinson, Paul & Singhal, Aishwarya & Mariani, Marcello M., 2022. "From CRM to social CRM: A bibliometric review and research agenda for consumer research," Journal of Business Research, Elsevier, vol. 151(C), pages 1-16.
    24. Sara Sassetti & Giacomo Marzi & Vincenzo Cavaliere & Cristiano Ciappei, 2018. "Entrepreneurial cognition and socially situated approach: a systematic and bibliometric analysis," Scientometrics, Springer;Akadémiai Kiadó, vol. 116(3), pages 1675-1718, September.
    25. Tomasz Zema & Adam Sulich, 2022. "Models of Electricity Price Forecasting: Bibliometric Research," Energies, MDPI, vol. 15(15), pages 1-18, August.
    26. Morteza Akbari & Hamid Padash & Zahra Shahabaldini Parizi & Haniye Rezaei & Elmira Shahriari & Ala Khosravani, 2022. "A bibliometric review of green innovation research: identifying knowledge domain and network," Quality & Quantity: International Journal of Methodology, Springer, vol. 56(6), pages 3993-4023, December.
    27. Adam Kozakiewicz & Andrzej Lis, 2021. "Energy Efficiency in Cloud Computing: Exploring the Intellectual Structure of the Research Field and Its Research Fronts with Direct Citation Analysis," Energies, MDPI, vol. 14(21), pages 1-17, October.
    28. Lima, Pedro G. & Teixeira, Pedro N. & Silva, Sandra T., 2021. "Major Streams in the Economics of Inequality: A Qualitative and Quantitative Analysis of the Literature since 1950s," IZA Discussion Papers 14777, Institute of Labor Economics (IZA).
    29. Evi Sachini & Nikolaos Karampekios & Pierpaolo Brutti & Konstantinos Sioumalas-Christodoulou, 2020. "Should I stay or should I go? Using bibliometrics to identify the international mobility of highly educated Greek manpower," Scientometrics, Springer;Akadémiai Kiadó, vol. 125(1), pages 641-663, October.
    30. Ekaterina N. Nevzorova & Samo Bobek & Anna P. Kireenko & Roman A. Sklyarov, 2016. "Tax evasion: the discourse among government, business and science community based on bibliometric analysis," Journal of Tax Reform, Graduate School of Economics and Management, Ural Federal University, vol. 2(3), pages 227-244.
    31. Johanna Andrea Navarro-Espinosa & Manuel Vaquero-Abellán & Alberto-Jesús Perea-Moreno & Gerardo Pedrós-Pérez & Maria del Pilar Martínez-Jiménez & Pilar Aparicio-Martínez, 2022. "Gamification as a Promoting Tool of Motivation for Creating Sustainable Higher Education Institutions," IJERPH, MDPI, vol. 19(5), pages 1-20, February.
    32. María del Pilar Casado-Belmonte & Gema María Marín-Carrillo & Eduardo Terán-Yépez & María de las Mercedes Capobianco-Uriarte, 2020. "What Is Going on with the Research into the Internationalization of Small and Medium-Sized Enterprises (SMEs)? An Intellectual Structure Analysis into the State-of-the-Art (1990–2018)," Publications, MDPI, vol. 8(1), pages 1-30, February.
    33. David Swanson & Luis Santamaria, 2021. "Pandemic Supply Chain Research: A Structured Literature Review and Bibliometric Network Analysis," Logistics, MDPI, vol. 5(1), pages 1-22, January.
    34. Xiaozan Lyu & Rodrigo Costas, 2020. "How do academic topics shift across altmetric sources? A case study of the research area of Big Data," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(2), pages 909-943, May.
    35. Israel R. Orimoloye & Olusola O. Ololade, 2021. "Global trends assessment of environmental health degradation studies from 1990 to 2018," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 23(3), pages 3251-3264, March.
    36. Claudia Patricia Maldonado-Erazo & José Álvarez-García & María de la Cruz del Río-Rama & Amador Durán-Sánchez, 2021. "Scientific Mapping on the Impact of Climate Change on Cultural and Natural Heritage: A Systematic Scientometric Analysis," Land, MDPI, vol. 10(1), pages 1-19, January.
    37. Ole Ellegaard & Johan A. Wallin, 2015. "The bibliometric analysis of scholarly production: How great is the impact?," Scientometrics, Springer;Akadémiai Kiadó, vol. 105(3), pages 1809-1831, December.
    38. Philip Hallinger, 2021. "A Meta-Synthesis of Bibliometric Reviews of Research on Managing for Sustainability, 1982–2019," Sustainability, MDPI, vol. 13(6), pages 1-22, March.
    39. Ahmed Zainul Abideen & Veera Pandiyan Kaliani Sundram & Shahryar Sorooshian, 2023. "Scope for Sustainable Development of Small Holder Farmers in the Palm Oil Supply Chain—A Systematic Literature Review and Thematic Scientific Mapping," Logistics, MDPI, vol. 7(1), pages 1-24, January.
    40. Joselyne Solórzano & Fernando Morante-Carballo & Néstor Montalván-Burbano & Josué Briones-Bitar & Paúl Carrión-Mero, 2022. "A Systematic Review of the Relationship between Geotechnics and Disasters," Sustainability, MDPI, vol. 14(19), pages 1-31, October.
    41. Paúl Carrión-Mero & Néstor Montalván-Burbano & Fernando Morante-Carballo & Adolfo Quesada-Román & Boris Apolo-Masache, 2021. "Worldwide Research Trends in Landslide Science," IJERPH, MDPI, vol. 18(18), pages 1-24, September.
    42. Belussi, Fiorenza & Orsi, Luigi & Savarese, Maria, 2019. "Mapping Business Model Research: A Document Bibliometric Analysis," Scandinavian Journal of Management, Elsevier, vol. 35(3).
    43. Myriam Ertz & Sébastien Leblanc-Proulx, 2019. "Review of a proposed methodology for bibliometric and visualization analyses for organizations: application to the collaboration economy," Journal of Marketing Analytics, Palgrave Macmillan, vol. 7(2), pages 84-93, June.
    44. Holman Ospina-Mateus & Leonardo Augusto Quintana Jiménez & Francisco J. Lopez-Valdes & Katherinne Salas-Navarro, 2019. "Bibliometric analysis in motorcycle accident research: a global overview," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(2), pages 793-815, November.
    45. María Pinto & Antonio Pulgarín & M. Isabel Escalona, 2014. "Viewing information literacy concepts: a comparison of two branches of knowledge," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 2311-2329, March.
    46. Lim, Weng Marc & Rasul, Tareq & Kumar, Satish & Ala, Mamun, 2022. "Past, present, and future of customer engagement," Journal of Business Research, Elsevier, vol. 140(C), pages 439-458.
    47. Shuya Tang & Chunhui Wang & Jing Song & Stanley Chukwuemeka Ihenetu & Gang Li, 2024. "Advances in Studies on Heavy Metals in Urban Soil: A Bibliometric Analysis," Sustainability, MDPI, vol. 16(2), pages 1-24, January.
    48. Francisco García-Lillo & Enrique Claver-Cortés & Bartolomé Marco-Lajara & Mercedes Úbeda-García, 2017. "Mapping the Intellectual Structure of Research on ‘Born Global’ Firms and INVs: A Citation/Co-citation Analysis," Management International Review, Springer, vol. 57(4), pages 631-652, August.
    49. Eduardo Terán-Yépez & David Jiménez-Castillo & Manuel Sánchez-Pérez, 2021. "International opportunity recognition: A comprehensive bibliometric review," Journal of International Entrepreneurship, Springer, vol. 19(1), pages 18-52, March.
    50. Letycja Sołoducho-Pelc & Adam Sulich, 2022. "Natural Environment Protection Strategies and Green Management Style: Literature Review," Sustainability, MDPI, vol. 14(17), pages 1-25, August.
    51. Ying Huang & Wolfgang Glänzel & Lin Zhang, 2021. "Tracing the development of mapping knowledge domains," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(7), pages 6201-6224, July.
    52. Mehmet Ali Köseoglu & John A. Parnell & Melissa Yan Yee Yick, 2021. "Identifying influential studies and maturity level in intellectual structure of fields: evidence from strategic management," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(2), pages 1271-1309, February.
    53. Yakath Ali, Nurul Syuhadah & Yu, Chunyan & See, Kok Fong, 2021. "Four decades of airline productivity and efficiency studies: A review and bibliometric analysis," Journal of Air Transport Management, Elsevier, vol. 96(C).
    54. Ludo Waltman & Nees Jan Eck, 2012. "A new methodology for constructing a publication-level classification system of science," Journal of the Association for Information Science & Technology, Association for Information Science & Technology, vol. 63(12), pages 2378-2392, December.
    55. Castillo-Vergara, Mauricio & Alvarez-Marin, Alejandro & Placencio-Hidalgo, Dario, 2018. "A bibliometric analysis of creativity in the field of business economics," Journal of Business Research, Elsevier, vol. 85(C), pages 1-9.
    56. Montecchi, Matteo & Plangger, Kirk & West, Douglas C., 2021. "Supply chain transparency: A bibliometric review and research agenda," International Journal of Production Economics, Elsevier, vol. 238(C).
    57. Sattwik Mohanty & Prabu Christopher B, 2023. "A bibliometric analysis of the use of the Gamification Octalysis Framework in training: evidence from Web of Science," Palgrave Communications, Palgrave Macmillan, vol. 10(1), pages 1-14, December.
    58. María de la Cruz del Río-Rama & Claudia Patricia Maldonado-Erazo & José Álvarez-García & Amador Durán-Sánchez, 2020. "Cultural and Natural Resources in Tourism Island: Bibliometric Mapping," Sustainability, MDPI, vol. 12(2), pages 1-26, January.
    59. Fernando Zambrano Farias & María del Carmen Valls Martínez & Pedro Antonio Martín-Cervantes, 2021. "Explanatory Factors of Business Failure: Literature Review and Global Trends," Sustainability, MDPI, vol. 13(18), pages 1-26, September.
    60. Leydesdorff, Loet & Rafols, Ismael, 2012. "Interactive overlays: A new method for generating global journal maps from Web-of-Science data," Journal of Informetrics, Elsevier, vol. 6(2), pages 318-332.
    61. María Pinto & M. Isabel Escalona & Antonio Pulgarín & Alejandro Uribe-Tirado, 2015. "The scientific production of Ibero-American authors on information literacy (1985–2013)," Scientometrics, Springer;Akadémiai Kiadó, vol. 102(2), pages 1555-1576, February.
    62. Christopher Münch & Heiko A. von der Gracht, 2021. "A bibliometric review of scientific theory in futures and foresight: A commentary on Fergnani and Chermack 2021," Futures & Foresight Science, John Wiley & Sons, vol. 3(3-4), September.
    63. Loet Leydesdorff & Duncan Kushnir & Ismael Rafols, 2014. "Interactive overlay maps for US patent (USPTO) data based on International Patent Classification (IPC)," Scientometrics, Springer;Akadémiai Kiadó, vol. 98(3), pages 1583-1599, March.
    64. Vijay Pereira & Umesh Bamel, 2023. "Charting the managerial and theoretical evolutionary path of AHP using thematic and systematic review: a decadal (2012–2021) study," Annals of Operations Research, Springer, vol. 326(2), pages 635-651, July.
    65. Rachel Einecker & Andrew Kirby, 2020. "Climate Change: A Bibliometric Study of Adaptation, Mitigation and Resilience," Sustainability, MDPI, vol. 12(17), pages 1-16, August.
    66. Henk F. Moed, 2016. "Iran’s scientific dominance and the emergence of South-East Asian countries as scientific collaborators in the Persian Gulf Region," Scientometrics, Springer;Akadémiai Kiadó, vol. 108(1), pages 305-314, July.
    67. Andrew Kirby, 2023. "Exploratory Bibliometrics: Using VOSviewer as a Preliminary Research Tool," Publications, MDPI, vol. 11(1), pages 1-14, February.
    68. Chiemela Victor Amaechi & Idris Ahmed Ja’e & Ahmed Reda & Xuanze Ju, 2022. "Scientometric Review and Thematic Areas for the Research Trends on Marine Hoses," Energies, MDPI, vol. 15(20), pages 1-31, October.
    69. Saeed Samiee & Brian R. Chabowski, 2021. "Knowledge structure in product- and brand origin–related research," Journal of the Academy of Marketing Science, Springer, vol. 49(5), pages 947-968, September.
    70. van Eck, Nees Jan & Waltman, Ludo, 2014. "CitNetExplorer: A new software tool for analyzing and visualizing citation networks," Journal of Informetrics, Elsevier, vol. 8(4), pages 802-823.
    71. Jakub Rybacki, 2020. "Are Central Banks’ Research Teams Fragile Because of Groupthink in the Area of Monetary Policy? – Evidence on Inflation Targeting," Gospodarka Narodowa. The Polish Journal of Economics, Warsaw School of Economics, issue 4, pages 81-103.
    72. Vyacheslav VOLCHIK & Elena MASLYUKOVA & Wadim STRIELKOWSKI, 2021. "Youth Labour Market Precarization In Regional And Urban Centres," Theoretical and Empirical Researches in Urban Management, Research Centre in Public Administration and Public Services, Bucharest, Romania, vol. 16(4), pages 5-19, November.
    73. Ya Sun & Qiong Wang, 2023. "Mapping the Field of Register Studies: A Bibliometric Analysis," SAGE Open, , vol. 13(4), pages 21582440231, December.
    74. Joanna Samul, 2019. "Spiritual Leadership: Meaning in the Sustainable Workplace," Sustainability, MDPI, vol. 12(1), pages 1-16, December.
    75. Tang, Jinjun & Zhang, Shen & Zhang, Wenhui & Liu, Fang & Zhang, Weibin & Wang, Yinhai, 2016. "Statistical properties of urban mobility from location-based travel networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 461(C), pages 694-707.
    76. Ana De Las Heras & Amalia Luque-Sendra & Francisco Zamora-Polo, 2020. "Machine Learning Technologies for Sustainability in Smart Cities in the Post-COVID Era," Sustainability, MDPI, vol. 12(22), pages 1-25, November.
    77. Adrián Kovács & Bart Looy & Bruno Cassiman, 2015. "Exploring the scope of open innovation: a bibliometric review of a decade of research," Scientometrics, Springer;Akadémiai Kiadó, vol. 104(3), pages 951-983, September.
    78. Rodolfo Modrigais Strauss Nunes & Susana Carla Farias Pereira, 2022. "Intellectual structure and trends in the humanitarian operations field," Annals of Operations Research, Springer, vol. 319(1), pages 1099-1157, December.
    79. Lingaitienė Olga & Burinskienė Aurelija, 2023. "Formation the links between circularity and sustainability in the circular economy," Logistics, Supply Chain, Sustainability and Global Challenges, Sciendo, vol. 14(1), pages 1-20, December.
    80. Elizaveta Gavrikova & Irina Volkova & Yegor Burda, 2020. "Strategic Aspects of Asset Management: An Overview of Current Research," Sustainability, MDPI, vol. 12(15), pages 1-31, July.
    81. María Guadalupe Montiel-Hernández & Carla Carolina Pérez-Hernández & Blanca Cecilia Salazar-Hernández, 2024. "The Intrinsic Links of Economic Complexity with Sustainability Dimensions: A Systematic Review and Agenda for Future Research," Sustainability, MDPI, vol. 16(1), pages 1-26, January.
    82. Guindalini, Camila & Verreynne, Martie-Louise & Kastelle, Tim, 2021. "Taking scientific inventions to market: Mapping the academic entrepreneurship ecosystem," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    83. Robertson, Jeandri & Pitt, Leyland & Ferreira, Caitlin, 2020. "Entrepreneurial ecosystems and the public sector: A bibliographic analysis," Socio-Economic Planning Sciences, Elsevier, vol. 72(C).
    84. Raphaël Maucuer & Alexandre Renaud, 2019. "Business Model Research: A Bibliometric Analysis of Origins and Trends," Post-Print hal-01918188, HAL.
    85. Claudia Patricia Maldonado-Erazo & María de la Cruz del Río-Rama & José Álvarez-García & Ana Carola Flores-Mancheno, 2022. "Use of Natural and Cultural Resources by Tourism as a Strategy for Regional Development: Bibliometric Analysis," Land, MDPI, vol. 11(8), pages 1-18, July.
    86. Aliakbar Akbaritabar & Vincent Antonio Traag & Alberto Caimo & Flaminio Squazzoni, 2020. "Italian sociologists: a community of disconnected groups," Scientometrics, Springer;Akadémiai Kiadó, vol. 124(3), pages 2361-2382, September.
    87. Adam Sulich & Letycja Sołoducho-Pelc, 2022. "Changes in Energy Sector Strategies: A Literature Review," Energies, MDPI, vol. 15(19), pages 1-26, September.
    88. Rahman, A.I.M. Jakaria & Guns, Raf & Rousseau, Ronald & Engels, Tim C.E., 2015. "Is the expertise of evaluation panels congruent with the research interests of the research groups: A quantitative approach based on barycenters," Journal of Informetrics, Elsevier, vol. 9(4), pages 704-721.
    89. A. I. M. Jakaria Rahman & Raf Guns & Loet Leydesdorff & Tim C. E. Engels, 2016. "Measuring the match between evaluators and evaluees: cognitive distances between panel members and research groups at the journal level," Scientometrics, Springer;Akadémiai Kiadó, vol. 109(3), pages 1639-1663, December.
    90. Galletta, Simona & Mazzù, Sebastiano & Naciti, Valeria, 2022. "A bibliometric analysis of ESG performance in the banking industry: From the current status to future directions," Research in International Business and Finance, Elsevier, vol. 62(C).
    91. Luz M. Romo-Fernández & Vicente P. Guerrero-Bote & Félix Moya-Anegón, 2013. "Co-word based thematic analysis of renewable energy (1990–2010)," Scientometrics, Springer;Akadémiai Kiadó, vol. 97(3), pages 743-765, December.
    92. Valeria Naciti & Fabrizio Cesaroni & Luisa Pulejo, 2022. "Corporate governance and sustainability: a review of the existing literature," Journal of Management & Governance, Springer;Accademia Italiana di Economia Aziendale (AIDEA), vol. 26(1), pages 55-74, March.
    93. Hana Tomaskova & Martin Kopecky, 2020. "Specialization of Business Process Model and Notation Applications in Medicine—A Review," Data, MDPI, vol. 5(4), pages 1-42, October.
    94. Changlong Sun & Yongli Zhang & Wenwen Ma & Rong Wu & Shaojian Wang, 2022. "The Impacts of Urban Form on Carbon Emissions: A Comprehensive Review," Land, MDPI, vol. 11(9), pages 1-20, August.
    95. Cathelijn J. F. Waaijer, 2013. "Careers in science: policy issues according to Nature and Science editorials," Scientometrics, Springer;Akadémiai Kiadó, vol. 96(2), pages 485-495, August.
    96. Juan J. Nájera-Sánchez, 2019. "A Systematic Review of Sustainable Banking through a Co-Word Analysis," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    97. Ming Hu & Mitchell Pavao-Zuckerman, 2019. "Literature Review of Net Zero and Resilience Research of the Urban Environment: A Citation Analysis Using Big Data," Energies, MDPI, vol. 12(8), pages 1-16, April.
    98. Nan-Chieh Huang & Yu-Lung Wu & Ren-Fang Chao, 2022. "Visualization and Bibliometric Analysis of Research Trends on Hyperbaric Oxygen Therapy," IJERPH, MDPI, vol. 19(13), pages 1-14, June.
    99. Jungjoon Kim & Sangpil Lee & We Shim & Jongseok Kang, 2016. "A Mapping of Marine Biodiversity Research Trends and Collaboration in the East Asia Region from 1996–2015," Sustainability, MDPI, vol. 8(10), pages 1-17, October.
    100. Walaa Wahid ElKelish*, 2023. "Accounting for Corporate Human Rights: Literature Review and Future Insights," Australian Accounting Review, CPA Australia, vol. 33(2), pages 203-226, June.
    101. Meng Lv & Shaohong Feng, 2021. "Temporary teams: current research focus and future directions," Quality & Quantity: International Journal of Methodology, Springer, vol. 55(1), pages 1-18, February.

  39. Pourakbar, Morteza & Sleptchenko, Andrei & Dekker, Rommert, 2009. "The floating stock policy in fast moving consumer goods supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 39-49, January.

    Cited by:

    1. Noha A. Mostafa & Omar Eldebaiky, 2023. "A Sustainable Two-Echelon Logistics Model with Shipment Consolidation," Logistics, MDPI, vol. 7(1), pages 1-14, March.
    2. Rob A. Zuidwijk & Albert W. Veenstra, 2015. "The Value of Information in Container Transport," Transportation Science, INFORMS, vol. 49(3), pages 675-685, August.
    3. Zhengyi Li, 2019. "Optimal Utilization of Ports’ Free-of-Charge Times in One Distribution Center and Multiple Ports Inventory Systems," Complexity, Hindawi, vol. 2019, pages 1-12, February.
    4. Choi, Tsan-Ming, 2013. "Local sourcing and fashion quick response system: The impacts of carbon footprint tax," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 55(C), pages 43-54.
    5. Péter Bajor & Adrián Horváth, 2008. "The role of decision-making parameters in constructing and re-engineering of distribution networks," Proceedings Papers of Business Sciences: Symposium for Young Researchers (FIKUSZ) 2008, in: László Áron Kóczy (ed.),FIKUSZ 2008 Business Sciences - Symposium for Young Researchers: Proceedings, pages 55-63, Óbuda University, Keleti Faculty of Business and Management.
    6. Yu, Vincent F. & Aloina, Grace & Eccarius, Timo, 2023. "Adoption intentions of home-refill delivery service for fast-moving consumer goods," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).

  40. Kroon, Leo & Maróti, Gábor & Helmrich, Mathijn Retel & Vromans, Michiel & Dekker, Rommert, 2008. "Stochastic improvement of cyclic railway timetables," Transportation Research Part B: Methodological, Elsevier, vol. 42(6), pages 553-570, July.
    See citations under working paper version above.
  41. Teunter, Ruud & Dekker, Rommert, 2008. "An easy derivation of the order level optimality condition for inventory systems with backordering," International Journal of Production Economics, Elsevier, vol. 114(1), pages 201-204, July.

    Cited by:

    1. Rossetti, Manuel D. & Yasin Ünlü, 2011. "Evaluating the robustness of lead time demand models," International Journal of Production Economics, Elsevier, vol. 134(1), pages 159-176, November.

  42. Porras, Eric & Dekker, Rommert, 2008. "A solution method for the joint replenishment problem with correction factor," International Journal of Production Economics, Elsevier, vol. 113(2), pages 834-851, June.

    Cited by:

    1. Stefanny Ramirez & Laurence H. Brandenburg & Dario Bauso, 2023. "Coordinated Replenishment Game and Learning Under Time Dependency and Uncertainty of the Parameters," Dynamic Games and Applications, Springer, vol. 13(1), pages 326-352, March.
    2. Amaya, Ciro Alberto & Carvajal, Jimmy & Castaño, Fabian, 2013. "A heuristic framework based on linear programming to solve the constrained joint replenishment problem (C-JRP)," International Journal of Production Economics, Elsevier, vol. 144(1), pages 243-247.
    3. Young Hyeon Yang & Jong Soo Kim, 2020. "An adaptive joint replenishment policy for items with non-stationary demands," Operational Research, Springer, vol. 20(3), pages 1665-1684, September.
    4. Tsai, Chieh-Yuan & Tsai, Chi-Yang & Huang, Po-Wen, 2009. "An association clustering algorithm for can-order policies in the joint replenishment problem," International Journal of Production Economics, Elsevier, vol. 117(1), pages 30-41, January.
    5. Zhang, Ren-Qian, 2012. "An extension of partial backordering EOQ with correlated demand caused by cross-selling considering multiple minor items," European Journal of Operational Research, Elsevier, vol. 220(3), pages 876-881.
    6. Eksler, Leonid & Aviram, Roei & Elalouf, Amir & Kamble, Aakash, 2018. "An EOQ model for multiple products with varying degrees of substitutability," Economics Discussion Papers 2018-77, Kiel Institute for the World Economy (IfW Kiel).
    7. Dawande, Milind & Gavirneni, Srinagesh & Naranpanawe, Sanjeewa & Sethi, Suresh P., 2009. "Discrete forecast horizons for two-product variants of the dynamic lot-size problem," International Journal of Production Economics, Elsevier, vol. 120(2), pages 430-436, August.

  43. Porras, Eric & Dekker, Rommert, 2008. "An inventory control system for spare parts at a refinery: An empirical comparison of different re-order point methods," European Journal of Operational Research, Elsevier, vol. 184(1), pages 101-132, January.

    Cited by:

    1. Nenes, George & Panagiotidou, Sofia & Tagaras, George, 2010. "Inventory management of multiple items with irregular demand: A case study," European Journal of Operational Research, Elsevier, vol. 205(2), pages 313-324, September.
    2. A A Syntetos & J E Boylan & S M Disney, 2009. "Forecasting for inventory planning: a 50-year review," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 149-160, May.
    3. Teunter, Ruud H. & Syntetos, Aris A. & Zied Babai, M., 2011. "Intermittent demand: Linking forecasting to inventory obsolescence," European Journal of Operational Research, Elsevier, vol. 214(3), pages 606-615, November.
    4. Azizah Aisyati & Wakhid Ahmad Jauhari & Cucuk Nur Rosyidi, 2014. "Periodic Review Model for Determining Inventory Policy for Aircraft Consumable Spare Parts," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 5(3), pages 41-51, June.
    5. Babai, Zied & Boylan, John E. & Kolassa, Stephan & Nikolopoulos, Konstantinos, 2016. "Supply chain forecasting: Theory, practice, their gap and the futureAuthor-Name: Syntetos, Aris A," European Journal of Operational Research, Elsevier, vol. 252(1), pages 1-26.
    6. Babai, M.Z. & Jemai, Z. & Dallery, Y., 2011. "Analysis of order-up-to-level inventory systems with compound Poisson demand," European Journal of Operational Research, Elsevier, vol. 210(3), pages 552-558, May.
    7. Romeijnders, Ward & Teunter, Ruud & van Jaarsveld, Willem, 2012. "A two-step method for forecasting spare parts demand using information on component repairs," European Journal of Operational Research, Elsevier, vol. 220(2), pages 386-393.
    8. Hu, Qiwei & Boylan, John E. & Chen, Huijing & Labib, Ashraf, 2018. "OR in spare parts management: A review," European Journal of Operational Research, Elsevier, vol. 266(2), pages 395-414.
    9. K Nikolopoulos & A A Syntetos & J E Boylan & F Petropoulos & V Assimakopoulos, 2011. "An aggregate–disaggregate intermittent demand approach (ADIDA) to forecasting: an empirical proposition and analysis," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 544-554, March.
    10. Petropoulos, Fotios & Apiletti, Daniele & Assimakopoulos, Vassilios & Babai, Mohamed Zied & Barrow, Devon K. & Ben Taieb, Souhaib & Bergmeir, Christoph & Bessa, Ricardo J. & Bijak, Jakub & Boylan, Joh, 2022. "Forecasting: theory and practice," International Journal of Forecasting, Elsevier, vol. 38(3), pages 705-871.
      • Fotios Petropoulos & Daniele Apiletti & Vassilios Assimakopoulos & Mohamed Zied Babai & Devon K. Barrow & Souhaib Ben Taieb & Christoph Bergmeir & Ricardo J. Bessa & Jakub Bijak & John E. Boylan & Jet, 2020. "Forecasting: theory and practice," Papers 2012.03854, arXiv.org, revised Jan 2022.
    11. Hasni, M. & Aguir, M.S. & Babai, M.Z. & Jemai, Z., 2019. "On the performance of adjusted bootstrapping methods for intermittent demand forecasting," International Journal of Production Economics, Elsevier, vol. 216(C), pages 145-153.
    12. Feyzan Arikan & Senay Citak, 2017. "Multiple Criteria Inventory Classification in an Electronics Firm," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 16(02), pages 315-331, March.
    13. Zhu, S. & van Jaarsveld, W.L. & Dekker, R., 2019. "Spare Parts Inventory Control based on Maintenance Planning," Econometric Institute Research Papers EI2019-02, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    14. Lengu, D. & Syntetos, A.A. & Babai, M.Z., 2014. "Spare parts management: Linking distributional assumptions to demand classification," European Journal of Operational Research, Elsevier, vol. 235(3), pages 624-635.
    15. Boylan, John E. & Babai, M. Zied, 2022. "Estimating the cumulative distribution function of lead-time demand using bootstrapping with and without replacement," International Journal of Production Economics, Elsevier, vol. 252(C).
    16. Pierre Dodin & Jingyi Xiao & Yossiri Adulyasak & Neda Etebari Alamdari & Lea Gauthier & Philippe Grangier & Paul Lemaitre & William L. Hamilton, 2023. "Bombardier Aftermarket Demand Forecast with Machine Learning," Interfaces, INFORMS, vol. 53(6), pages 425-445, November.
    17. Pennings, Clint L.P. & van Dalen, Jan & van der Laan, Erwin A., 2017. "Exploiting elapsed time for managing intermittent demand for spare parts," European Journal of Operational Research, Elsevier, vol. 258(3), pages 958-969.
    18. Pinçe, Çerağ & Turrini, Laura & Meissner, Joern, 2021. "Intermittent demand forecasting for spare parts: A Critical review," Omega, Elsevier, vol. 105(C).
    19. Lindsey, Matthew & Pavur, Robert, 2009. "Prediction intervals for future demand of existing products with an observed demand of zero," International Journal of Production Economics, Elsevier, vol. 119(1), pages 75-89, May.
    20. Grzegorz Chodak, 0. "The problem of shelf-warmers in electronic commerce: a proposed solution," Information Systems and e-Business Management, Springer, vol. 0, pages 1-22.
    21. Turrini, Laura & Meissner, Joern, 2019. "Spare parts inventory management: New evidence from distribution fitting," European Journal of Operational Research, Elsevier, vol. 273(1), pages 118-130.
    22. Dekker, R. & Pinçe, C. & Zuidwijk, R.A. & Jalil, M.N., 2010. "On the use of installed base information for spare parts logistics: a revieuw of ideas and industry practice," Econometric Institute Research Papers EI 2010-73, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    23. Mohammad Najjartabar Bisheh & G. Reza Nasiri & Esmaeil Esmaeili & Hamid Davoudpour & Shing I. Chang, 2022. "A new supply chain distribution network design for two classes of customers using transfer recurrent neural network," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(5), pages 2604-2618, October.
    24. Teunter, R.H. & Syntetos, A.A. & Babai, M.Z., 2017. "Stock keeping unit fill rate specification," European Journal of Operational Research, Elsevier, vol. 259(3), pages 917-925.
    25. Babai, M.Z. & Dallery, Y. & Boubaker, S. & Kalai, R., 2019. "A new method to forecast intermittent demand in the presence of inventory obsolescence," International Journal of Production Economics, Elsevier, vol. 209(C), pages 30-41.
    26. Syntetos, A.A. & Teunter, R.H. & Babai, M.Z. & Transchel, S., 2016. "On the benefits of delayed ordering," European Journal of Operational Research, Elsevier, vol. 248(3), pages 963-970.
    27. Trapero, Juan R. & Cardós, Manuel & Kourentzes, Nikolaos, 2019. "Empirical safety stock estimation based on kernel and GARCH models," Omega, Elsevier, vol. 84(C), pages 199-211.
    28. Prak, Dennis & Rogetzer, Patricia, 2022. "Timing intermittent demand with time-varying order-up-to levels," European Journal of Operational Research, Elsevier, vol. 303(3), pages 1126-1136.
    29. Syntetos, Aris A. & Zied Babai, M. & Gardner, Everette S., 2015. "Forecasting intermittent inventory demands: simple parametric methods vs. bootstrapping," Journal of Business Research, Elsevier, vol. 68(8), pages 1746-1752.
    30. Zhu, Sha & Dekker, Rommert & van Jaarsveld, Willem & Renjie, Rex Wang & Koning, Alex J., 2017. "An improved method for forecasting spare parts demand using extreme value theory," European Journal of Operational Research, Elsevier, vol. 261(1), pages 169-181.
    31. F R Johnston & E A Shale & S Kapoor & R True & A Sheth, 2011. "Breadth of range and depth of stock: forecasting and inventory management at Euro Car Parts Ltd," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 433-441, March.
    32. Wang, Wenbin & Syntetos, Aris A., 2011. "Spare parts demand: Linking forecasting to equipment maintenance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1194-1209.
    33. Altay, Nezih & Litteral, Lewis A. & Rudisill, Frank, 2012. "Effects of correlation on intermittent demand forecasting and stock control," International Journal of Production Economics, Elsevier, vol. 135(1), pages 275-283.
    34. Bacchetti, A. & Plebani, F. & Saccani, N. & Syntetos, A.A., 2013. "Empirically-driven hierarchical classification of stock keeping units," International Journal of Production Economics, Elsevier, vol. 143(2), pages 263-274.
    35. Bacchetti, Andrea & Saccani, Nicola, 2012. "Spare parts classification and demand forecasting for stock control: Investigating the gap between research and practice," Omega, Elsevier, vol. 40(6), pages 722-737.
    36. Molenaers, An & Baets, Herman & Pintelon, Liliane & Waeyenbergh, Geert, 2012. "Criticality classification of spare parts: A case study," International Journal of Production Economics, Elsevier, vol. 140(2), pages 570-578.
    37. Syntetos, A.A. & Babai, M.Z. & Davies, J. & Stephenson, D., 2010. "Forecasting and stock control: A study in a wholesaling context," International Journal of Production Economics, Elsevier, vol. 127(1), pages 103-111, September.
    38. Amiri-Aref, Mehdi & Klibi, Walid & Babai, M. Zied, 2018. "The multi-sourcing location inventory problem with stochastic demand," European Journal of Operational Research, Elsevier, vol. 266(1), pages 72-87.
    39. Boylan, John E. & Babai, M. Zied, 2016. "On the performance of overlapping and non-overlapping temporal demand aggregation approaches," International Journal of Production Economics, Elsevier, vol. 181(PA), pages 136-144.
    40. Zied Babai, M. & Syntetos, Aris A. & Teunter, Ruud, 2010. "On the empirical performance of (T, s, S) heuristics," European Journal of Operational Research, Elsevier, vol. 202(2), pages 466-472, April.
    41. Yang, Liu & Li, Haitao & Campbell, James F. & Sweeney, Donald C., 2017. "Integrated multi-period dynamic inventory classification and control," International Journal of Production Economics, Elsevier, vol. 189(C), pages 86-96.
    42. Hasni, M. & Babai, M.Z. & Aguir, M.S. & Jemai, Z., 2019. "An investigation on bootstrapping forecasting methods for intermittent demands," International Journal of Production Economics, Elsevier, vol. 209(C), pages 20-29.
    43. Azizah Aisyati & Wakhid Ahmad Jauhari & Cucuk Nur Rosyidi, 2013. "Determination Inventory Level for Aircraft Spare Parts Using Continuous Review Model," International Journal of Business Research and Management (IJBRM), Computer Science Journals (CSC Journals), vol. 4(1), pages 1-12, February.
    44. M. Li & P. Guo & G. Yang & S. Fang, 2014. "IB-ICCMSP: An Integrated Irrigation Water Optimal Allocation and Planning Model Based on Inventory Theory under Uncertainty," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 241-260, January.
    45. Rego, José Roberto do & Mesquita, Marco Aurélio de, 2015. "Demand forecasting and inventory control: A simulation study on automotive spare parts," International Journal of Production Economics, Elsevier, vol. 161(C), pages 1-16.
    46. Gary Mitchell & Meike Niederhausen, 2010. "On Replenishing Items with Seasonal Intermittent Demand," American Journal of Economics and Business Administration, Science Publications, vol. 2(1), pages 90-102, March.

  44. Nicolai, Robin P. & Dekker, Rommert & van Noortwijk, Jan M., 2007. "A comparison of models for measurable deterioration: An application to coatings on steel structures," Reliability Engineering and System Safety, Elsevier, vol. 92(12), pages 1635-1650.
    See citations under working paper version above.
  45. Porras, Eric & Dekker, Rommert, 2006. "An efficient optimal solution method for the joint replenishment problem with minimum order quantities," European Journal of Operational Research, Elsevier, vol. 174(3), pages 1595-1615, November.
    See citations under working paper version above.
  46. BayIndIr, Z. Pelin & Dekker, Rommert & Porras, Eric, 2006. "Determination of recovery effort for a probabilistic recovery system under various inventory control policies," Omega, Elsevier, vol. 34(6), pages 571-584, December.
    See citations under working paper version above.
  47. G Budai & D Huisman & R Dekker, 2006. "Scheduling preventive railway maintenance activities," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(9), pages 1035-1044, September.
    See citations under working paper version above.
  48. Vromans, Michiel J.C.M. & Dekker, Rommert & Kroon, Leo G., 2006. "Reliability and heterogeneity of railway services," European Journal of Operational Research, Elsevier, vol. 172(2), pages 647-665, July.
    See citations under working paper version above.
  49. Krever, Maarten & Wunderink, Sophia & Dekker, Rommert & Schorr, Benno, 2005. "Inventory control based on advanced probability theory, an application," European Journal of Operational Research, Elsevier, vol. 162(2), pages 342-358, April.

    Cited by:

    1. Rego, José Roberto do & Mesquita, Marco Aurélio de, 2015. "Demand forecasting and inventory control: A simulation study on automotive spare parts," International Journal of Production Economics, Elsevier, vol. 161(C), pages 1-16.

  50. Musalem, Eric Porras & Dekker, Rommert, 2005. "Controlling inventories in a supply chain: A case study," International Journal of Production Economics, Elsevier, vol. 93(1), pages 179-188, January.
    See citations under working paper version above.
  51. Ovidiu Listes & Rommert Dekker, 2005. "A Scenario Aggregation–Based Approach for Determining a Robust Airline Fleet Composition for Dynamic Capacity Allocation," Transportation Science, INFORMS, vol. 39(3), pages 367-382, August.

    Cited by:

    1. Lay Eng Teoh & Hooi Ling Khoo, 2016. "Fleet Planning Decision-Making: Two-Stage Optimization with Slot Purchase," Journal of Optimization, Hindawi, vol. 2016, pages 1-12, June.
    2. Kiracı, Kasım & Akan, Ercan, 2020. "Aircraft selection by applying AHP and TOPSIS in interval type-2 fuzzy sets," Journal of Air Transport Management, Elsevier, vol. 89(C).
    3. Yan, Shangyao & Tang, Ching-Hui, 2009. "Inter-city bus scheduling under variable market share and uncertain market demands," Omega, Elsevier, vol. 37(1), pages 178-192, February.
    4. Giovanni Pantuso & Kjetil Fagerholt & Stein W. Wallace, 2016. "Uncertainty in Fleet Renewal: A Case from Maritime Transportation," Transportation Science, INFORMS, vol. 50(2), pages 390-407, May.
    5. Şafak, Özge & Çavuş, Özlem & Aktürk, M. Seli̇m, 2022. "A two-stage decision dependent stochastic approach for airline flight network expansion," Transportation Research Part B: Methodological, Elsevier, vol. 158(C), pages 78-101.
    6. Qiang Meng & Tingsong Wang & Shuaian Wang, 2015. "Multi-period liner ship fleet planning with dependent uncertain container shipment demand," Maritime Policy & Management, Taylor & Francis Journals, vol. 42(1), pages 43-67, January.
    7. Kenan, Nabil & Jebali, Aida & Diabat, Ali, 2018. "The integrated aircraft routing problem with optional flights and delay considerations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 118(C), pages 355-375.
    8. Şafak, Özge & Çavuş, Özlem & Selim Aktürk, M., 2018. "Multi-stage airline scheduling problem with stochastic passenger demand and non-cruise times," Transportation Research Part B: Methodological, Elsevier, vol. 114(C), pages 39-67.
    9. Carreira, Joana S. & Lulli, Guglielmo & Antunes, António P., 2017. "The airline long-haul fleet planning problem: The case of TAP service to/from Brazil," European Journal of Operational Research, Elsevier, vol. 263(2), pages 639-651.
    10. Kenan, Nabil & Diabat, Ali & Jebali, Aida, 2018. "Codeshare agreements in the integrated aircraft routing problem," Transportation Research Part B: Methodological, Elsevier, vol. 117(PA), pages 272-295.
    11. Hu, Shaolong & Han, Chuanfeng & Dong, Zhijie Sasha & Meng, Lingpeng, 2019. "A multi-stage stochastic programming model for relief distribution considering the state of road network," Transportation Research Part B: Methodological, Elsevier, vol. 123(C), pages 64-87.
    12. Ye Wang & Jiafu Tang, 2022. "Optimized skill configuration for the seru production system under an uncertain demand," Annals of Operations Research, Springer, vol. 316(1), pages 445-465, September.
    13. Dožić, Slavica & Kalić, Milica, 2015. "Three-stage airline fleet planning model," Journal of Air Transport Management, Elsevier, vol. 46(C), pages 30-39.
    14. Sa, Constantijn A.A. & Santos, Bruno F. & Clarke, John-Paul B., 2020. "Portfolio-based airline fleet planning under stochastic demand," Omega, Elsevier, vol. 97(C).
    15. Geursen, Izaak L. & Santos, Bruno F. & Yorke-Smith, Neil, 2023. "Fleet planning under demand and fuel price uncertainty using actor–critic reinforcement learning," Journal of Air Transport Management, Elsevier, vol. 109(C).
    16. Birolini, Sebastian & Jacquillat, Alexandre & Cattaneo, Mattia & Antunes, António Pais, 2021. "Airline Network Planning: Mixed-integer non-convex optimization with demand–supply interactions," Transportation Research Part B: Methodological, Elsevier, vol. 154(C), pages 100-124.
    17. Hanif D. Sherali & Xiaomei Zhu, 2008. "Two-Stage Fleet Assignment Model Considering Stochastic Passenger Demands," Operations Research, INFORMS, vol. 56(2), pages 383-399, April.
    18. Adil Baykasoğlu & Nurhan Dudaklı & Kemal Subulan & A. Serdar Taşan, 2022. "An integrated fleet planning model with empty vehicle repositioning for an intermodal transportation system," Operational Research, Springer, vol. 22(3), pages 2063-2098, July.
    19. Ming Liu & Yueyu Ding & Lihua Sun & Runchun Zhang & Yue Dong & Zihan Zhao & Yiting Wang & Chaoran Liu, 2023. "Green Airline-Fleet Assignment with Uncertain Passenger Demand and Fuel Price," Sustainability, MDPI, vol. 15(2), pages 1-22, January.
    20. Chen, Wei-Ting & Huang, Kuancheng & Ardiansyah, Muhammad Nashir, 2018. "A mathematical programming model for aircraft leasing decisions," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 15-25.
    21. Pilla, Venkata L. & Rosenberger, Jay M. & Chen, Victoria & Engsuwan, Narakorn & Siddappa, Sheela, 2012. "A multivariate adaptive regression splines cutting plane approach for solving a two-stage stochastic programming fleet assignment model," European Journal of Operational Research, Elsevier, vol. 216(1), pages 162-171.
    22. Erick Delage & Sharon Arroyo & Yinyu Ye, 2014. "The Value of Stochastic Modeling in Two-Stage Stochastic Programs with Cost Uncertainty," Operations Research, INFORMS, vol. 62(6), pages 1377-1393, December.
    23. Bakkehaug, Rikard & Eidem, Eirik Stamsø & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A stochastic programming formulation for strategic fleet renewal in shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 60-76.

  52. Listes, Ovidiu & Dekker, Rommert, 2005. "A stochastic approach to a case study for product recovery network design," European Journal of Operational Research, Elsevier, vol. 160(1), pages 268-287, January.

    Cited by:

    1. J Mar-Ortiz & B Adenso-Diaz & J L González-Velarde, 2011. "Design of a recovery network for WEEE collection: the case of Galicia, Spain," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(8), pages 1471-1484, August.
    2. Nickel, Stefan & Saldanha-da-Gama, Francisco & Ziegler, Hans-Peter, 2012. "A multi-stage stochastic supply network design problem with financial decisions and risk management," Omega, Elsevier, vol. 40(5), pages 511-524.
    3. Li, Na & Jiang, Yue & Zhang, Zhi-Hai, 2021. "A two-stage ambiguous stochastic program for electric vehicle charging station location problem with valet charging service," Transportation Research Part B: Methodological, Elsevier, vol. 153(C), pages 149-171.
    4. Eskandarpour, Majid & Zegordi, Seyed Hessameddin & Nikbakhsh, Ehsan, 2013. "A parallel variable neighborhood search for the multi-objective sustainable post-sales network design problem," International Journal of Production Economics, Elsevier, vol. 145(1), pages 117-131.
    5. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    6. De Rosa, Vincenzo & Gebhard, Marina & Hartmann, Evi & Wollenweber, Jens, 2013. "Robust sustainable bi-directional logistics network design under uncertainty," International Journal of Production Economics, Elsevier, vol. 145(1), pages 184-198.
    7. Rezapour, Shabnam & Allen, Janet K. & Mistree, Farrokh, 2015. "Uncertainty propagation in a supply chain or supply network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 185-206.
    8. Vahab Vahdat & Mohammad Ali Vahdatzad, 2017. "Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty," Logistics, MDPI, vol. 1(2), pages 1-21, December.
    9. Alumur, Sibel A. & Nickel, Stefan & Saldanha-da-Gama, Francisco & Verter, Vedat, 2012. "Multi-period reverse logistics network design," European Journal of Operational Research, Elsevier, vol. 220(1), pages 67-78.
    10. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 140(1), pages 239-248.
    11. YAO, Lifei & JIN, Maozhu & REN, Peiyu & LV, Zhihan, 2016. "Robust environmental closed-loop supply chain design under uncertaintyAuthor-Name: MA, Ruimin," Chaos, Solitons & Fractals, Elsevier, vol. 89(C), pages 195-202.
    12. Zeng, Bingcong & Yen, Benjamin P.-C., 2017. "Rethinking the role of partnerships in global supply chains: A risk-based perspective," International Journal of Production Economics, Elsevier, vol. 185(C), pages 52-62.
    13. Tosarkani, Babak Mohamadpour & Amin, Saman Hassanzadeh & Zolfagharinia, Hossein, 2020. "A scenario-based robust possibilistic model for a multi-objective electronic reverse logistics network," International Journal of Production Economics, Elsevier, vol. 224(C).
    14. Anil Jindal & Kuldip Singh Sangwan, 2017. "Multi-objective fuzzy mathematical modelling of closed-loop supply chain considering economical and environmental factors," Annals of Operations Research, Springer, vol. 257(1), pages 95-120, October.
    15. García-Rodríguez, Francisco J. & Castilla-Gutiérrez, Carlos & Bustos-Flores, Carlos, 2013. "Implementation of reverse logistics as a sustainable tool for raw material purchasing in developing countries: The case of Venezuela," International Journal of Production Economics, Elsevier, vol. 141(2), pages 582-592.
    16. Kilic, Huseyin Selcuk & Cebeci, Ufuk & Ayhan, Mustafa Batuhan, 2015. "Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 120-132.
    17. Chouinard, Marc & D'Amours, Sophie & Aït-Kadi, Daoud, 2008. "A stochastic programming approach for designing supply loops," International Journal of Production Economics, Elsevier, vol. 113(2), pages 657-677, June.
    18. Baghalian, Atefeh & Rezapour, Shabnam & Farahani, Reza Zanjirani, 2013. "Robust supply chain network design with service level against disruptions and demand uncertainties: A real-life case," European Journal of Operational Research, Elsevier, vol. 227(1), pages 199-215.
    19. Farahani, Reza Zanjirani & Rezapour, Shabnam & Drezner, Tammy & Fallah, Samira, 2014. "Competitive supply chain network design: An overview of classifications, models, solution techniques and applications," Omega, Elsevier, vol. 45(C), pages 92-118.
    20. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.
    21. Alumura, Sibel A. & Karab, Bahar Y. & Melo, M. Teresa, 2013. "Location and logistics," Technical Reports on Logistics of the Saarland Business School 5, Saarland University of Applied Sciences (htw saar), Saarland Business School.
    22. Khatami, Maryam & Mahootchi, Masoud & Farahani, Reza Zanjirani, 2015. "Benders’ decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 1-21.
    23. Renato Matta, 2019. "Product costing in the strategic formation of a supply chain," Annals of Operations Research, Springer, vol. 272(1), pages 389-427, January.
    24. Xuehong Gao, 2019. "A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
    25. Donya Rahmani, 2019. "Designing a robust and dynamic network for the emergency blood supply chain with the risk of disruptions," Annals of Operations Research, Springer, vol. 283(1), pages 613-641, December.
    26. Kena Zhao & Tsan Sheng Adam Ng & Xiao Liu, 2020. "A guarantee rate optimization model for wastewater treatment system design under uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 67(6), pages 420-437, September.
    27. Mestre, Ana Maria & Oliveira, Mónica Duarte & Barbosa-Póvoa, Ana Paula, 2015. "Location–allocation approaches for hospital network planning under uncertainty," European Journal of Operational Research, Elsevier, vol. 240(3), pages 791-806.
    28. Shi, Jianmai & Chen, Wenyi & Verter, Vedat, 2023. "The joint impact of environmental awareness and system infrastructure on e-waste collection," European Journal of Operational Research, Elsevier, vol. 310(2), pages 760-772.
    29. Renata Turkeš & Kenneth Sörensen & Daniel Palhazi Cuervo, 2021. "A matheuristic for the stochastic facility location problem," Journal of Heuristics, Springer, vol. 27(4), pages 649-694, August.
    30. Saeid Rezaei & Amirsaman Kheirkhah, 2018. "A comprehensive approach in designing a sustainable closed-loop supply chain network using cross-docking operations," Computational and Mathematical Organization Theory, Springer, vol. 24(1), pages 51-98, March.
    31. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    32. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    33. Wongthatsanekorn, Wuthichai & Realff, Matthew J. & Ammons, Jane C., 2010. "Multi-time scale Markov decision process approach to strategic network growth of reverse supply chains," Omega, Elsevier, vol. 38(1-2), pages 20-32, February.
    34. Cardona-Valdés, Y. & Álvarez, A. & Pacheco, J., 2014. "Metaheuristic procedure for a bi-objective supply chain design problem with uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 66-84.
    35. Jahani, Hamed & Abbasi, Babak & Alavifard, Farzad & Talluri, Srinivas, 2018. "Supply chain network redesign with demand and price uncertainty," International Journal of Production Economics, Elsevier, vol. 205(C), pages 287-312.
    36. Halit Üster & Sung Ook Hwang, 2017. "Closed-Loop Supply Chain Network Design Under Demand and Return Uncertainty," Transportation Science, INFORMS, vol. 51(4), pages 1063-1085, November.
    37. Grekova, K. & Bremmers, H.J. & Trienekens, J.H. & Kemp, R.G.M. & Omta, S.W.F., 2014. "Extending environmental management beyond the firm boundaries: An empirical study of Dutch food and beverage firms," International Journal of Production Economics, Elsevier, vol. 152(C), pages 174-187.
    38. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    39. S.A. Torabi & J. Namdar & S.M. Hatefi & F. Jolai, 2016. "An enhanced possibilistic programming approach for reliable closed-loop supply chain network design," International Journal of Production Research, Taylor & Francis Journals, vol. 54(5), pages 1358-1387, March.
    40. Qin, Zhongfeng & Ji, Xiaoyu, 2010. "Logistics network design for product recovery in fuzzy environment," European Journal of Operational Research, Elsevier, vol. 202(2), pages 479-490, April.
    41. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
    42. Ye, Fei & Zhao, Xiande & Prahinski, Carol & Li, Yina, 2013. "The impact of institutional pressures, top managers' posture and reverse logistics on performance—Evidence from China," International Journal of Production Economics, Elsevier, vol. 143(1), pages 132-143.
    43. Haifa Jammeli & Majdi Argoubi & Hatem Masri, 2021. "A Bi-objective stochastic programming model for the household waste collection and transportation problem: case of the city of Sousse," Operational Research, Springer, vol. 21(3), pages 1613-1639, September.
    44. Yongbo Li & Devika Kannan & P. C. Jha & Kiran Garg & Jyoti Darbari & Neha Agarwal, 2023. "Design of a multi echelon product recovery embeded reverse logistics network for multi products and multi periods," Annals of Operations Research, Springer, vol. 323(1), pages 131-152, April.
    45. David Kik & Matthias G. Wichmann & Thomas S. Spengler, 2023. "Small- or Medium-Sized Enterprise Uses Operations Research to Select and Develop its Headquarters Location," Interfaces, INFORMS, vol. 53(4), pages 312-331, July.
    46. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    47. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    48. Lee, Der-Horng & Dong, Meng & Bian, Wen, 2010. "The design of sustainable logistics network under uncertainty," International Journal of Production Economics, Elsevier, vol. 128(1), pages 159-166, November.

  53. R. Dekker & M. B. M. de Koster & K. J. Roodbergen & H. van Kalleveen, 2004. "Improving Order-Picking Response Time at Ankor's Warehouse," Interfaces, INFORMS, vol. 34(4), pages 303-313, August.

    Cited by:

    1. Çağla Cergibozan & A. Serdar Tasan, 2019. "Order batching operations: an overview of classification, solution techniques, and future research," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 335-349, January.
    2. Dijkstra, Arjan S. & Roodbergen, Kees Jan, 2017. "Exact route-length formulas and a storage location assignment heuristic for picker-to-parts warehouses," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 102(C), pages 38-59.
    3. Boysen, Nils & de Koster, René & Füßler, David, 2021. "The forgotten sons: Warehousing systems for brick-and-mortar retail chains," European Journal of Operational Research, Elsevier, vol. 288(2), pages 361-381.
    4. van Gils, Teun & Caris, An & Ramaekers, Katrien & Braekers, Kris & de Koster, René B.M., 2019. "Designing efficient order picking systems: The effect of real-life features on the relationship among planning problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 47-73.
    5. Valle, Cristiano Arbex & Beasley, John E. & da Cunha, Alexandre Salles, 2017. "Optimally solving the joint order batching and picker routing problem," European Journal of Operational Research, Elsevier, vol. 262(3), pages 817-834.
    6. Giannikas, Vaggelis & Lu, Wenrong & Robertson, Brian & McFarlane, Duncan, 2017. "An interventionist strategy for warehouse order picking: Evidence from two case studies," International Journal of Production Economics, Elsevier, vol. 189(C), pages 63-76.
    7. van Gils, Teun & Ramaekers, Katrien & Caris, An & de Koster, René B.M., 2018. "Designing efficient order picking systems by combining planning problems: State-of-the-art classification and review," European Journal of Operational Research, Elsevier, vol. 267(1), pages 1-15.
    8. de Koster, M.B.M. & Le-Duc, T. & Roodbergen, K.J., 2006. "Design and Control of Warehouse Order Picking: a literature review," ERIM Report Series Research in Management ERS-2006-005-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    9. Mina Roohnavazfar & Seyed Hamid Reza Pasandideh, 2022. "Decomposition algorithm for the multi-trip single vehicle routing problem with AND-type precedence constraints," Operational Research, Springer, vol. 22(4), pages 4253-4285, September.
    10. Silva, Allyson & Coelho, Leandro C. & Darvish, Maryam & Renaud, Jacques, 2020. "Integrating storage location and order picking problems in warehouse planning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).

  54. Aronis, Kostas-Platon & Magou, Ioulia & Dekker, Rommert & Tagaras, George, 2004. "Inventory control of spare parts using a Bayesian approach: A case study," European Journal of Operational Research, Elsevier, vol. 154(3), pages 730-739, May.
    See citations under working paper version above.
  55. Vlachos, Dimitrios & Dekker, Rommert, 2003. "Return handling options and order quantities for single period products," European Journal of Operational Research, Elsevier, vol. 151(1), pages 38-52, November.
    See citations under working paper version above.
  56. de Brito, Marisa P. & Dekker, Rommert, 2003. "Modelling product returns in inventory control--exploring the validity of general assumptions," International Journal of Production Economics, Elsevier, vol. 81(1), pages 225-241, January.
    See citations under working paper version above.
  57. R. Dekker & R.M. Hill & M.J. Kleijn & R.H. Teunter, 2002. "On the (S − 1, S) lost sales inventory model with priority demand classes," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(6), pages 593-610, September.
    See citations under working paper version above.
  58. Fleischmann, Moritz & Kuik, Roelof & Dekker, Rommert, 2002. "Controlling inventories with stochastic item returns: A basic model," European Journal of Operational Research, Elsevier, vol. 138(1), pages 63-75, April.

    Cited by:

    1. Dan Wu & Xinxin Lu, 2023. "Optimal Return Policy of Competitive Retailers’ Pre-Sale Products Based on Strategic Consumer Behavior," Sustainability, MDPI, vol. 15(2), pages 1-18, January.
    2. Zolfagharinia, Hossein & Hafezi, Maryam & Farahani, Reza Zanjirani & Fahimnia, Behnam, 2014. "A hybrid two-stock inventory control model for a reverse supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 141-161.
    3. Gregory DeCroix & Jing-Sheng Song & Paul Zipkin, 2005. "A Series System with Returns: Stationary Analysis," Operations Research, INFORMS, vol. 53(2), pages 350-362, April.
    4. de Brito, Marisa P. & van der Laan, Erwin A., 2009. "Inventory control with product returns: The impact of imperfect information," European Journal of Operational Research, Elsevier, vol. 194(1), pages 85-101, April.
    5. Yonit Barron, 2016. "Performance analysis of a reflected fluid production/inventory model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(1), pages 1-31, February.
    6. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    7. Sheu, Jiuh-Biing & Chen, Yenming J., 2014. "Transportation and economies of scale in recycling low-value materials," Transportation Research Part B: Methodological, Elsevier, vol. 65(C), pages 65-76.
    8. Carrasco-Gallego, R. & Ponce-Cueto, E. & Dekker, R., 2009. "A framework for closed-loop supply chains of reusable articles," Econometric Institute Research Papers EI 2009-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    9. Flapper, Simme Douwe & Gayon, Jean-Philippe & Lim, Lâm Laurent, 2014. "On the optimal control of manufacturing and remanufacturing activities with a single shared server," European Journal of Operational Research, Elsevier, vol. 234(1), pages 86-98.
    10. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
    11. de Brito, M.P. & Dekker, R., 2001. "Modelling product returns in inventory control - exploring the validity or general assumptions," Econometric Institute Research Papers EI 2001-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Weimin Ma & Ranran Zhang & Shiwei Chai, 2019. "What Drives Green Innovation? A Game Theoretic Analysis of Government Subsidy and Cooperation Contract," Sustainability, MDPI, vol. 11(20), pages 1-24, October.
    13. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    14. Vercraene, Samuel & Gayon, Jean-Philippe, 2013. "Optimal control of a production-inventory system with productreturns," International Journal of Production Economics, Elsevier, vol. 142(2), pages 302-310.
    15. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
    16. Gad Allon & Jan A. Van Mieghem, 2010. "Global Dual Sourcing: Tailored Base-Surge Allocation to Near- and Offshore Production," Management Science, INFORMS, vol. 56(1), pages 110-124, January.
    17. J. Artalejo & A. Krishnamoorthy & M. Lopez-Herrero, 2006. "Numerical analysis of(s, S) inventory systems with repeated attempts," Annals of Operations Research, Springer, vol. 141(1), pages 67-83, January.
    18. Yonit Barron, 2016. "Performance analysis of a reflected fluid production/inventory model," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 83(1), pages 1-31, February.
    19. Corbacioglu, Umut & van der Laan, Erwin A., 2007. "Setting the holding cost rates in a two-product system with remanufacturing," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 185-194, September.
    20. Gökbayrak, Esra & Kayış, Enis, 2023. "Single item periodic review inventory control with sales dependent stochastic return flows," International Journal of Production Economics, Elsevier, vol. 255(C).
    21. Atamer, Büşra & Bakal, İsmail S. & Bayındır, Z. Pelin, 2013. "Optimal pricing and production decisions in utilizing reusable containers," International Journal of Production Economics, Elsevier, vol. 143(2), pages 222-232.
    22. Shi, Jianmai & Zhang, Guoqing & Sha, Jichang, 2011. "Optimal production and pricing policy for a closed loop system," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 639-647.
    23. Wenting Pan & Candice H. Huynh, 2023. "Optimal operational strategies for online retailers with demand and return uncertainty," Operations Management Research, Springer, vol. 16(2), pages 755-767, June.
    24. Hallak, Bassam K. & Nasr, Walid W. & Jaber, Mohamad Y., 2021. "Re-ordering policies for inventory systems with recyclable items and stochastic demand – Outsourcing vs. in-house recycling," Omega, Elsevier, vol. 105(C).
    25. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    26. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.
    27. Goedhart, Joost & Haijema, René & Akkerman, Renzo, 2023. "Modelling the influence of returns for an omni-channel retailer," European Journal of Operational Research, Elsevier, vol. 306(3), pages 1248-1263.
    28. Kannan, Devika & Diabat, Ali & Alrefaei, Mahmoud & Govindan, Kannan & Yong, Geng, 2012. "A carbon footprint based reverse logistics network design model," Resources, Conservation & Recycling, Elsevier, vol. 67(C), pages 75-79.
    29. Felix T.S. Chan & Nan Li & S.H. Chung & Mozafar Saadat, 2017. "Management of sustainable manufacturing systems-a review on mathematical problems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1210-1225, February.
    30. Gregory A. DeCroix & Paul H. Zipkin, 2005. "Inventory Management for an Assembly System with Product or Component Returns," Management Science, INFORMS, vol. 51(8), pages 1250-1265, August.
    31. Vercraene, Samuel & Gayon, Jean-Philippe & Flapper, Simme Douwe, 2014. "Coordination of manufacturing, remanufacturing and returns acceptance in hybrid manufacturing/remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 148(C), pages 62-70.
    32. Corbacıoğlu, U. & van der Laan, E.A., 2005. "Setting the holding cost rates in a multi-product system with remanufacturing," ERIM Report Series Research in Management ERS-2005-072-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    33. Pinçe, Çerag & Gürler, Ülkü & Berk, Emre, 2008. "A continuous review replenishment-disposal policy for an inventory system with autonomous supply and fixed disposal costs," European Journal of Operational Research, Elsevier, vol. 190(2), pages 421-442, October.
    34. Zerhouni, Hichem & Gayon, Jean-Philippe & Frein, Yannick, 2013. "Influence of dependency between demands and returns in a reverse logistics system," International Journal of Production Economics, Elsevier, vol. 143(1), pages 62-71.
    35. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    36. Xu, Lei & Li, Yongjian & Govindan, Kannan & Xu, Xiaolin, 2015. "Consumer returns policies with endogenous deadline and supply chain coordination," European Journal of Operational Research, Elsevier, vol. 242(1), pages 88-99.
    37. Xiao, Tiaojun & Shi, Kuiran & Yang, Danqin, 2010. "Coordination of a supply chain with consumer return under demand uncertainty," International Journal of Production Economics, Elsevier, vol. 124(1), pages 171-180, March.

  59. M A J Smith & R Dekker & J Kos & J A M Hontelez, 2001. "The availability of unmanned air vehicles: a post-case study," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 161-168, February.

    Cited by:

    1. Edward Ianovsky & Joseph Kreimer, 2011. "An optimal routing policy for unmanned aerial vehicles (analytical and cross-entropy simulation approach)," Annals of Operations Research, Springer, vol. 189(1), pages 215-253, September.
    2. Afshan Naseem & Shoab Ahmed Khan & Asad Waqar Malik, 2017. "A real-time man-in-loop threat evaluation and resource assignment in defense," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 725-738, June.

  60. R Dekker & R P Plasmeijer, 2001. "Multi-parameter maintenance optimisation via the marginal cost approach," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 52(2), pages 188-197, February.

    Cited by:

    1. Daneshkhah, A. & Stocks, N.G. & Jeffrey, P., 2017. "Probabilistic sensitivity analysis of optimised preventive maintenance strategies for deteriorating infrastructure assets," Reliability Engineering and System Safety, Elsevier, vol. 163(C), pages 33-45.
    2. Alotaibi, Naif M. & Scarf, Philip & Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & de Oliveira e Silva, André Luiz & Rodrigues, Augusto J.S. & Alyami, Salem A., 2023. "Modified-opportunistic inspection and the case of remote, groundwater well-heads," Reliability Engineering and System Safety, Elsevier, vol. 237(C).
    3. Zitrou, A. & Bedford, T. & Daneshkhah, A., 2013. "Robustness of maintenance decisions: Uncertainty modelling and value of information," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 60-71.
    4. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.

  61. P Melchiors & R Dekker & M J Kleijn, 2000. "Inventory rationing in an (s, Q) inventory model with lost sales and two demand classes," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(1), pages 111-122, January.
    See citations under working paper version above.
  62. Fleischmann, Mortiz & Krikke, Hans Ronald & Dekker, Rommert & Flapper, Simme Douwe P., 2000. "A characterisation of logistics networks for product recovery," Omega, Elsevier, vol. 28(6), pages 653-666, December.

    Cited by:

    1. Hong, I-Hsuan & Lee, Yi-Ting & Chang, Pei-Yu, 2014. "Socially optimal and fund-balanced advanced recycling fees and subsidies in a competitive forward and reverse supply chain," Resources, Conservation & Recycling, Elsevier, vol. 82(C), pages 75-85.
    2. Kuzmicz, Katarzyna Anna & Pesch, Erwin, 2019. "Approaches to empty container repositioning problems in the context of Eurasian intermodal transportation," Omega, Elsevier, vol. 85(C), pages 194-213.
    3. Zhichao Li & Jilin Huang, 2018. "How to Effectively Improve Pesticide Waste Governance: A Perspective of Reverse Logistics," Sustainability, MDPI, vol. 10(10), pages 1-19, October.
    4. Hua Ke & Yong Wu & Hu Huang, 2018. "Competitive Pricing and Remanufacturing Problem in an Uncertain Closed-Loop Supply Chain with Risk-Sensitive Retailers," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 35(01), pages 1-21, February.
    5. Kristin Sahyouni & R. Canan Savaskan & Mark S. Daskin, 2007. "A Facility Location Model for Bidirectional Flows," Transportation Science, INFORMS, vol. 41(4), pages 484-499, November.
    6. Gopalakrishnan Easwaran & Halit Üster, 2009. "Tabu Search and Benders Decomposition Approaches for a Capacitated Closed-Loop Supply Chain Network Design Problem," Transportation Science, INFORMS, vol. 43(3), pages 301-320, August.
    7. Özceylan, Eren & Paksoy, Turan & Bektaş, Tolga, 2014. "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 142-164.
    8. Zhu, Qinghua & Sarkis, Joseph & Lai, Kee-hung, 2008. "Confirmation of a measurement model for green supply chain management practices implementation," International Journal of Production Economics, Elsevier, vol. 111(2), pages 261-273, February.
    9. Muhammad Waqas & Qian-li Dong & Naveed Ahmad & Yuming Zhu & Muhammad Nadeem, 2018. "Critical Barriers to Implementation of Reverse Logistics in the Manufacturing Industry: A Case Study of a Developing Country," Sustainability, MDPI, vol. 10(11), pages 1-25, November.
    10. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    11. Wang, Chao & Lim, Ming K & Zhao, Longfeng & Tseng, Ming-Lang & Chien, Chen-Fu & Lev, Benjamin, 2020. "The evolution of Omega-The International Journal of Management Science over the past 40 years: A bibliometric overview," Omega, Elsevier, vol. 93(C).
    12. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    13. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    14. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof, J. & van Nunen, J.A.E.E. & Spengler, T., 2009. "A methodology for assessing eco-efficiency in logistics networks," European Journal of Operational Research, Elsevier, vol. 193(3), pages 670-682, March.
    15. Kristianto, Yohanes & Helo, Petri, 2015. "Reprint of “Product architecture modularity implications for operations economy of green supply chains”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 74(C), pages 63-80.
    16. Jeihoonian, Mohammad & Kazemi Zanjani, Masoumeh & Gendreau, Michel, 2017. "Closed-loop supply chain network design under uncertain quality status: Case of durable products," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 470-486.
    17. Caiado, Nathália & Guarnieri, Patricia & Xavier, Lúcia Helena & de Lorena Diniz Chaves, Gisele, 2017. "A characterization of the Brazilian market of reverse logistic credits (RLC) and an analogy with the existing carbon credit market," Resources, Conservation & Recycling, Elsevier, vol. 118(C), pages 47-59.
    18. Patricia Guarnieri & Lucio Camara e Silva & Bárbara de Oliveira Vieira, 2020. "How to Assess Reverse Logistics of e-Waste Considering a Multicriteria Perspective? A Model Proposition," Logistics, MDPI, vol. 4(4), pages 1-31, October.
    19. Lakdere Benkherouf & Konstantina Skouri & Ioannis Konstantaras, 2016. "Optimal Control of Production, Remanufacturing and Refurbishing Activities in a Finite Planning Horizon Inventory System," Journal of Optimization Theory and Applications, Springer, vol. 168(2), pages 677-698, February.
    20. Mehrdad Mehrbod & Nan Tu & Lixin Miao & Dai Wenjing, 2012. "Interactive fuzzy goal programming for a multi-objective closed-loop logistics network," Annals of Operations Research, Springer, vol. 201(1), pages 367-381, December.
    21. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    22. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    23. Dehghanian, Farzad & Mansour, Saeed, 2009. "Designing sustainable recovery network of end-of-life products using genetic algorithm," Resources, Conservation & Recycling, Elsevier, vol. 53(10), pages 559-570.
    24. Bouzon, Marina & Govindan, Kannan & Rodriguez, Carlos M.Taboada & Campos, Lucila M.S., 2016. "Identification and analysis of reverse logistics barriers using fuzzy Delphi method and AHP," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 182-197.
    25. Younes Hamdouch & Qiang Patrick Qiang & Kilani Ghoudi, 2017. "A Closed-Loop Supply Chain Equilibrium Model with Random and Price-Sensitive Demand and Return," Networks and Spatial Economics, Springer, vol. 17(2), pages 459-503, June.
    26. Carrasco-Gallego, R. & Ponce-Cueto, E. & Dekker, R., 2009. "A framework for closed-loop supply chains of reusable articles," Econometric Institute Research Papers EI 2009-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    27. Min, Hokey & Jeung Ko, Hyun & Seong Ko, Chang, 2006. "A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns," Omega, Elsevier, vol. 34(1), pages 56-69, January.
    28. Kadambala, Dinesh K. & Subramanian, Nachiappan & Tiwari, Manoj K. & Abdulrahman, Muhammad & Liu, Chang, 2017. "Closed loop supply chain networks: Designs for energy and time value efficiency," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 382-393.
    29. Soleimani, Hamed & Govindan, Kannan, 2014. "Reverse logistics network design and planning utilizing conditional value at risk," European Journal of Operational Research, Elsevier, vol. 237(2), pages 487-497.
    30. Kottala Sri Yogi, 2015. "Performance evaluation of reverse logistics: A case of LPG agency," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1063229-106, December.
    31. De Giovanni, Pietro & Zaccour, Georges, 2014. "A two-period game of a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 232(1), pages 22-40.
    32. C. Mondal & B. C. Giri & T. Maiti, 2020. "Pricing and greening strategies for a dual-channel closed-loop green supply chain," Flexible Services and Manufacturing Journal, Springer, vol. 32(3), pages 724-761, September.
    33. Abbas Al-Refaie & Yasmeen Jarrar & Natalija Lepkova, 2021. "Sustainable Design of a Multi-Echelon Closed Loop Supply Chain under Uncertainty for Durable Products," Sustainability, MDPI, vol. 13(19), pages 1-34, October.
    34. M. Tadaros & A. Migdalas & B. Samuelsson & A. Segerstedt, 2022. "Location of facilities and network design for reverse logistics of lithium-ion batteries in Sweden," Operational Research, Springer, vol. 22(2), pages 895-915, April.
    35. García-Rodríguez, Francisco J. & Castilla-Gutiérrez, Carlos & Bustos-Flores, Carlos, 2013. "Implementation of reverse logistics as a sustainable tool for raw material purchasing in developing countries: The case of Venezuela," International Journal of Production Economics, Elsevier, vol. 141(2), pages 582-592.
    36. Schultmann, Frank & Zumkeller, Moritz & Rentz, Otto, 2006. "Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1033-1050, June.
    37. Leonidas Milios & Mitsutaka Matsumoto, 2019. "Consumer Perception of Remanufactured Automotive Parts and Policy Implications for Transitioning to a Circular Economy in Sweden," Sustainability, MDPI, vol. 11(22), pages 1-15, November.
    38. Frank Schultmann & Bernd Engels & Otto Rentz, 2003. "Closed-Loop Supply Chains for Spent Batteries," Interfaces, INFORMS, vol. 33(6), pages 57-71, December.
    39. de la Fuente, M. Victoria & Ros, Lorenzo & Cardos, Manuel, 2008. "Integrating Forward and Reverse Supply Chains: Application to a metal-mechanic company," International Journal of Production Economics, Elsevier, vol. 111(2), pages 782-792, February.
    40. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    41. Ehsan Shekarian & Simme Douwe Flapper, 2021. "Analyzing the Structure of Closed-Loop Supply Chains: A Game Theory Perspective," Sustainability, MDPI, vol. 13(3), pages 1-32, January.
    42. Zhu, Qinghua & Cordeiro, James & Sarkis, Joseph, 2012. "International and domestic pressures and responses of Chinese firms to greening," Ecological Economics, Elsevier, vol. 83(C), pages 144-153.
    43. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    44. Maria-Lizbeth Uriarte-Miranda & Santiago-Omar Caballero-Morales & Jose-Luis Martinez-Flores & Patricia Cano-Olivos & Anastasia-Alexandrovna Akulova, 2018. "Reverse Logistic Strategy for the Management of Tire Waste in Mexico and Russia: Review and Conceptual Model," Sustainability, MDPI, vol. 10(10), pages 1-25, September.
    45. Hong, I-Hsuan & Ammons, Jane C. & Realff, Matthew J., 2008. "Decentralized decision-making and protocol design for recycled material flows," International Journal of Production Economics, Elsevier, vol. 116(2), pages 325-337, December.
    46. Zhang, Yong & Bao, Xiangtai & Ren, Gang & Cai, Xiaohua & Li, Jian, 2012. "Analysing the status, obstacles and recommendations for WCOs of restaurants as biodiesel feedstocks in China from supply chain’ perspectives," Resources, Conservation & Recycling, Elsevier, vol. 60(C), pages 20-37.
    47. Aras, Necati & Aksen, Deniz & Gönül Tanugur, Ayse, 2008. "Locating collection centers for incentive-dependent returns under a pick-up policy with capacitated vehicles," European Journal of Operational Research, Elsevier, vol. 191(3), pages 1223-1240, December.
    48. Aksen, Deniz & Aras, Necati & Karaarslan, Ayse Gönül, 2009. "Design and analysis of government subsidized collection systems for incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 119(2), pages 308-327, June.
    49. Sabharwal, Srishti & Garg, Suresh, 2013. "Determining cost effectiveness index of remanufacturing: A graph theoretic approach," International Journal of Production Economics, Elsevier, vol. 144(2), pages 521-532.
    50. Fleischmann, M., 2001. "Reverse Logistics Network Structures and Design," ERIM Report Series Research in Management ERS-2001-52-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    51. Zhou, Xiaoguang & Zhou, Yanhui, 2015. "Designing a multi-echelon reverse logistics operation and network: A case study of office paper in Beijing," Resources, Conservation & Recycling, Elsevier, vol. 100(C), pages 58-69.
    52. Cristina Ciliberto & Katarzyna Szopik‐Depczyńska & Małgorzata Tarczyńska‐Łuniewska & Alessandro Ruggieri & Giuseppe Ioppolo, 2021. "Enabling the Circular Economy transition: a sustainable lean manufacturing recipe for Industry 4.0," Business Strategy and the Environment, Wiley Blackwell, vol. 30(7), pages 3255-3272, November.
    53. Pietro De Giovanni, 2016. "State- and Control-Dependent Incentives in a Closed-Loop Supply Chain with Dynamic Returns," Dynamic Games and Applications, Springer, vol. 6(1), pages 20-54, March.
    54. José Antonio Plaza-Úbeda & Emilio Abad-Segura & Jerónimo de Burgos-Jiménez & Antoaneta Boteva-Asenova & Luis Jesús Belmonte-Ureña, 2020. "Trends and New Challenges in the Green Supply Chain: The Reverse Logistics," Sustainability, MDPI, vol. 13(1), pages 1-18, December.
    55. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    56. de Koster, M.B.M. & de Brito, M.P. & van de Vendel, M.A., 2002. "How to organise return handling; an exploratory study with nine retailer warehouses," Econometric Institute Research Papers EI 2002-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    57. Krikke, Harold & le Blanc, Ieke & van Krieken, Maaike & Fleuren, Hein, 2008. "Low-frequency collection of materials disassembled from end-of-life vehicles: On the value of on-line monitoring in optimizing route planning," International Journal of Production Economics, Elsevier, vol. 111(2), pages 209-228, February.
    58. Alvarez-Gil, M Jose & Berrone, Pascual & Husillos, F. Javier & Lado, Nora, 2007. "Reverse logistics, stakeholders' influence, organizational slack, and managers' posture," Journal of Business Research, Elsevier, vol. 60(5), pages 463-473, May.
    59. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    60. Kalogerakis, Katharina & Drabe, Viktoria & Paramasivam, Mugundan & Herstatt, Cornelius, 2015. "Closed-Loop Supply Chains for Cradle to Cradle Products," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Sustainability in Logistics and Supply Chain Management: New Designs and Strategies. Proceedings of the Hamburg International Conference of Logistics , volume 21, pages 3-34, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    61. Aras, Necati & Aksen, Deniz, 2008. "Locating collection centers for distance- and incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 111(2), pages 316-333, February.
    62. Faustino Alarcón & Pascual Cortés-Pellicer & David Pérez-Perales & Raquel Sanchis, 2020. "Sustainability vs. Circular Economy from a Disposition Decision Perspective: A Proposal of a Methodology and an Applied Example in SMEs," Sustainability, MDPI, vol. 12(23), pages 1-26, December.
    63. Xiaodong Zhu & Jing Wang & Juan Tang, 2017. "Recycling Pricing and Coordination of WEEE Dual-Channel Closed-Loop Supply Chain Considering Consumers’ Bargaining," IJERPH, MDPI, vol. 14(12), pages 1-17, December.
    64. Hao Yu & Wei Deng Solvang, 2016. "A Stochastic Programming Approach with Improved Multi-Criteria Scenario-Based Solution Method for Sustainable Reverse Logistics Design of Waste Electrical and Electronic Equipment (WEEE)," Sustainability, MDPI, vol. 8(12), pages 1-28, December.
    65. Halit Üster & Gopalakrishnan Easwaran & Elif Akçali & Sila Çetinkaya, 2007. "Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(8), pages 890-907, December.
    66. Hong, I-Hsuan & Yeh, Jun-Sheng, 2012. "Modeling closed-loop supply chains in the electronics industry: A retailer collection application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(4), pages 817-829.
    67. Syed Mithun Ali & Asraf Arafin & Md. Abdul Moktadir & Towfique Rahman & Nuzhat Zahan, 2018. "Barriers to Reverse Logistics in the Computer Supply Chain Using Interpretive Structural Model," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 53-68, March.
    68. Faustino Alarcón & Pascual Cortés-Pellicer & David Pérez-Perales & Ana Mengual-Recuerda, 2021. "A Reference Model of Reverse Logistics Process for Improving Sustainability in the Supply Chain," Sustainability, MDPI, vol. 13(18), pages 1-29, September.
    69. Navid Zarbakhshnia & Devika Kannan & Reza Kiani Mavi & Hamed Soleimani, 2020. "A novel sustainable multi-objective optimization model for forward and reverse logistics system under demand uncertainty," Annals of Operations Research, Springer, vol. 295(2), pages 843-880, December.
    70. You Qiu & Youliang Jin, 2022. "Impact of environmental taxes on remanufacturing decisions of a duopoly," Economic Change and Restructuring, Springer, vol. 55(4), pages 2479-2498, November.
    71. Quariguasi Frota Neto, J. & Walther, G. & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & Spengler, T., 2007. "From Closed-Loop to Sustainable Supply Chains: The WEEE case," ERIM Report Series Research in Management ERS-2007-036-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    72. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    73. Piradee Jusakulvijit & Alberto Bezama & Daniela Thrän, 2022. "An Integrated Assessment of GIS-MCA with Logistics Analysis for an Assessment of a Potential Decentralized Bioethanol Production System Using Distributed Agricultural Residues in Thailand," Sustainability, MDPI, vol. 14(16), pages 1-24, August.
    74. Vlachos, D. & Dekker, R., 2000. "Return handling options and order quantities for single period products," Econometric Institute Research Papers EI 2000-29/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    75. Wenyuan Wang & Daniel Y. Mo & Yue Wang & Mitchell M. Tseng, 2019. "Assessing the cost structure of component reuse in a product family for remanufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 575-587, February.
    76. Sumalee Pumpinyo & Vilas Nitivattananon, 2014. "Investigation of Barriers and Factors Affecting the Reverse Logistics of Waste Management Practice: A Case Study in Thailand," Sustainability, MDPI, vol. 6(10), pages 1-15, October.
    77. Min, Hokey & Ko, Hyun-Jeung, 2008. "The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers," International Journal of Production Economics, Elsevier, vol. 113(1), pages 176-192, May.
    78. Kristianto, Yohanes & Helo, Petri, 2014. "Product architecture modularity implications for operations economy of green supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 128-145.
    79. A.J.D. Lambert & H.M. Boelaarts & M.A.M. Splinter, 2004. "Optimal Recycling System Design: With an Application to Sophisticated Packaging Tools," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(3), pages 273-299, July.
    80. Kaya, Onur, 2010. "Incentive and production decisions for remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 201(2), pages 442-453, March.
    81. Francas, David & Minner, Stefan, 2009. "Manufacturing network configuration in supply chains with product recovery," Omega, Elsevier, vol. 37(4), pages 757-769, August.
    82. Jie Xu & Nan Liu, 2017. "Research on closed loop supply chain with reference price effect," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 51-64, January.
    83. L K Chu & Y Shi & S Lin & D Sculli & J Ni, 2010. "Fuzzy chance-constrained programming model for a multi-echelon reverse logistics network for household appliances," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 551-560, April.
    84. Teunter, Ruud H. & Flapper, Simme Douwe P., 2011. "Optimal core acquisition and remanufacturing policies under uncertain core quality fractions," European Journal of Operational Research, Elsevier, vol. 210(2), pages 241-248, April.
    85. Yalabik, Baris & Chhajed, Dilip & Petruzzi, Nicholas C., 2014. "Product and sales contract design in remanufacturing," International Journal of Production Economics, Elsevier, vol. 154(C), pages 299-312.
    86. Mohammad Fattahi & Kannan Govindan, 2017. "Integrated forward/reverse logistics network design under uncertainty with pricing for collection of used products," Annals of Operations Research, Springer, vol. 253(1), pages 193-225, June.
    87. Talat S. Genc & Pietro De Giovanni, 2016. "Trade-in and Save: A Two-period Closed-loop Supply Chain Game with Price and Technology Dependent Returns," Working Papers 1611, University of Guelph, Department of Economics and Finance.
    88. Mohsen M. D. Hassan, 2006. "Engineering supply chains as systems," Systems Engineering, John Wiley & Sons, vol. 9(1), pages 73-89, March.
    89. Ching-Chin Chern & Hsin-Mei Wang & Kwei-Long Huang, 2017. "A heuristic master planning algorithm for recycling supply chain management," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 985-1003, April.
    90. Chang Fang & Xinbao Liu & Jun Pei & Wenjuan Fan & Panos M. Pardalos, 2016. "Optimal production planning in a hybrid manufacturing and recovering system based on the internet of things with closed loop supply chains," Operational Research, Springer, vol. 16(3), pages 543-577, October.
    91. Gribkovskaia, Irina V. & Kovalev, Sergey & Werner, Frank, 2010. "Batching for work and rework processes on dedicated facilities to minimize the makespan," Omega, Elsevier, vol. 38(6), pages 522-527, December.
    92. Krikke, Harold & Hofenk, Dianne & Wang, Yacan, 2013. "Revealing an invisible giant: A comprehensive survey into return practices within original (closed-loop) supply chains," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 239-250.
    93. González-Torre, Pilar L. & Adenso-Díaz, Belarmino, 2006. "Reverse logistics practices in the glass sector in Spain and Belgium," International Business Review, Elsevier, vol. 15(5), pages 527-546, October.
    94. Agnieszka Konys, 2019. "Green Supplier Selection Criteria: From a Literature Review to a Comprehensive Knowledge Base," Sustainability, MDPI, vol. 11(15), pages 1-41, August.
    95. Chang, Xiangyun & Xia, Haiyang & Zhu, Huiyun & Fan, Tijun & Zhao, Hongqing, 2015. "Production decisions in a hybrid manufacturing–remanufacturing system with carbon cap and trade mechanism," International Journal of Production Economics, Elsevier, vol. 162(C), pages 160-173.
    96. Yi-Tse Fang & Hsin Rau, 2017. "Optimal Consumer Electronics Product Take-Back Time with Consideration of Consumer Value," Sustainability, MDPI, vol. 9(3), pages 1-17, March.
    97. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    98. Kannan, Govindan & Pokharel, Shaligram & Sasi Kumar, P., 2009. "A hybrid approach using ISM and fuzzy TOPSIS for the selection of reverse logistics provider," Resources, Conservation & Recycling, Elsevier, vol. 54(1), pages 28-36.
    99. Pauline Keh & Florence Rodhain & Régis Meissonier & Virginie Llorca, 2012. "Financial performance, environmental compliance, and social outcomes: The three challenges of reverse logistics," Post-Print hal-01965596, HAL.
    100. Qin, Zhongfeng & Ji, Xiaoyu, 2010. "Logistics network design for product recovery in fuzzy environment," European Journal of Operational Research, Elsevier, vol. 202(2), pages 479-490, April.
    101. Krikke, Harold, 2011. "Impact of closed-loop network configurations on carbon footprints: A case study in copiers," Resources, Conservation & Recycling, Elsevier, vol. 55(12), pages 1196-1205.
    102. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
    103. Qi Zhang & Yong Liu & Zhiyang Liu, 2022. "Decision Analysis of Manufacturer-Led Closed-Loop Supply Chain Considering Corporate Social Responsibility," IJERPH, MDPI, vol. 19(22), pages 1-23, November.
    104. Joe Miemczyk, 2008. "An exploration of institutional constraints on developing end-of-life product recovery capabilities," Post-Print hal-00765366, HAL.
    105. Álvarez, María José & Berrone, Pascual Alberto & Husillos, F. Javier & Lado, Nora, 2005. "The explanatory power of trust and commitment and stakeholders' salience : their influence on the reverse logistics programs performance," DEE - Working Papers. Business Economics. WB wb050303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    106. Erwin Soeseno & Ratih Dyah Kusumastuti, 2018. "Analysis of Factors Causing Delays in the Diesel Engine Remanufacturing Process at an Indonesian Company," Logistics, MDPI, vol. 3(1), pages 1-15, December.
    107. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    108. Ye, Yu-Sen & Ma, Zu-Jun & Dai, Ying, 2016. "The price of anarchy in competitive reverse supply chains with quality-dependent price-only contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 86-107.
    109. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    110. Jayaraman, Vaidyanathan & Patterson, Raymond A. & Rolland, Erik, 2003. "The design of reverse distribution networks: Models and solution procedures," European Journal of Operational Research, Elsevier, vol. 150(1), pages 128-149, October.

  63. R Korporaal & A Ridder & P Kloprogge & R Dekker, 2000. "An analytic model for capacity planning of prisons in the Netherlands," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 51(11), pages 1228-1237, November.

    Cited by:

    1. Osorio, Carolina & Wang, Carter, 2017. "On the analytical approximation of joint aggregate queue-length distributions for traffic networks: A stationary finite capacity Markovian network approach," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 305-339.
    2. Palmer, Geraint I. & Harper, Paul R. & Knight, Vincent A., 2018. "Modelling deadlock in open restricted queueing networks," European Journal of Operational Research, Elsevier, vol. 266(2), pages 609-621.
    3. Osorio, Carolina & Bierlaire, Michel, 2009. "An analytic finite capacity queueing network model capturing the propagation of congestion and blocking," European Journal of Operational Research, Elsevier, vol. 196(3), pages 996-1007, August.
    4. Tako, Antuela A. & Robinson, Stewart, 2010. "Model development in discrete-event simulation and system dynamics: An empirical study of expert modellers," European Journal of Operational Research, Elsevier, vol. 207(2), pages 784-794, December.
    5. A A Tako & S Robinson, 2009. "Comparing discrete-event simulation and system dynamics: users' perceptions," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(3), pages 296-312, March.

  64. Antonio G. Chessa & Rommert Dekker & Bas Van Vliet & Ewout W. Steyerberg & J. Dik F. Habbema, 1999. "Correlations in Uncertainty Analysis for Medical Decision Making," Medical Decision Making, , vol. 19(3), pages 276-286, August.

    Cited by:

    1. A. E. Ades & Karl Claxton & Mark Sculpher, 2006. "Evidence synthesis, parameter correlation and probabilistic sensitivity analysis," Health Economics, John Wiley & Sons, Ltd., vol. 15(4), pages 373-381, April.
    2. Tan, S.Y.G.L. & van Oortmarssen, G.J. & Piersma, N., 2000. "Estimting parameters of a microsimulation model for breast cancer screening using the score function method," Econometric Institute Research Papers EI 2000-35/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    3. Luis V. Montiel & J. Eric Bickel, 2012. "A Simulation-Based Approach to Decision Making with Partial Information," Decision Analysis, INFORMS, vol. 9(4), pages 329-347, December.

  65. van der Laan, Erwin & Salomon, Marc & Dekker, Rommert, 1999. "An investigation of lead-time effects in manufacturing/remanufacturing systems under simple PUSH and PULL control strategies," European Journal of Operational Research, Elsevier, vol. 115(1), pages 195-214, May.

    Cited by:

    1. Ta-Yu Chen & Woo-Tsong Lin & Chwen Sheu, 2018. "A Dynamic Failure Rate Forecasting Model for Service Parts Inventory," Sustainability, MDPI, vol. 10(7), pages 1-23, July.
    2. Tang, Ou & Grubbstrom, Robert W., 2005. "Considering stochastic lead times in a manufacturing/remanufacturing system with deterministic demands and returns," International Journal of Production Economics, Elsevier, vol. 93(1), pages 285-300, January.
    3. Zhou, Li & Naim, Mohamed M. & Disney, Stephen M., 2017. "The impact of product returns and remanufacturing uncertainties on the dynamic performance of a multi-echelon closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 487-502.
    4. Hsueh, Che-Fu, 2011. "An inventory control model with consideration of remanufacturing and product life cycle," International Journal of Production Economics, Elsevier, vol. 133(2), pages 645-652, October.
    5. Kiesmuller, G. P., 2003. "A new approach for controlling a hybrid stochastic manufacturing/remanufacturing system with inventories and different leadtimes," European Journal of Operational Research, Elsevier, vol. 147(1), pages 62-71, May.
    6. María Arquer & Borja Ponte & Raúl Pino, 2022. "Examining the balance between efficiency and resilience in closed-loop supply chains," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 30(4), pages 1307-1336, December.
    7. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    8. Fei Zhang & Zailin Guan & Li Zhang & Yanyan Cui & Pengxing Yi & Saif Ullah, 2019. "Inventory management for a remanufacture-to-order production with multi-components (parts)," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 59-78, January.
    9. Jian Yang & Boaz Golany & Gang Yu, 2005. "A concave‐cost production planning problem with remanufacturing options," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 443-458, August.
    10. Z P Bayındır & N Erkip & R Güllü, 2005. "Assessing the benefits of remanufacturing option under one-way substitution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 286-296, March.
    11. Tang, Ou & Grubbstrom, Robert W. & Zanoni, Simone, 2007. "Planned lead time determination in a make-to-order remanufacturing system," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 426-435, July.
    12. Hosoda, Takamichi & Disney, Stephen M. & Gavirneni, Srinagesh, 2015. "The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains," European Journal of Operational Research, Elsevier, vol. 246(3), pages 827-836.
    13. Amirmohsen Golmohammadi & Alireza Tajbakhsh & Mohamed Dia & Pawoumodom M. Takouda, 2022. "Effect of timing on reliability improvement and ordering decisions in a decentralized assembly system," Annals of Operations Research, Springer, vol. 312(1), pages 159-192, May.
    14. Nativi, Juan Jose & Lee, Seokcheon, 2012. "Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 136(2), pages 366-377.
    15. Bayindir, Z. Pelin & Erkip, Nesim & Gullu, Refik, 2003. "A model to evaluate inventory costs in a remanufacturing environment," International Journal of Production Economics, Elsevier, vol. 81(1), pages 597-607, January.
    16. Kiesmuller, G. P., 2003. "Optimal control of a one product recovery system with leadtimes," International Journal of Production Economics, Elsevier, vol. 81(1), pages 333-340, January.
    17. Elnaz Kanani Kuchesfehani & Elena M. Parilina & Georges Zaccour, 2023. "Revenue and cost sharing contract in a dynamic closed-loop supply chain with uncertain parameters," Annals of Operations Research, Springer, vol. 322(2), pages 851-877, March.
    18. Erwin van der Laan & Marc Salomon & Rommert Dekker & Luk Van Wassenhove, 1999. "Inventory Control in Hybrid Systems with Remanufacturing," Management Science, INFORMS, vol. 45(5), pages 733-747, May.
    19. Ahiska, S. Sebnem & King, Russell E., 2010. "Life cycle inventory policy characterizations for a single-product recoverable system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 51-61, March.
    20. Ponte, Borja & Cannella, Salvatore & Dominguez, Roberto & Naim, Mohamed M. & Syntetos, Aris A., 2021. "Quality grading of returns and the dynamics of remanufacturing," International Journal of Production Economics, Elsevier, vol. 236(C).
    21. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.
    22. Hosoda, Takamichi & Disney, Stephen M., 2018. "A unified theory of the dynamics of closed-loop supply chains," European Journal of Operational Research, Elsevier, vol. 269(1), pages 313-326.
    23. Hosoda, Takamichi & Disney, Stephen M. & Zhou, Li, 2021. "The yield rate paradox in closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 239(C).
    24. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    25. Pinçe, Çerag & Gürler, Ülkü & Berk, Emre, 2008. "A continuous review replenishment-disposal policy for an inventory system with autonomous supply and fixed disposal costs," European Journal of Operational Research, Elsevier, vol. 190(2), pages 421-442, October.
    26. Sheu, Jiuh-Biing & Chen, Yenming J., 2012. "Impact of government financial intervention on competition among green supply chains," International Journal of Production Economics, Elsevier, vol. 138(1), pages 201-213.
    27. Bayindir, Z.P. & Erkip, N. & Gullu, R., 2003. "Assessing the benefits of remanufacturing option under one-way substitution and capacity constraint," Econometric Institute Research Papers EI 2003-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    28. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2016. "A general production and recovery EOQ model with stationary demand and return rates," Discussion Papers 378, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.

  66. Frenk, J. B. G. & Kleijn, M. J. & Dekker, R., 1999. "An efficient algorithm for a generalized joint replenishment problem," European Journal of Operational Research, Elsevier, vol. 118(2), pages 413-428, October.
    See citations under working paper version above.
  67. Erwin van der Laan & Marc Salomon & Rommert Dekker & Luk Van Wassenhove, 1999. "Inventory Control in Hybrid Systems with Remanufacturing," Management Science, INFORMS, vol. 45(5), pages 733-747, May.

    Cited by:

    1. Huihui Liu & Xiaohang Yue & Hui Ding & G. Keong Leong, 2017. "Optimal Remanufacturing Certification Contracts in the Electrical and Electronic Industry," Sustainability, MDPI, vol. 9(4), pages 1-17, March.
    2. Zhou, Li & Naim, Mohamed M. & Ou Tang & Towill, Denis R., 2006. "Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process," Omega, Elsevier, vol. 34(6), pages 585-598, December.
    3. Liu, Wenjie & Liu, Wei & Shen, Ningning & Xu, Zhitao & Xie, Naiming & Chen, Jian & Zhou, Huiyu, 2022. "Pricing and collection decisions of a closed-loop supply chain with fuzzy demand," International Journal of Production Economics, Elsevier, vol. 245(C).
    4. Fleischmann, Moritz & Kuik, Roelof, 2003. "On optimal inventory control with independent stochastic item returns," European Journal of Operational Research, Elsevier, vol. 151(1), pages 25-37, November.
    5. Robotis, Andreas & Bhattacharya, Shantanu & Van Wassenhove, Luk N., 2005. "The effect of remanufacturing on procurement decisions for resellers in secondary markets," European Journal of Operational Research, Elsevier, vol. 163(3), pages 688-705, June.
    6. Ruud H. Teunter, 2001. "Economic ordering quantities for recoverable item inventory systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(6), pages 484-495, September.
    7. de Brito, Marisa P. & van der Laan, Erwin A., 2009. "Inventory control with product returns: The impact of imperfect information," European Journal of Operational Research, Elsevier, vol. 194(1), pages 85-101, April.
    8. Vladimir Polotski & Jean-Pierre Kenne & Ali Gharbi, 2017. "Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3766-3787, July.
    9. Dong, Yachao & Maravelias, Christos T., 2021. "Terminal inventory level constraints for online production scheduling," European Journal of Operational Research, Elsevier, vol. 295(1), pages 102-117.
    10. Hsueh, Che-Fu, 2011. "An inventory control model with consideration of remanufacturing and product life cycle," International Journal of Production Economics, Elsevier, vol. 133(2), pages 645-652, October.
    11. Zahraei, Seyed Mehdi & Teo, Chee-Chong, 2018. "Optimizing a recover-and-assemble remanufacturing system with production smoothing," International Journal of Production Economics, Elsevier, vol. 197(C), pages 330-341.
    12. Gernot Lechner & Marc Reimann, 2013. "The effect of active used product acquisition on manufacturing and remanufacturing strategies," Working Paper Series, Social and Economic Sciences 2013-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    13. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    14. Kilic, Onur A. & Tunc, Huseyin & Tarim, S. Armagan, 2018. "Heuristic policies for the stochastic economic lot sizing problem with remanufacturing under service level constraints," European Journal of Operational Research, Elsevier, vol. 267(3), pages 1102-1109.
    15. van der Laan, E.A. & Teunter, R.H., 2004. "Simple heuristics for push and pull remanufacturing policies," Econometric Institute Research Papers EI 2004-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. van der Laan, Erwin, 2003. "An NPV and AC analysis of a stochastic inventory system with joint manufacturing and remanufacturing," International Journal of Production Economics, Elsevier, vol. 81(1), pages 317-331, January.
    17. Flapper, Simme Douwe & Gayon, Jean-Philippe & Lim, Lâm Laurent, 2014. "On the optimal control of manufacturing and remanufacturing activities with a single shared server," European Journal of Operational Research, Elsevier, vol. 234(1), pages 86-98.
    18. Inderfurth, Karl, 2004. "Optimal policies in hybrid manufacturing/remanufacturing systems with product substitution," International Journal of Production Economics, Elsevier, vol. 90(3), pages 325-343, August.
    19. De Giovanni, Pietro & Zaccour, Georges, 2014. "A two-period game of a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 232(1), pages 22-40.
    20. Teunter, R.H. & van der Laan, E.A., 2003. "Valuation of inventories in systems with product recovery," Econometric Institute Research Papers EI 2003-29, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    21. de Brito, M.P. & Dekker, R., 2001. "Modelling product returns in inventory control - exploring the validity or general assumptions," Econometric Institute Research Papers EI 2001-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    22. Jonathan Sze Choong Low & Yen Ting Ng, 2018. "Improving the Economic Performance of Remanufacturing Systems through Flexible Design Strategies: A Case Study Based on Remanufacturing Laptop Computers for the Cambodian Market," Business Strategy and the Environment, Wiley Blackwell, vol. 27(4), pages 503-527, May.
    23. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    24. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
    25. Krikke, H.R. & van der Laan, E., 2009. "Last Time Buy and Control Policies With Phase-Out Returns : A Case Study in Plant Control Systems," Discussion Paper 2009-66, Tilburg University, Center for Economic Research.
    26. Sunder Kekre & Uday S. Rao & Jayashankar M. Swaminathan & Jun Zhang, 2003. "Reconfiguring a Remanufacturing Line at Visteon, Mexico," Interfaces, INFORMS, vol. 33(6), pages 30-43, December.
    27. Milind Dawande & Mili Mehrotra & Vijay Mookerjee & Chelliah Sriskandarajah, 2010. "An Analysis of Coordination Mechanisms for the U.S. Cash Supply Chain," Management Science, INFORMS, vol. 56(3), pages 553-570, March.
    28. Xiting Gong & Xiuli Chao, 2013. "Technical Note---Optimal Control Policy for Capacitated Inventory Systems with Remanufacturing," Operations Research, INFORMS, vol. 61(3), pages 603-611, June.
    29. Wei, Cansheng & Li, Yongjian & Cai, Xiaoqiang, 2011. "Robust optimal policies of production and inventory with uncertain returns and demand," International Journal of Production Economics, Elsevier, vol. 134(2), pages 357-367, December.
    30. Mahadevan, B. & Pyke, David F. & Fleischmann, Moritz, 2003. "Periodic review, push inventory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 151(3), pages 536-551, December.
    31. Jian Yang & Boaz Golany & Gang Yu, 2005. "A concave‐cost production planning problem with remanufacturing options," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 443-458, August.
    32. Ponte, Borja & Dominguez, Roberto & Cannella, Salvatore & Framinan, Jose M., 2022. "The implications of batching in the bullwhip effect and customer service of closed-loop supply chains," International Journal of Production Economics, Elsevier, vol. 244(C).
    33. Roland Geyer & Luk N. Van Wassenhove & Atalay Atasu, 2007. "The Economics of Remanufacturing Under Limited Component Durability and Finite Product Life Cycles," Management Science, INFORMS, vol. 53(1), pages 88-100, January.
    34. Z P Bayındır & N Erkip & R Güllü, 2005. "Assessing the benefits of remanufacturing option under one-way substitution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 286-296, March.
    35. Soumita Kundu & Tripti Chakrabarti & Dipak Kumar Jana, 2014. "Optimal Manufacturing-Remanufacturing Production Policy for a Closed-Loop Supply Chain under Fill Rate and Budget Constraint in Bifuzzy Environments," International Journal of Mathematics and Mathematical Sciences, Hindawi, vol. 2014, pages 1-14, June.
    36. Corbacioglu, Umut & van der Laan, Erwin A., 2007. "Setting the holding cost rates in a two-product system with remanufacturing," International Journal of Production Economics, Elsevier, vol. 109(1-2), pages 185-194, September.
    37. Huang, Shui-Mu & Su, Jack C.P., 2013. "Impact of product proliferation on the reverse supply chain," Omega, Elsevier, vol. 41(3), pages 626-639.
    38. Robotis, Andreas & Boyaci, Tamer & Verter, Vedat, 2012. "Investing in reusability of products of uncertain remanufacturing cost: The role of inspection capabilities," International Journal of Production Economics, Elsevier, vol. 140(1), pages 385-395.
    39. Cai, Xiaoqiang & Lai, Minghui & Li, Xiang & Li, Yongjian & Wu, Xianyi, 2014. "Optimal acquisition and production policy in a hybrid manufacturing/remanufacturing system with core acquisition at different quality levels," European Journal of Operational Research, Elsevier, vol. 233(2), pages 374-382.
    40. Sean X. Zhou & Yikun Yu, 2011. "TECHNICAL NOTE---Optimal Product Acquisition, Pricing, and Inventory Management for Systems with Remanufacturing," Operations Research, INFORMS, vol. 59(2), pages 514-521, April.
    41. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2005. "Market Segmentation and Product Technology Selection for Remanufacturable Products," Management Science, INFORMS, vol. 51(8), pages 1193-1205, August.
    42. Hosoda, Takamichi & Disney, Stephen M. & Gavirneni, Srinagesh, 2015. "The impact of information sharing, random yield, correlation, and lead times in closed loop supply chains," European Journal of Operational Research, Elsevier, vol. 246(3), pages 827-836.
    43. Shi, Jianmai & Zhang, Guoqing & Sha, Jichang, 2011. "Optimal production and pricing policy for a closed loop system," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 639-647.
    44. Sebnem Ahiska, S. & King, Russell E., 2010. "Inventory optimization in a one product recoverable manufacturing system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 11-19, March.
    45. de Koster, M.B.M. & de Brito, M.P. & van de Vendel, M.A., 2002. "How to organise return handling; an exploratory study with nine retailer warehouses," Econometric Institute Research Papers EI 2002-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    46. Nativi, Juan Jose & Lee, Seokcheon, 2012. "Impact of RFID information-sharing strategies on a decentralized supply chain with reverse logistics operations," International Journal of Production Economics, Elsevier, vol. 136(2), pages 366-377.
    47. Teunter, R.H. & van der Laan, E.A. & Vlachos, D., 2002. "Inventory strategies for systems with fast remanufacturing," ERIM Report Series Research in Management ERS-2002-77-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    48. Bayindir, Z. Pelin & Erkip, Nesim & Gullu, Refik, 2003. "A model to evaluate inventory costs in a remanufacturing environment," International Journal of Production Economics, Elsevier, vol. 81(1), pages 597-607, January.
    49. Huynh, Candice H. & So, Kut C. & Gurnani, Haresh, 2016. "Managing a closed-loop supply system with random returns and a cyclic delivery schedule," European Journal of Operational Research, Elsevier, vol. 255(3), pages 787-796.
    50. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.
    51. Fleischmann, M. & van Nunen, J.A.E.E. & Graeve, B., 2002. "Integrating Closed-loop Supply Chains and Spare Parts Management at IBM," ERIM Report Series Research in Management ERS-2002-107-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    52. Sajad Karimi & Zaniar Ardalan & Omid Poursabzi & B. Naderi, 2023. "Toward a safe supply chain: Incorporating accident, physical, psychosocial and mental overload risks into supply chain network," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 25(6), pages 5579-5595, June.
    53. Wenyuan Wang & Daniel Y. Mo & Yue Wang & Mitchell M. Tseng, 2019. "Assessing the cost structure of component reuse in a product family for remanufacturing," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 575-587, February.
    54. Ahiska, S. Sebnem & King, Russell E., 2010. "Life cycle inventory policy characterizations for a single-product recoverable system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 51-61, March.
    55. Ponte, Borja & Cannella, Salvatore & Dominguez, Roberto & Naim, Mohamed M. & Syntetos, Aris A., 2021. "Quality grading of returns and the dynamics of remanufacturing," International Journal of Production Economics, Elsevier, vol. 236(C).
    56. Lin, Junyi & Zhou, Li & Spiegler, Virginia L.M. & Naim, Mohamed M. & Syntetos, Aris, 2022. "Push or Pull? The impact of ordering policy choice on the dynamics of a hybrid closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 300(1), pages 282-295.
    57. Sean X. Zhou & Zhijie Tao & Xiuli Chao, 2011. "Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 20-34, March.
    58. Fleischmann, Moritz & Kuik, Roelof & Dekker, Rommert, 2002. "Controlling inventories with stochastic item returns: A basic model," European Journal of Operational Research, Elsevier, vol. 138(1), pages 63-75, April.
    59. Geraldo Ferrer & Jayashankar M. Swaminathan, 2006. "Managing New and Remanufactured Products," Management Science, INFORMS, vol. 52(1), pages 15-26, January.
    60. Assid, M. & Gharbi, A. & Hajji, A., 2020. "Production control of failure-prone manufacturing-remanufacturing systems using mixed dedicated and shared facilities," International Journal of Production Economics, Elsevier, vol. 224(C).
    61. Chen, Jen-Ming & Chang, Chia-I, 2012. "The co-opetitive strategy of a closed-loop supply chain with remanufacturing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 387-400.
    62. Devika, K. & Jafarian, A. & Nourbakhsh, V., 2014. "Designing a sustainable closed-loop supply chain network based on triple bottom line approach: A comparison of metaheuristics hybridization techniques," European Journal of Operational Research, Elsevier, vol. 235(3), pages 594-615.
    63. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    64. V. Daniel R. Guide & Luk N. Van Wassenhove, 2009. "OR FORUM---The Evolution of Closed-Loop Supply Chain Research," Operations Research, INFORMS, vol. 57(1), pages 10-18, February.
    65. Sungwook Yoon & Sukjae Jeong, 2017. "Investment Strategy in a Closed Loop Supply Chain: The Case of a Market with Competition between Two Retailers," Sustainability, MDPI, vol. 9(10), pages 1-32, September.
    66. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    67. Prahinski, Carol & Kocabasoglu, Canan, 2006. "Empirical research opportunities in reverse supply chains," Omega, Elsevier, vol. 34(6), pages 519-532, December.
    68. Zhixin Chen & Shijian Hong & Xiang Ji & Ruixia Shi & Jie Wu, 2022. "Refurbished products and supply chain incentives," Annals of Operations Research, Springer, vol. 310(1), pages 27-47, March.
    69. Kate J. Li & Duncan K. H. Fong & Susan H. Xu, 2011. "Managing Trade-in Programs Based on Product Characteristics and Customer Heterogeneity in Business-to-Business Markets," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 108-123, October.
    70. Polotski, Vladimir & Kenne, Jean-Pierre & Gharbi, Ali, 2017. "Production and setup policy optimization for hybrid manufacturing–remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 322-333.
    71. Ye, Yu-Sen & Ma, Zu-Jun & Dai, Ying, 2016. "The price of anarchy in competitive reverse supply chains with quality-dependent price-only contracts," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 89(C), pages 86-107.
    72. Linton, Jonathan D. & Yeomans, J. Scott & Yoogalingam, Reena, 2005. "Recovery and reclamation of durable goods: a study of television CRTs," Resources, Conservation & Recycling, Elsevier, vol. 43(4), pages 337-352.
    73. Tang, Christopher S. & Zhou, Sean, 2012. "Research advances in environmentally and socially sustainable operations," European Journal of Operational Research, Elsevier, vol. 223(3), pages 585-594.

  68. Dekker, R. & Kleijn, M. J. & de Rooij, P. J., 1998. "A spare parts stocking policy based on equipment criticality," International Journal of Production Economics, Elsevier, vol. 56(1), pages 69-77, September.
    See citations under working paper version above.
  69. Barros, A. I. & Dekker, R. & Scholten, V., 1998. "A two-level network for recycling sand: A case study," European Journal of Operational Research, Elsevier, vol. 110(2), pages 199-214, October.

    Cited by:

    1. Camilo Ortiz-Astorquiza & Ivan Contreras & Gilbert Laporte, 2019. "An Exact Algorithm for Multilevel Uncapacitated Facility Location," Transportation Science, INFORMS, vol. 53(4), pages 1085-1106, July.
    2. Choudhary, Alok & Sarkar, Sagar & Settur, Srikar & Tiwari, M.K., 2015. "A carbon market sensitive optimization model for integrated forward–reverse logistics," International Journal of Production Economics, Elsevier, vol. 164(C), pages 433-444.
    3. Wang, Ziping & Yao, Dong-Qing & Huang, Peiqing, 2007. "A new location-inventory policy with reverse logistics applied to B2C e-markets of China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 350-363, June.
    4. Kristin Sahyouni & R. Canan Savaskan & Mark S. Daskin, 2007. "A Facility Location Model for Bidirectional Flows," Transportation Science, INFORMS, vol. 41(4), pages 484-499, November.
    5. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    6. Schweiger, Katharina & Sahamie, Ramin, 2013. "A hybrid Tabu Search approach for the design of a paper recycling network," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 98-119.
    7. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    8. Karatas, Mumtaz & Eriskin, Levent, 2023. "Linear and piecewise linear formulations for a hierarchical facility location and sizing problem," Omega, Elsevier, vol. 118(C).
    9. Christoph Meyer & Matthias G. Wichmann & Thomas S. Spengler, 2016. "Management of recycling operations for iron and steel making slags," Journal of Business Economics, Springer, vol. 86(7), pages 773-808, October.
    10. Wei Zhong & Zhicai Juan & Fang Zong & Huishuang Su, 2018. "Hierarchical hub location model and hybrid algorithm for integration of urban and rural public transport," International Journal of Distributed Sensor Networks, , vol. 14(4), pages 15501477187, April.
    11. de Brito, M.P. & Flapper, S.D.P. & Dekker, R., 2002. "Reverse logistics," Econometric Institute Research Papers EI 2002-21, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    12. Drexl, Andreas & Klose, Andreas, 2001. "Facility location models for distribution system design," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 546, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    13. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
    14. Min, Hokey & Jeung Ko, Hyun & Seong Ko, Chang, 2006. "A genetic algorithm approach to developing the multi-echelon reverse logistics network for product returns," Omega, Elsevier, vol. 34(1), pages 56-69, January.
    15. Rahman, Shams & Subramanian, Nachiappan, 2012. "Factors for implementing end-of-life computer recycling operations in reverse supply chains," International Journal of Production Economics, Elsevier, vol. 140(1), pages 239-248.
    16. Listes, O.L. & Dekker, R., 2001. "Stochastic approaches for product recovery network design: a case study," Econometric Institute Research Papers EI 2001-08, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    17. Ortiz-Astorquiza, Camilo & Contreras, Ivan & Laporte, Gilbert, 2018. "Multi-level facility location problems," European Journal of Operational Research, Elsevier, vol. 267(3), pages 791-805.
    18. Fleischmann, Mortiz & Krikke, Hans Ronald & Dekker, Rommert & Flapper, Simme Douwe P., 2000. "A characterisation of logistics networks for product recovery," Omega, Elsevier, vol. 28(6), pages 653-666, December.
    19. de Brito, M.P. & Dekker, R. & Flapper, S.D.P., 2003. "Reverse Logistics - a review of case studies," ERIM Report Series Research in Management ERS-2003-012-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    20. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2007. "An optimization model for the design of a capacitated multi-product reverse logistics network with uncertainty," European Journal of Operational Research, Elsevier, vol. 179(3), pages 1063-1077, June.
    21. Ajayi, Saheed O. & Oyedele, Lukumon O. & Bilal, Muhammad & Akinade, Olugbenga O. & Alaka, Hafiz A. & Owolabi, Hakeem A. & Kadiri, Kabir O., 2015. "Waste effectiveness of the construction industry: Understanding the impediments and requisites for improvements," Resources, Conservation & Recycling, Elsevier, vol. 102(C), pages 101-112.
    22. Kilic, Huseyin Selcuk & Cebeci, Ufuk & Ayhan, Mustafa Batuhan, 2015. "Reverse logistics system design for the waste of electrical and electronic equipment (WEEE) in Turkey," Resources, Conservation & Recycling, Elsevier, vol. 95(C), pages 120-132.
    23. Chouinard, Marc & D'Amours, Sophie & Aït-Kadi, Daoud, 2008. "A stochastic programming approach for designing supply loops," International Journal of Production Economics, Elsevier, vol. 113(2), pages 657-677, June.
    24. Pradip K. Bhaumik, 2015. "Supply Chain Network Design Based on Integration of Forward and Reverse Logistics," Global Business Review, International Management Institute, vol. 16(4), pages 680-699, August.
    25. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    26. Hong, I-Hsuan & Ammons, Jane C. & Realff, Matthew J., 2008. "Decentralized decision-making and protocol design for recycled material flows," International Journal of Production Economics, Elsevier, vol. 116(2), pages 325-337, December.
    27. Holzapfel, Andreas & Kuhn, Heinrich & Sternbeck, Michael G., 2018. "Product allocation to different types of distribution center in retail logistics networks," European Journal of Operational Research, Elsevier, vol. 264(3), pages 948-966.
    28. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    29. Aksen, Deniz & Aras, Necati & Karaarslan, Ayse Gönül, 2009. "Design and analysis of government subsidized collection systems for incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 119(2), pages 308-327, June.
    30. Fleischmann, M., 2001. "Reverse Logistics Network Structures and Design," ERIM Report Series Research in Management ERS-2001-52-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    31. Listes, O.L., 2002. "A decomposition approach to a stochastic model for supply-and-return network design," Econometric Institute Research Papers EI 2002-43, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    32. Khatami, Maryam & Mahootchi, Masoud & Farahani, Reza Zanjirani, 2015. "Benders’ decomposition for concurrent redesign of forward and closed-loop supply chain network with demand and return uncertainties," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 1-21.
    33. Aras, Necati & Aksen, Deniz, 2008. "Locating collection centers for distance- and incentive-dependent returns," International Journal of Production Economics, Elsevier, vol. 111(2), pages 316-333, February.
    34. Le Blanc, H.M. & Fleuren, H.A. & Krikke, H.R., 2002. "Network Designs for LPG Tanks in the Netherlands," Discussion Paper 2002-1, Tilburg University, Center Applied Research.
    35. Salema, Maria Isabel Gomes & Barbosa-Povoa, Ana Paula & Novais, Augusto Q., 2010. "Simultaneous design and planning of supply chains with reverse flows: A generic modelling framework," European Journal of Operational Research, Elsevier, vol. 203(2), pages 336-349, June.
    36. Ayvaz, Berk & Bolat, Bersam & Aydın, Nezir, 2015. "Stochastic reverse logistics network design for waste of electrical and electronic equipment," Resources, Conservation & Recycling, Elsevier, vol. 104(PB), pages 391-404.
    37. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    38. Mahmoudzadeh, Mahdi & Mansour, Saeed & Karimi, Behrouz, 2013. "To develop a third-party reverse logistics network for end-of-life vehicles in Iran," Resources, Conservation & Recycling, Elsevier, vol. 78(C), pages 1-14.
    39. Min, Hokey & Ko, Hyun-Jeung, 2008. "The dynamic design of a reverse logistics network from the perspective of third-party logistics service providers," International Journal of Production Economics, Elsevier, vol. 113(1), pages 176-192, May.
    40. Fatih Rahim & Canan Sepil, 2014. "A location-routing problem in glass recycling," Annals of Operations Research, Springer, vol. 223(1), pages 329-353, December.
    41. Krikke, H.R. & Bloemhof-Ruwaard, J.M. & Van Wassenhove, L.N., 2001. "Design of Closed Loop Supply Chains," ERIM Report Series Research in Management ERS-2001-45-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    42. Mohammad Fattahi & Kannan Govindan, 2017. "Integrated forward/reverse logistics network design under uncertainty with pricing for collection of used products," Annals of Operations Research, Springer, vol. 253(1), pages 193-225, June.
    43. Vahdani, Behnam & Tavakkoli-Moghaddam, Reza & Modarres, Mohammad & Baboli, Armand, 2012. "Reliable design of a forward/reverse logistics network under uncertainty: A robust-M/M/c queuing model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1152-1168.
    44. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
    45. Grekova, K. & Bremmers, H.J. & Trienekens, J.H. & Kemp, R.G.M. & Omta, S.W.F., 2014. "Extending environmental management beyond the firm boundaries: An empirical study of Dutch food and beverage firms," International Journal of Production Economics, Elsevier, vol. 152(C), pages 174-187.
    46. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    47. Fröhling, Magnus & Schwaderer, Frank & Bartusch, Hauke & Rentz, Otto, 2010. "Integrated planning of transportation and recycling for multiple plants based on process simulation," European Journal of Operational Research, Elsevier, vol. 207(2), pages 958-970, December.
    48. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
    49. M I Salema & A P B Póvoa & A Q Novais, 2006. "A warehouse-based design model for reverse logistics," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(6), pages 615-629, June.
    50. Klose, Andreas & Drexl, Andreas, 2005. "Facility location models for distribution system design," European Journal of Operational Research, Elsevier, vol. 162(1), pages 4-29, April.
    51. Yuh-Shan Ho, 2019. "Comment on Chen, J.; Su, Y.; Si, H.; Chen, J. Managerial Areas of Construction and Demolition Waste: A Scientometric Review. Int. J. Environ. Res. Public Health 2018, 15 , 2350," IJERPH, MDPI, vol. 16(10), pages 1-4, May.
    52. Listes, Ovidiu & Dekker, Rommert, 2005. "A stochastic approach to a case study for product recovery network design," European Journal of Operational Research, Elsevier, vol. 160(1), pages 268-287, January.
    53. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    54. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    55. Yong-Tong Chen & Zhong-Chen Cao, 2020. "An Investigation on a Closed-Loop Supply Chain of Product Recycling Using a Multi-Agent and Priority Based Genetic Algorithm Approach," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    56. Jayaraman, Vaidyanathan & Patterson, Raymond A. & Rolland, Erik, 2003. "The design of reverse distribution networks: Models and solution procedures," European Journal of Operational Research, Elsevier, vol. 150(1), pages 128-149, October.

  70. Dekker, R. & Kleijn, M. J. & de Kok, A. G., 1998. "The break quantity rule's effect on inventory costs in a 1-warehouse, N-retailers distribution system," International Journal of Production Economics, Elsevier, vol. 56(1), pages 61-68, September.

    Cited by:

    1. de Kok, Ton & Grob, Christopher & Laumanns, Marco & Minner, Stefan & Rambau, Jörg & Schade, Konrad, 2018. "A typology and literature review on stochastic multi-echelon inventory models," European Journal of Operational Research, Elsevier, vol. 269(3), pages 955-983.
    2. Karzan Mahdi Ghafour & Nerda ZuraZaibidi, 2014. "A Simulation Approach to Determine the Probability of Demand during Lead-Time When Demand Distributed Normal and Lead-Time Distributed Gamma," Journal of Economics and Behavioral Studies, AMH International, vol. 6(11), pages 840-847.
    3. Minner, Stefan, 2003. "Multiple-supplier inventory models in supply chain management: A review," International Journal of Production Economics, Elsevier, vol. 81(1), pages 265-279, January.

  71. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.

    Cited by:

    1. Chen, Chialin & Monahan, George E., 2010. "Environmental safety stock: The impacts of regulatory and voluntary control policies on production planning, inventory control, and environmental performance," European Journal of Operational Research, Elsevier, vol. 207(3), pages 1280-1292, December.
    2. Wang, Ziping & Yao, Dong-Qing & Huang, Peiqing, 2007. "A new location-inventory policy with reverse logistics applied to B2C e-markets of China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 350-363, June.
    3. Gou, Qinglong & Liang, Liang & Huang, Zhimin & Xu, Chuanyong, 2008. "A joint inventory model for an open-loop reverse supply chain," International Journal of Production Economics, Elsevier, vol. 116(1), pages 28-42, November.
    4. Yıldız, Gazi Bilal & Soylu, Banu, 2019. "A multiobjective post-sales guarantee and repair services network design problem," International Journal of Production Economics, Elsevier, vol. 216(C), pages 305-320.
    5. Ferrer, Geraldo & Swaminathan, Jayashankar M., 2010. "Managing new and differentiated remanufactured products," European Journal of Operational Research, Elsevier, vol. 203(2), pages 370-379, June.
    6. Polotski, V. & Kenne, J.-P. & Gharbi, A., 2019. "Joint production and maintenance optimization in flexible hybrid Manufacturing–Remanufacturing systems under age-dependent deterioration," International Journal of Production Economics, Elsevier, vol. 216(C), pages 239-254.
    7. Liu, Huihui & Lei, Ming & Deng, Honghui & Keong Leong, G. & Huang, Tao, 2016. "A dual channel, quality-based price competition model for the WEEE recycling market with government subsidy," Omega, Elsevier, vol. 59(PB), pages 290-302.
    8. Sara Al-Haidous & Tareq Al-Ansari, 2019. "Sustainable Liquefied Natural Gas Supply Chain Management: A Review of Quantitative Models," Sustainability, MDPI, vol. 12(1), pages 1-23, December.
    9. Zhou, Li & Naim, Mohamed M. & Ou Tang & Towill, Denis R., 2006. "Dynamic performance of a hybrid inventory system with a Kanban policy in remanufacturing process," Omega, Elsevier, vol. 34(6), pages 585-598, December.
    10. Thomas Sloan, 2007. "Safety-cost trade-offs in medical device reuse: a Markov decision process model," Health Care Management Science, Springer, vol. 10(1), pages 81-93, February.
    11. Kumar, V.N.S.A. & Kumar, V. & Brady, M. & Garza-Reyes, Jose Arturo & Simpson, M., 2017. "Resolving forward-reverse logistics multi-period model using evolutionary algorithms," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 458-469.
    12. Gopalakrishnan Easwaran & Halit Üster, 2009. "Tabu Search and Benders Decomposition Approaches for a Capacitated Closed-Loop Supply Chain Network Design Problem," Transportation Science, INFORMS, vol. 43(3), pages 301-320, August.
    13. Van der Heide, G. & Roodbergen, K.J., 2013. "Transshipment and rebalancing policies for library books," European Journal of Operational Research, Elsevier, vol. 228(2), pages 447-456.
    14. Liao, Haolan & Zhang, Qingyu & Shen, Neng & Nie, Yongyou & Li, Lu, 2021. "Coordination between forward and reverse production streams for maximum profitability," Omega, Elsevier, vol. 104(C).
    15. ReVelle, C. S. & Eiselt, H. A., 2005. "Location analysis: A synthesis and survey," European Journal of Operational Research, Elsevier, vol. 165(1), pages 1-19, August.
    16. Chan, Chi Kin & Man, Nora & Fang, Fei & Campbell, J.F., 2020. "Supply chain coordination with reverse logistics: A vendor/recycler-buyer synchronized cycles model," Omega, Elsevier, vol. 95(C).
    17. Tang, Ou & Grubbstrom, Robert W., 2005. "Considering stochastic lead times in a manufacturing/remanufacturing system with deterministic demands and returns," International Journal of Production Economics, Elsevier, vol. 93(1), pages 285-300, January.
    18. Talat Genc & Pietro De Giovanni, 2018. "Closed-loop Supply Chain Games with Innovation-led Lean Programs and Sustainability," Working Papers 1803, University of Guelph, Department of Economics and Finance.
    19. Özceylan, Eren & Paksoy, Turan & Bektaş, Tolga, 2014. "Modeling and optimizing the integrated problem of closed-loop supply chain network design and disassembly line balancing," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 142-164.
    20. Gołębiewski, Bronisław & Trajer, Jędrzej & Jaros, Małgorzata & Winiczenko, Radosław, 2013. "Modelling of the location of vehicle recycling facilities: A case study in Poland," Resources, Conservation & Recycling, Elsevier, vol. 80(C), pages 10-20.
    21. Abdelkader Sbihi & Richard Eglese, 2010. "Combinatorial optimization and Green Logistics," Annals of Operations Research, Springer, vol. 175(1), pages 159-175, March.
    22. Marcus Brandenburg & Tim Gruchmann & Nelly Oelze, 2019. "Sustainable Supply Chain Management—A Conceptual Framework and Future Research Perspectives," Sustainability, MDPI, vol. 11(24), pages 1-15, December.
    23. Gregory DeCroix & Jing-Sheng Song & Paul Zipkin, 2005. "A Series System with Returns: Stationary Analysis," Operations Research, INFORMS, vol. 53(2), pages 350-362, April.
    24. Van Engeland, Jens & Beliën, Jeroen & De Boeck, Liesje & De Jaeger, Simon, 2020. "Literature review: Strategic network optimization models in waste reverse supply chains," Omega, Elsevier, vol. 91(C).
    25. Fleischmann, Moritz & Kuik, Roelof, 2003. "On optimal inventory control with independent stochastic item returns," European Journal of Operational Research, Elsevier, vol. 151(1), pages 25-37, November.
    26. Ze-Bin Wang & Yao-Yu Wang & Jian-Cai Wang, 2016. "Optimal distribution channel strategy for new and remanufactured products," Electronic Commerce Research, Springer, vol. 16(2), pages 269-295, June.
    27. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    28. K Katsaliaki & N Mustafee & Y K Dwivedi & T Williams & J M Wilson, 2010. "A profile of OR research and practice published in the Journal of the Operational Research Society," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(1), pages 82-94, January.
    29. Ruud H. Teunter, 2001. "Economic ordering quantities for recoverable item inventory systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 48(6), pages 484-495, September.
    30. de Brito, Marisa P. & van der Laan, Erwin A., 2009. "Inventory control with product returns: The impact of imperfect information," European Journal of Operational Research, Elsevier, vol. 194(1), pages 85-101, April.
    31. Vladimir Polotski & Jean-Pierre Kenne & Ali Gharbi, 2017. "Set-up and production planning in hybrid manufacturing–remanufacturing systems with large returns," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3766-3787, July.
    32. El Saadany, Ahmed M.A. & Jaber, Mohamad Y. & Bonney, Maurice, 2013. "How many times to remanufacture?," International Journal of Production Economics, Elsevier, vol. 143(2), pages 598-604.
    33. Niknejad, A. & Petrovic, D., 2014. "Optimisation of integrated reverse logistics networks with different product recovery routes," European Journal of Operational Research, Elsevier, vol. 238(1), pages 143-154.
    34. Boysen, Nils & Emde, Simon & Hoeck, Michael & Kauderer, Markus, 2015. "Part logistics in the automotive industry: Decision problems, literature review and research agenda," European Journal of Operational Research, Elsevier, vol. 242(1), pages 107-120.
    35. De Rosa, Vincenzo & Gebhard, Marina & Hartmann, Evi & Wollenweber, Jens, 2013. "Robust sustainable bi-directional logistics network design under uncertainty," International Journal of Production Economics, Elsevier, vol. 145(1), pages 184-198.
    36. Metin Türkay & Öztürk Saraçoğlu & Mehmet Can Arslan, 2016. "Sustainability in Supply Chain Management: Aggregate Planning from Sustainability Perspective," PLOS ONE, Public Library of Science, vol. 11(1), pages 1-18, January.
    37. Zahraei, Seyed Mehdi & Teo, Chee-Chong, 2018. "Optimizing a recover-and-assemble remanufacturing system with production smoothing," International Journal of Production Economics, Elsevier, vol. 197(C), pages 330-341.
    38. Xichen Sun & Michiyuki Yagi & Katsuhiko Kokubu, 2014. "Expanding the Horizon: An Empirical Study of Sustainable Supply Chain Management and Firm Performance," Discussion Papers 2014-30, Kobe University, Graduate School of Business Administration.
    39. Seoyoon Lee & Minjung Kwak, 2020. "Consumer Valuation of Remanufactured Products: A Comparative Study of Product Categories and Business Models," Sustainability, MDPI, vol. 12(18), pages 1-29, September.
    40. Prakash, Chandra & Barua, M.K., 2016. "An analysis of integrated robust hybrid model for third-party reverse logistics partner selection under fuzzy environment," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 63-81.
    41. Gernot Lechner & Marc Reimann, 2013. "The effect of active used product acquisition on manufacturing and remanufacturing strategies," Working Paper Series, Social and Economic Sciences 2013-01, Faculty of Social and Economic Sciences, Karl-Franzens-University Graz.
    42. Teunter, Ruud H. & van der Laan, Erwin & Inderfurth, Karl, 2000. "How to set the holding cost rates in average cost inventory models with reverse logistics?," Omega, Elsevier, vol. 28(4), pages 409-415, August.
    43. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    44. Timo Hilger & Florian Sahling & Horst Tempelmeier, 2016. "Capacitated dynamic production and remanufacturing planning under demand and return uncertainty," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(4), pages 849-876, October.
    45. Antti Puurunen & Jukka Majava & Hanna Kropsu-Vehkapera & Pekka Kess, 2013. "Applicaability of the (Q,R)-Model in Maintenance Meterials Management," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    46. Bulmuş, Serra Caner & Zhu, Stuart X. & Teunter, Ruud, 2013. "Capacity and production decisions under a remanufacturing strategy," International Journal of Production Economics, Elsevier, vol. 145(1), pages 359-370.
    47. Attila, Öykü Naz & Agra, Agostinho & Akartunalı, Kerem & Arulselvan, Ashwin, 2021. "Robust formulations for economic lot-sizing problem with remanufacturing," European Journal of Operational Research, Elsevier, vol. 288(2), pages 496-510.
    48. Mostafa Parsa & Ali Shahandeh Nookabadi & Zümbül Atan & Yaser Malekian, 2022. "An optimal inventory policy for a multi-echelon closed-loop supply chain of postconsumer recycled content products," Operational Research, Springer, vol. 22(3), pages 1887-1938, July.
    49. Canan Savaskan & Luk N. van Wassenhove, 2001. "The Strategic Decentralization of Reverse Channels and Prince Discrimination Through Buyback Payments," Discussion Papers 1329, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    50. Teunter, Ruud H. & Vlachos, Dimitrios, 2002. "On the necessity of a disposal option for returned items that can be remanufactured," International Journal of Production Economics, Elsevier, vol. 75(3), pages 257-266, February.
    51. Devika Kannan & Kiran Garg & P. C. Jha & Ali Diabat, 2017. "Integrating disassembly line balancing in the planning of a reverse logistics network from the perspective of a third party provider," Annals of Operations Research, Springer, vol. 253(1), pages 353-376, June.
    52. Zhou, Li & Xie, Jiaping & Gu, Xiaoyu & Lin, Yong & Ieromonachou, Petros & Zhang, Xiaole, 2016. "Forecasting return of used products for remanufacturing using Graphical Evaluation and Review Technique (GERT)," International Journal of Production Economics, Elsevier, vol. 181(PB), pages 315-324.
    53. Byung Duk Song & Young Dae Ko, 2017. "Effect of Inspection Policies and Residual Value of Collected Used Products: A Mathematical Model and Genetic Algorithm for a Closed-Loop Green Manufacturing System," Sustainability, MDPI, vol. 9(9), pages 1-14, September.
    54. Minjung Kwak, 2021. "Monte Carlo Simulation of the Effect of Heterogeneous Too-Cheap Prices on the Average Price Preference for Remanufactured Products," Sustainability, MDPI, vol. 13(17), pages 1-11, August.
    55. Diabat, Ali & Kannan, Devika & Kaliyan, Mathiyazhagan & Svetinovic, Davor, 2013. "An optimization model for product returns using genetic algorithms and artificial immune system," Resources, Conservation & Recycling, Elsevier, vol. 74(C), pages 156-169.
    56. van der Laan, E.A. & Teunter, R.H., 2004. "Simple heuristics for push and pull remanufacturing policies," Econometric Institute Research Papers EI 2004-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    57. Pati, Rupesh Kumar & Vrat, Prem & Kumar, Pradeep, 2006. "Economic analysis of paper recycling vis-a-vis wood as raw material," International Journal of Production Economics, Elsevier, vol. 103(2), pages 489-508, October.
    58. Rong-Huei Chen & Ru-Jen Lin & Yen-Ju Lin, 2013. "The Relationships Among Green Operations, Green Innovation, and Environmental Performance," Diversity, Technology, and Innovation for Operational Competitiveness: Proceedings of the 2013 International Conference on Technology Innovation and Industrial Management,, ToKnowPress.
    59. van der Laan, Erwin, 2003. "An NPV and AC analysis of a stochastic inventory system with joint manufacturing and remanufacturing," International Journal of Production Economics, Elsevier, vol. 81(1), pages 317-331, January.
    60. Vahab Vahdat & Mohammad Ali Vahdatzad, 2017. "Accelerated Benders’ Decomposition for Integrated Forward/Reverse Logistics Network Design under Uncertainty," Logistics, MDPI, vol. 1(2), pages 1-21, December.
    61. Flapper, Simme Douwe & Gayon, Jean-Philippe & Lim, Lâm Laurent, 2014. "On the optimal control of manufacturing and remanufacturing activities with a single shared server," European Journal of Operational Research, Elsevier, vol. 234(1), pages 86-98.
    62. Mitra, Subrata, 2009. "Analysis of a two-echelon inventory system with returns," Omega, Elsevier, vol. 37(1), pages 106-115, February.
    63. Kottala Sri Yogi, 2015. "Performance evaluation of reverse logistics: A case of LPG agency," Cogent Business & Management, Taylor & Francis Journals, vol. 2(1), pages 1063229-106, December.
    64. Nuramilawahida Mat Ropi & Hawa Hishamuddin & Dzuraidah Abd Wahab & Wakhid Ahmad Jauhari & Fatin Amrina A. Rashid & Nor Kamaliana Khamis & Intan Fadhlina Mohamed & Mohd Anas Mohd Sabri & Mohd Radzi Abu, 2023. "Optimal Lot-Sizing Decisions for a Remanufacturing Production System under Spare Parts Supply Disruption," Mathematics, MDPI, vol. 11(19), pages 1-19, September.
    65. Inderfurth, Karl, 2004. "Optimal policies in hybrid manufacturing/remanufacturing systems with product substitution," International Journal of Production Economics, Elsevier, vol. 90(3), pages 325-343, August.
    66. Tsiliyannis, Christos Aristeides, 2018. "Markov chain modeling and forecasting of product returns in remanufacturing based on stock mean-age," European Journal of Operational Research, Elsevier, vol. 271(2), pages 474-489.
    67. Fleischmann, Mortiz & Krikke, Hans Ronald & Dekker, Rommert & Flapper, Simme Douwe P., 2000. "A characterisation of logistics networks for product recovery," Omega, Elsevier, vol. 28(6), pages 653-666, December.
    68. De Giovanni, Pietro & Zaccour, Georges, 2014. "A two-period game of a closed-loop supply chain," European Journal of Operational Research, Elsevier, vol. 232(1), pages 22-40.
    69. M. Fonseca & Álvaro García-Sánchez & Miguel Ortega-Mier & Francisco Saldanha-da-Gama, 2010. "A stochastic bi-objective location model for strategic reverse logistics," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 18(1), pages 158-184, July.
    70. de Brito, M.P. & Dekker, R., 2001. "Modelling product returns in inventory control - exploring the validity or general assumptions," Econometric Institute Research Papers EI 2001-27, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    71. Shuihua Han & Weina Ma & Ling Zhao & Xuelian Zhang & Ming K. Lim & Shuangyuan Yang & Stephen Leung, 2016. "A robust optimisation model for hybrid remanufacturing and manufacturing systems under uncertain return quality and market demand," International Journal of Production Research, Taylor & Francis Journals, vol. 54(17), pages 5056-5072, September.
    72. Ramin Sahamie & Dennis Stindt & Christian Nuss, 2013. "Transdisciplinary Research in Sustainable Operations – An Application to Closed‐Loop Supply Chains," Business Strategy and the Environment, Wiley Blackwell, vol. 22(4), pages 245-268, May.
    73. Jena, Sarat Kumar & Sarmah, S.P., 2016. "Price and service co-opetiton under uncertain demand and condition of used items in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 1-21.
    74. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    75. de Brito, M.P. & Dekker, R. & Flapper, S.D.P., 2003. "Reverse Logistics - a review of case studies," ERIM Report Series Research in Management ERS-2003-012-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    76. Céline Michaud & Daniel Llerena, 2011. "Green consumer behaviour: an experimental analysis of willingness to pay for remanufactured products," Business Strategy and the Environment, Wiley Blackwell, vol. 20(6), pages 408-420, September.
    77. Vercraene, Samuel & Gayon, Jean-Philippe, 2013. "Optimal control of a production-inventory system with productreturns," International Journal of Production Economics, Elsevier, vol. 142(2), pages 302-310.
    78. Shouxu Song & Yongting Tian & Dan Zhou, 2021. "Reverse Logistics Network Design and Simulation for Automatic Teller Machines Based on Carbon Emission and Economic Benefits: A Study of the Anhui Province ATMs Industry," Sustainability, MDPI, vol. 13(20), pages 1-24, October.
    79. Mohammed Alkahtani & Aiman Ziout & Bashir Salah & Moath Alatefi & Abd Elatty E. Abd Elgawad & Ahmed Badwelan & Umar Syarif, 2021. "An Insight into Reverse Logistics with a Focus on Collection Systems," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    80. Carlsson, Dick & Rönnqvist, Mikael, 2006. "Backhauling in forest transportation - models, methods and practical usage," Discussion Papers 2006/5, Norwegian School of Economics, Department of Business and Management Science.
    81. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
    82. Sahar Porkar & Iraj Mahdavi & Behzad Maleki Vishkaei & Milad Hematian, 2020. "Green supply chain flow analysis with multi-attribute demand in a multi-period product development environment," Operational Research, Springer, vol. 20(3), pages 1405-1435, September.
    83. Kovačić, Danijel & Usenik, Janez & Bogataj, Marija, 2017. "Optimal decisions on investments in Urban Energy Cogeneration plants – Extended MRP and fuzzy approach to the stochastic systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 583-595.
    84. Flora Poppelaars & Conny Bakker & Jo van Engelen, 2020. "Design for Divestment in a Circular Economy: Stimulating Voluntary Return of Smartphones through Design," Sustainability, MDPI, vol. 12(4), pages 1-19, February.
    85. Martí, Joana M. Comas & Tancrez, Jean-Sébastien & Seifert, Ralf W., 2015. "Carbon footprint and responsiveness trade-offs in supply chain network design," International Journal of Production Economics, Elsevier, vol. 166(C), pages 129-142.
    86. Sunder Kekre & Uday S. Rao & Jayashankar M. Swaminathan & Jun Zhang, 2003. "Reconfiguring a Remanufacturing Line at Visteon, Mexico," Interfaces, INFORMS, vol. 33(6), pages 30-43, December.
    87. Ghosh, Debabrata & Gouda, Sirish & Shankar, Ravi & Swami, Sanjeev & Thomas, Vinu Cheruvil, 2018. "Strategic decision making under subscription-based contracts for remanufacturing," International Journal of Production Economics, Elsevier, vol. 200(C), pages 134-150.
    88. Lin, Yizhong & Leung, Janny M.Y. & Zhang, Lianmin & Gu, Jia-Wen, 2020. "Single-item repairable inventory system with stochastic new and warranty demands," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    89. Kenné, Jean-Pierre & Dejax, Pierre & Gharbi, Ali, 2012. "Production planning of a hybrid manufacturing–remanufacturing system under uncertainty within a closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 135(1), pages 81-93.
    90. Ágota Bányai, 2011. "Optimisation Of Intermediate Storage Network Of Jit Purchasing," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 5(1), pages 35-40, December.
    91. Amir Heiman & Joel Ferguson & David Zilberman, 2020. "Marketing and Technology Adoption and Diffusion," Applied Economic Perspectives and Policy, John Wiley & Sons, vol. 42(1), pages 21-30, March.
    92. Barbosa-Póvoa, Ana Paula & da Silva, Cátia & Carvalho, Ana, 2018. "Opportunities and challenges in sustainable supply chain: An operations research perspective," European Journal of Operational Research, Elsevier, vol. 268(2), pages 399-431.
    93. Tancrez, Jean-Sébastien & Lange, Jean-Charles & Semal, Pierre, 2012. "A location-inventory model for large three-level supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 485-502.
    94. Xue, Dongmei & Teunter, Ruud H. & Zhu, Stuart X. & Zhou, Weihua, 2021. "Entering the high-end market by collecting and remanufacturing a competitor’s high-end cores," Omega, Elsevier, vol. 99(C).
    95. Chen, Jing, 2011. "The impact of sharing customer returns information in a supply chain with and without a buyback policy," European Journal of Operational Research, Elsevier, vol. 213(3), pages 478-488, September.
    96. Hsien-Jen Lin, 2015. "Two-echelon stochastic inventory system with returns and partial backlogging," International Journal of Systems Science, Taylor & Francis Journals, vol. 46(6), pages 966-975, April.
    97. M. Tadaros & A. Migdalas & B. Samuelsson & A. Segerstedt, 2022. "Location of facilities and network design for reverse logistics of lithium-ion batteries in Sweden," Operational Research, Springer, vol. 22(2), pages 895-915, April.
    98. Tang, Christopher S. & Deo, Sarang, 2008. "Rental price and rental duration under retail competition," European Journal of Operational Research, Elsevier, vol. 187(3), pages 806-828, June.
    99. Blandine LAPERCHE & Antje BURMEISTER & Céline MERLIN-BROGNIART & Fédoua KASMI, 2014. "Ecologie industrielle et développement territorial durable : le rôle des services [Industrial ecology and sustainable territorial development: The role of services]," Working Papers 284, Laboratoire de Recherche sur l'Industrie et l'Innovation. ULCO / Research Unit on Industry and Innovation.
    100. Imre Dobos & Barbara Gobsch & Nadezhda Pakhomova & Grigory Pishchulov & Knut Richter, 2013. "Design of contract parameters in a closed-loop supply chain," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 21(4), pages 713-727, December.
    101. Xiting Gong & Xiuli Chao, 2013. "Technical Note---Optimal Control Policy for Capacitated Inventory Systems with Remanufacturing," Operations Research, INFORMS, vol. 61(3), pages 603-611, June.
    102. Schultmann, Frank & Zumkeller, Moritz & Rentz, Otto, 2006. "Modeling reverse logistic tasks within closed-loop supply chains: An example from the automotive industry," European Journal of Operational Research, Elsevier, vol. 171(3), pages 1033-1050, June.
    103. Silviya Blagoeva (ed.), 2017. "Modern Logistics – Business And Education," Conferences of the Industrial business and logistics department, Publishing house Science and Economics Varna, number 1.
    104. Wei, Cansheng & Li, Yongjian & Cai, Xiaoqiang, 2011. "Robust optimal policies of production and inventory with uncertain returns and demand," International Journal of Production Economics, Elsevier, vol. 134(2), pages 357-367, December.
    105. Fei Zhang & Zailin Guan & Li Zhang & Yanyan Cui & Pengxing Yi & Saif Ullah, 2019. "Inventory management for a remanufacture-to-order production with multi-components (parts)," Journal of Intelligent Manufacturing, Springer, vol. 30(1), pages 59-78, January.
    106. Taleizadeh, Ata Allah & Moshtagh, Mohammad Sadegh, 2019. "A consignment stock scheme for closed loop supply chain with imperfect manufacturing processes, lost sales, and quality dependent return: Multi Levels Structure," International Journal of Production Economics, Elsevier, vol. 217(C), pages 298-316.
    107. Inderfurth, K. & de Kok, A. G. & Flapper, S. D. P., 2001. "Product recovery in stochastic remanufacturing systems with multiple reuse options," European Journal of Operational Research, Elsevier, vol. 133(1), pages 130-152, August.
    108. Omar, Mohd & Yeo, Ivan, 2009. "A model for a production-repair system under a time-varying demand process," International Journal of Production Economics, Elsevier, vol. 119(1), pages 17-23, May.
    109. Repoussis, P.P. & Paraskevopoulos, D.C. & Zobolas, G. & Tarantilis, C.D. & Ioannou, G., 2009. "A web-based decision support system for waste lube oils collection and recycling," European Journal of Operational Research, Elsevier, vol. 195(3), pages 676-700, June.
    110. Mitra, Subrata, 2007. "Revenue management for remanufactured products," Omega, Elsevier, vol. 35(5), pages 553-562, October.
    111. Zheng, Yanyan & Zhao, Yingxue & Wang, Nengmin & Meng, Xiaoge & Yang, Honglin, 2022. "Financing decision for a remanufacturing supply chain with a capital constrained retailer: A study from the perspective of market uncertainty," International Journal of Production Economics, Elsevier, vol. 245(C).
    112. Jian Yang & Boaz Golany & Gang Yu, 2005. "A concave‐cost production planning problem with remanufacturing options," Naval Research Logistics (NRL), John Wiley & Sons, vol. 52(5), pages 443-458, August.
    113. Beste Desticioglu & Hatice Calipinar & Bahar Ozyoruk & Erdinc Koc, 2022. "Model for Reverse Logistic Problem of Recycling under Stochastic Demand," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    114. Brandenburg, Marcus & Govindan, Kannan & Sarkis, Joseph & Seuring, Stefan, 2014. "Quantitative models for sustainable supply chain management: Developments and directions," European Journal of Operational Research, Elsevier, vol. 233(2), pages 299-312.
    115. Frank Schultmann & Bernd Engels & Otto Rentz, 2003. "Closed-Loop Supply Chains for Spent Batteries," Interfaces, INFORMS, vol. 33(6), pages 57-71, December.
    116. Frota Neto, J. Quariguasi & Bloemhof-Ruwaard, J.M. & van Nunen, J.A.E.E. & van Heck, E., 2008. "Designing and evaluating sustainable logistics networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 195-208, February.
    117. van der Laan, Erwin & Salomon, Marc & Dekker, Rommert, 1999. "An investigation of lead-time effects in manufacturing/remanufacturing systems under simple PUSH and PULL control strategies," European Journal of Operational Research, Elsevier, vol. 115(1), pages 195-214, May.
    118. Roland Geyer & Luk N. Van Wassenhove & Atalay Atasu, 2007. "The Economics of Remanufacturing Under Limited Component Durability and Finite Product Life Cycles," Management Science, INFORMS, vol. 53(1), pages 88-100, January.
    119. Srivastava, Samir K., 2008. "Network design for reverse logistics," Omega, Elsevier, vol. 36(4), pages 535-548, August.
    120. Marta Starostka-Patyk, 2007. "End-Of-Use Products In Reverse Logistics," Advanced Logistic systems, University of Miskolc, Department of Material Handling and Logistics, vol. 1(1), pages 81-85, December.
    121. Pradip K. Bhaumik, 2015. "Supply Chain Network Design Based on Integration of Forward and Reverse Logistics," Global Business Review, International Management Institute, vol. 16(4), pages 680-699, August.
    122. Janusz Grabara & Iwona Grabara, 2008. "Reverse Logistics In Globalization Aspects," Annales Universitatis Apulensis Series Oeconomica, Faculty of Sciences, "1 Decembrie 1918" University, Alba Iulia, vol. 2(10), pages 1-33.
    123. de Brito, M.P. & Dekker, R., 2002. "Reverse logistics - a framework," Econometric Institute Research Papers EI 2002-38, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    124. Amy Z. Zeng, 2013. "Coordination mechanisms for a three‐stage reverse supply chain to increase profitable returns," Naval Research Logistics (NRL), John Wiley & Sons, vol. 60(1), pages 31-45, February.
    125. Shenle Pan & Chao Chen & Ray Y. Zhong, 2015. "A crowdsourcing solution to collect e-commerce reverse flows in metropolitan areas," Post-Print hal-01148227, HAL.
    126. Mikhail Y. Kovalyov & Mikhail N. Lukashevich & Erwin Pesch, 2023. "Cost minimizing planning of container inspection and repair in multiple facilities," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 45(1), pages 181-204, March.
    127. Deishin Lee, 2012. "Turning Waste into By-Product," Manufacturing & Service Operations Management, INFORMS, vol. 14(1), pages 115-127, January.
    128. Chandra Prakash Garg, 2020. "A robust hybrid decision model to evaluate critical factors of reverse logistics implementation using Grey-DEMATEL framework," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 837-873, September.
    129. NNC Pushpamali & Duzgun Agdas & Timothy M. Rose, 2019. "A Review of Reverse Logistics: An Upstream Construction Supply Chain Perspective," Sustainability, MDPI, vol. 11(15), pages 1-14, August.
    130. Hasan, Syed Akif & Subhani, Muhammad Imtiaz & Osman, Ms. Amber, 2011. "Waste Management in the Various Municipalities of Various Socio-Economic Conditions (An Empirical Evidence from Pakistan)," MPRA Paper 34752, University Library of Munich, Germany.
    131. Long He & Ying Rong & Zuo‐Jun Max Shen, 2020. "Product Sourcing and Distribution Strategies under Supply Disruption and Recall Risks," Production and Operations Management, Production and Operations Management Society, vol. 29(1), pages 9-23, January.
    132. Jisoo Oh & Bongju Jeong, 2014. "Profit Analysis and Supply Chain Planning Model for Closed-Loop Supply Chain in Fashion Industry," Sustainability, MDPI, vol. 6(12), pages 1-30, December.
    133. Lee, Chang Hwan & Rhee, Byong-Duk, 2007. "Channel coordination using product returns for a supply chain with stochastic salvage capacity," European Journal of Operational Research, Elsevier, vol. 177(1), pages 214-238, February.
    134. Jaber, Mohamad Y. & El Saadany, Ahmed M.A., 2009. "The production, remanufacture and waste disposal model with lost sales," International Journal of Production Economics, Elsevier, vol. 120(1), pages 115-124, July.
    135. Eiji B. Hosoda & Masashi Yamamoto, 2021. "Transportation costs of vehicle recycling under Hotelling’s Duopoly competition," Economia e Politica Industriale: Journal of Industrial and Business Economics, Springer;Associazione Amici di Economia e Politica Industriale, vol. 48(1), pages 77-91, March.
    136. Laurens G. Debo & L. Beril Toktay & Luk N. Van Wassenhove, 2005. "Market Segmentation and Product Technology Selection for Remanufacturable Products," Management Science, INFORMS, vol. 51(8), pages 1193-1205, August.
    137. Choi, Dae-Won & Hwang, Hark & Koh, Shie-Gheun, 2007. "A generalized ordering and recovery policy for reusable items," European Journal of Operational Research, Elsevier, vol. 182(2), pages 764-774, October.
    138. R. Canan Savaskan & Shantanu Bhattacharya & Luk N. Van Wassenhove, 2004. "Closed-Loop Supply Chain Models with Product Remanufacturing," Management Science, INFORMS, vol. 50(2), pages 239-252, February.
    139. Sabharwal, Srishti & Garg, Suresh, 2013. "Determining cost effectiveness index of remanufacturing: A graph theoretic approach," International Journal of Production Economics, Elsevier, vol. 144(2), pages 521-532.
    140. Dobos, Imre & Richter, Knut, 2004. "An extended production/recycling model with stationary demand and return rates," International Journal of Production Economics, Elsevier, vol. 90(3), pages 311-323, August.
    141. Pietro Giovanni & Georges Zaccour, 2019. "A selective survey of game-theoretic models of closed-loop supply chains," 4OR, Springer, vol. 17(1), pages 1-44, March.
    142. van der Laan, E.A. & Kiesmueller, G.P., 2001. "An Inventory Model with Dependent Product Demands and Returns," ERIM Report Series Research in Management ERS-2001-16-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    143. Ma, N., 2014. "Optimal scope of supply chain network & operations design," Other publications TiSEM e6187708-b664-44bf-aef8-f, Tilburg University, School of Economics and Management.
    144. Georgiadis, Patroklos & Vlachos, Dimitrios, 2004. "The effect of environmental parameters on product recovery," European Journal of Operational Research, Elsevier, vol. 157(2), pages 449-464, September.
    145. Jaber, Mohamad Y. & El Saadany, Ahmed M.A., 2011. "An economic production and remanufacturing model with learning effects," International Journal of Production Economics, Elsevier, vol. 131(1), pages 115-127, May.
    146. Georgiadis, Patroklos & Athanasiou, Efstratios, 2010. "The impact of two-product joint lifecycles on capacity planning of remanufacturing networks," European Journal of Operational Research, Elsevier, vol. 202(2), pages 420-433, April.
    147. Sambracos, Evangelos & Ramfou, Irene, 2010. "Assessing the role of goods transport in organizational performance," MPRA Paper 52204, University Library of Munich, Germany.
    148. Gökbayrak, Esra & Kayış, Enis, 2023. "Single item periodic review inventory control with sales dependent stochastic return flows," International Journal of Production Economics, Elsevier, vol. 255(C).
    149. Majdi Argoubi & Haifa Jammeli & Hatem Masri, 2020. "The intellectual structure of the waste management field," Annals of Operations Research, Springer, vol. 294(1), pages 655-676, November.
    150. S. Maryam Masoumi & Nima Kazemi & Salwa Hanim Abdul-Rashid, 2019. "Sustainable Supply Chain Management in the Automotive Industry: A Process-Oriented Review," Sustainability, MDPI, vol. 11(14), pages 1-30, July.
    151. Shi, Jianmai & Zhang, Guoqing & Sha, Jichang, 2011. "Optimal production and pricing policy for a closed loop system," Resources, Conservation & Recycling, Elsevier, vol. 55(6), pages 639-647.
    152. Sebnem Ahiska, S. & King, Russell E., 2010. "Inventory optimization in a one product recoverable manufacturing system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 11-19, March.
    153. Denilson Ricardo de Lucena Nunes & Danyelle de Sousa Nascimento & Jennifer Rodrigues Matos & André Cristiano Silva Melo & Vitor William Batista Martins & Antônio Erlindo Braga, 2023. "Approaches to Performance Assessment in Reverse Supply Chains: A Systematic Literature Review," Logistics, MDPI, vol. 7(3), pages 1-15, June.
    154. de Koster, M.B.M. & de Brito, M.P. & van de Vendel, M.A., 2002. "How to organise return handling; an exploratory study with nine retailer warehouses," Econometric Institute Research Papers EI 2002-11, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    155. Kokkinaki, A.I. & Dekker, R. & Lee, R. & Pappis, C.P., 2001. "Integrating a web-based system with business processes in closed loop supply chains," Econometric Institute Research Papers EI 2001-31, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    156. Jaber, Mohamad Y. & Rosen, Marc A., 2008. "The economic order quantity repair and waste disposal model with entropy cost," European Journal of Operational Research, Elsevier, vol. 188(1), pages 109-120, July.
    157. Mustapha Hrouga & Stephnaie Michel, 2023. "Towards a new supply chain manager dashboard under circular economy constraints: A case study on France textile and clothing industry," Business Strategy and the Environment, Wiley Blackwell, vol. 32(8), pages 6074-6093, December.
    158. Alvarez-Gil, M Jose & Berrone, Pascual & Husillos, F. Javier & Lado, Nora, 2007. "Reverse logistics, stakeholders' influence, organizational slack, and managers' posture," Journal of Business Research, Elsevier, vol. 60(5), pages 463-473, May.
    159. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2016. "Outsourcing decisions in reverse logistics: Sustainable balanced scorecard and graph theoretic approach," Resources, Conservation & Recycling, Elsevier, vol. 108(C), pages 41-53.
    160. Kumar Jena, Sarat & Sarmah, S.P, 2014. "Price competition and co-operation in a duopoly closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 156(C), pages 346-360.
    161. Jans, R.F. & Degraeve, Z., 2005. "Modeling Industrial Lot Sizing Problems: A Review," ERIM Report Series Research in Management ERS-2005-049-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    162. Yu-Chung Tsao & Vu-Thuy Linh & Jye-Chyi Lu & Vincent Yu, 2018. "A supply chain network with product remanufacturing and carbon emission considerations: a two-phase design," Journal of Intelligent Manufacturing, Springer, vol. 29(3), pages 693-705, March.
    163. Walther, Grit & Schmid, Eberhard & Spengler, Thomas S., 2008. "Negotiation-based coordination in product recovery networks," International Journal of Production Economics, Elsevier, vol. 111(2), pages 334-350, February.
    164. Faustino Alarcón & Pascual Cortés-Pellicer & David Pérez-Perales & Raquel Sanchis, 2020. "Sustainability vs. Circular Economy from a Disposition Decision Perspective: A Proposal of a Methodology and an Applied Example in SMEs," Sustainability, MDPI, vol. 12(23), pages 1-26, December.
    165. Minner, Stefan, 2001. "Strategic safety stocks in reverse logistics supply chains," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 417-428, May.
    166. Shad Dowlatshahi, 2000. "Developing a Theory of Reverse Logistics," Interfaces, INFORMS, vol. 30(3), pages 143-155, June.
    167. Ashayeri, Jalal & Ma, Ning & Sotirov, Renata, 2015. "The redesign of a warranty distribution network with recovery processes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 77(C), pages 184-197.
    168. Chang Fang & Xinbao Liu & Panos M. Pardalos & Jianyu Long & Jun Pei & Chao Zuo, 2017. "A stochastic production planning problem in hybrid manufacturing and remanufacturing systems with resource capacity planning," Journal of Global Optimization, Springer, vol. 68(4), pages 851-878, August.
    169. Raul Oltra-Badenes & Hermenegildo Gil-Gomez & Vicente Guerola-Navarro & Pau Vicedo, 2019. "Is It Possible to Manage the Product Recovery Processes in an ERP? Analysis of Functional Needs," Sustainability, MDPI, vol. 11(16), pages 1-16, August.
    170. Renzheng Xue & Fengbin Zhang & Feng Tian, 2018. "A System Dynamics Model to Evaluate Effects of Retailer-Led Recycling Based on Dual Chains Competition: A Case of e-Waste in China," Sustainability, MDPI, vol. 10(10), pages 1-18, September.
    171. Konstantaras, I. & Papachristos, S., 2007. "Optimal policy and holding cost stability regions in a periodic review inventory system with manufacturing and remanufacturing options," European Journal of Operational Research, Elsevier, vol. 178(2), pages 433-448, April.
    172. Ruiz-Benitez, Rocio & Muriel, Ana, 2014. "Consumer returns in a decentralized supply chain," International Journal of Production Economics, Elsevier, vol. 147(PC), pages 573-592.
    173. Hao Yu & Wei Deng Solvang, 2016. "A Stochastic Programming Approach with Improved Multi-Criteria Scenario-Based Solution Method for Sustainable Reverse Logistics Design of Waste Electrical and Electronic Equipment (WEEE)," Sustainability, MDPI, vol. 8(12), pages 1-28, December.
    174. Rosič, Heidrun & Jammernegg, Werner, 2013. "The economic and environmental performance of dual sourcing: A newsvendor approach," International Journal of Production Economics, Elsevier, vol. 143(1), pages 109-119.
    175. Kokkinaki, A.I. & Dekker, R. & de Koster, M.B.M. & Pappis, C.P., 2001. "From e-trash to e-treasure: how value can be created by the new e-business models for reverse logistics," Econometric Institute Research Papers EI 2000-32/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    176. H K Smith & G Laporte & P R Harper, 2009. "Locational analysis: highlights of growth to maturity," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(1), pages 140-148, May.
    177. Alexander Hübner & Andreas Holzapfel & Heinrich Kuhn, 2016. "Distribution systems in omni-channel retailing," Business Research, Springer;German Academic Association for Business Research, vol. 9(2), pages 255-296, August.
    178. Adel A. Alamri, 2023. "A Sustainable Closed-Loop Supply Chains Inventory Model Considering Optimal Number of Remanufacturing Times," Sustainability, MDPI, vol. 15(12), pages 1-23, June.
    179. Halit Üster & Gopalakrishnan Easwaran & Elif Akçali & Sila Çetinkaya, 2007. "Benders decomposition with alternative multiple cuts for a multi‐product closed‐loop supply chain network design model," Naval Research Logistics (NRL), John Wiley & Sons, vol. 54(8), pages 890-907, December.
    180. Lundin, Johan F., 2012. "Redesigning a closed-loop supply chain exposed to risks," International Journal of Production Economics, Elsevier, vol. 140(2), pages 596-603.
    181. Kiesmuller, G. P., 2003. "Optimal control of a one product recovery system with leadtimes," International Journal of Production Economics, Elsevier, vol. 81(1), pages 333-340, January.
    182. Le Blanc, H.M. & Fleuren, H.A. & Krikke, H.R., 2002. "Network Designs for LPG Tanks in the Netherlands," Discussion Paper 2002-1, Tilburg University, Center Applied Research.
    183. Mostard, J. & Teunter, R.H. & de Koster, M.B.M., 2003. "The distribution-free newsboy problem with resalable returns," ERIM Report Series Research in Management ERS-2003-068-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    184. Costa, Alysson M. & França, Paulo M. & Lyra Filho, Christiano, 2011. "Two-level network design with intermediate facilities: An application to electrical distribution systems," Omega, Elsevier, vol. 39(1), pages 3-13, January.
    185. Kangzhou Wang & Yingxue Zhao & Yonghong Cheng & Tsan-Ming Choi, 2014. "Cooperation or Competition? Channel Choice for a Remanufacturing Fashion Supply Chain with Government Subsidy," Sustainability, MDPI, vol. 6(10), pages 1-19, October.
    186. Deepak Lamba & Devendra K. Yadav & Akhilesh Barve & Ganapati Panda, 2020. "Prioritizing barriers in reverse logistics of E-commerce supply chain using fuzzy-analytic hierarchy process," Electronic Commerce Research, Springer, vol. 20(2), pages 381-403, June.
    187. Sumit Maheshwari & Amrina Kausar & Ahmad Hasan & Chandra K. Jaggi, 2023. "Sustainable inventory model for a three-layer supply chain using optimal waste management," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 14(1), pages 216-235, March.
    188. Pishvaee, M.S. & Razmi, J. & Torabi, S.A., 2014. "An accelerated Benders decomposition algorithm for sustainable supply chain network design under uncertainty: A case study of medical needle and syringe supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 67(C), pages 14-38.
    189. Bishal Baniya, 2023. "Circularity in Facility Management: Conceptualisation and Potential Areas for Circularity-Oriented Actions," Sustainability, MDPI, vol. 15(11), pages 1-27, May.
    190. Tahirov, Nail & Hasanov, Parviz & Jaber, Mohamad Y., 2016. "Optimization of closed-loop supply chain of multi-items with returned subassemblies," International Journal of Production Economics, Elsevier, vol. 174(C), pages 1-10.
    191. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.
    192. Sgarbossa, Fabio & Russo, Ivan, 2017. "A proactive model in sustainable food supply chain: Insight from a case study," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 596-606.
    193. Charles J. Corbett & Gregory A. DeCroix, 2001. "Shared-Savings Contracts for Indirect Materials in Supply Chains: Channel Profits and Environmental Impacts," Management Science, INFORMS, vol. 47(7), pages 881-893, July.
    194. Dissanayake, Geetha & Sinha, Pammi, 2015. "An examination of the product development process for fashion remanufacturing," Resources, Conservation & Recycling, Elsevier, vol. 104(PA), pages 94-102.
    195. Melo, M.T. & Nickel, S. & Saldanha-da-Gama, F., 2009. "Facility location and supply chain management - A review," European Journal of Operational Research, Elsevier, vol. 196(2), pages 401-412, July.
    196. Minner, Stefan, 2003. "Multiple-supplier inventory models in supply chain management: A review," International Journal of Production Economics, Elsevier, vol. 81(1), pages 265-279, January.
    197. Vlachos, D. & Dekker, R., 2000. "Return handling options and order quantities for single period products," Econometric Institute Research Papers EI 2000-29/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    198. Soto Zuluaga, Juan Pablo & Thiell, Marcus & Colomé Perales, Rosa, 2017. "Reverse cross-docking," Omega, Elsevier, vol. 66(PA), pages 48-57.
    199. Muneeb, Syed Mohd & Asim, Zainab & Hajiaghaei-Keshteli, Mostafa & Abbas, Haidar, 2023. "A multi-objective integrated supplier selection-production-distribution model for re-furbished products: Towards a circular economy," Renewable and Sustainable Energy Reviews, Elsevier, vol. 175(C).
    200. Abdelghani Bekrar & Abdessamad Ait El Cadi & Raca Todosijevic & Joseph Sarkis, 2021. "Digitalizing the Closing-of-the-Loop for Supply Chains: A Transportation and Blockchain Perspective," Sustainability, MDPI, vol. 13(5), pages 1-25, March.
    201. Andre P. Calmon & Stephen C. Graves, 2017. "Inventory Management in a Consumer Electronics Closed-Loop Supply Chain," Manufacturing & Service Operations Management, INFORMS, vol. 19(4), pages 568-585, October.
    202. Mihi Ramírez, Antonio, 2012. "Product return and logistics knowledge: Influence on performance of the firm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(6), pages 1137-1151.
    203. Ahiska, S. Sebnem & King, Russell E., 2010. "Life cycle inventory policy characterizations for a single-product recoverable system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 51-61, March.
    204. Liao, Haolan & Zhang, Qingyu & Li, Lu, 2023. "Optimal procurement strategy for multi-echelon remanufacturing systems under quality uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 170(C).
    205. Teunter, R.H. & Bayindir, Z.P. & van den Heuvel, W., 2005. "Dynamic lot sizing with product returns," Econometric Institute Research Papers EI 2005-17, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    206. Xiaomin Zhao & Xueli Bai & Zhihui Fan & Ting Liu, 2020. "Game Analysis and Coordination of a Closed-Loop Supply Chain: Perspective of Components Reuse Strategy," Sustainability, MDPI, vol. 12(22), pages 1-19, November.
    207. Mostard, Julien & de Koster, Rene & Teunter, Ruud, 2005. "The distribution-free newsboy problem with resalable returns," International Journal of Production Economics, Elsevier, vol. 97(3), pages 329-342, September.
    208. Achillas, Ch. & Aidonis, D. & Vlachokostas, Ch. & Moussiopoulos, N. & Banias, G. & Triantafillou, D., 2012. "A multi-objective decision-making model to select waste electrical and electronic equipment transportation media," Resources, Conservation & Recycling, Elsevier, vol. 66(C), pages 76-84.
    209. Canan Savaskan, 2001. "Channel Choice and Coordination in a Remanufacturing Environment," Discussion Papers 1328, Northwestern University, Center for Mathematical Studies in Economics and Management Science.
    210. Ondemir, Onder & Gupta, Surendra M., 2014. "A multi-criteria decision making model for advanced repair-to-order and disassembly-to-order system," European Journal of Operational Research, Elsevier, vol. 233(2), pages 408-419.
    211. Helena Ramalhinho-Lourenço, 2001. "Supply chain management: An opportunity for metaheuristics," Economics Working Papers 538, Department of Economics and Business, Universitat Pompeu Fabra.
    212. A.J.D. Lambert & H.M. Boelaarts & M.A.M. Splinter, 2004. "Optimal Recycling System Design: With an Application to Sophisticated Packaging Tools," Environmental & Resource Economics, Springer;European Association of Environmental and Resource Economists, vol. 28(3), pages 273-299, July.
    213. Kaya, Onur, 2010. "Incentive and production decisions for remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 201(2), pages 442-453, March.
    214. Sohn, So Young & Han, Hong Kyu & Jeon, Hye Jin, 2007. "Development of an Air Force Warehouse Logistics Index to continuously improve logistics capabilities," European Journal of Operational Research, Elsevier, vol. 183(1), pages 148-161, November.
    215. Marcus Brandenburg & Tobias Rebs, 2015. "Sustainable supply chain management: a modeling perspective," Annals of Operations Research, Springer, vol. 229(1), pages 213-252, June.
    216. John Khawam & Warren H. Hausman & Dinah W. Cheng, 2007. "Warranty Inventory Optimization for Hitachi Global Storage Technologies, Inc," Interfaces, INFORMS, vol. 37(5), pages 455-471, October.
    217. Jie Xu & Nan Liu, 2017. "Research on closed loop supply chain with reference price effect," Journal of Intelligent Manufacturing, Springer, vol. 28(1), pages 51-64, January.
    218. L K Chu & Y Shi & S Lin & D Sculli & J Ni, 2010. "Fuzzy chance-constrained programming model for a multi-echelon reverse logistics network for household appliances," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 61(4), pages 551-560, April.
    219. Yalabik, Baris & Chhajed, Dilip & Petruzzi, Nicholas C., 2014. "Product and sales contract design in remanufacturing," International Journal of Production Economics, Elsevier, vol. 154(C), pages 299-312.
    220. Mota, Bruna & Gomes, Maria Isabel & Carvalho, Ana & Barbosa-Povoa, Ana Paula, 2018. "Sustainable supply chains: An integrated modeling approach under uncertainty," Omega, Elsevier, vol. 77(C), pages 32-57.
    221. Banasik, Aleksander & Kanellopoulos, Argyris & Claassen, G.D.H. & Bloemhof-Ruwaard, Jacqueline M. & van der Vorst, Jack G.A.J., 2017. "Closing loops in agricultural supply chains using multi-objective optimization: A case study of an industrial mushroom supply chain," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 409-420.
    222. Sean X. Zhou & Zhijie Tao & Xiuli Chao, 2011. "Optimal Control of Inventory Systems with Multiple Types of Remanufacturable Products," Manufacturing & Service Operations Management, INFORMS, vol. 13(1), pages 20-34, March.
    223. Ahi, Payman & Searcy, Cory & Jaber, Mohamad Y., 2018. "A Quantitative Approach for Assessing Sustainability Performance of Corporations," Ecological Economics, Elsevier, vol. 152(C), pages 336-346.
    224. Fleischmann, Moritz & Kuik, Roelof & Dekker, Rommert, 2002. "Controlling inventories with stochastic item returns: A basic model," European Journal of Operational Research, Elsevier, vol. 138(1), pages 63-75, April.
    225. Mallidis, Ioannis & Dekker, Rommert & Vlachos, Dimitrios, 2012. "The impact of greening on supply chain design and cost: a case for a developing region," Journal of Transport Geography, Elsevier, vol. 22(C), pages 118-128.
    226. Geraldo Ferrer & Jayashankar M. Swaminathan, 2006. "Managing New and Remanufactured Products," Management Science, INFORMS, vol. 52(1), pages 15-26, January.
    227. Ching-Chin Chern & Hsin-Mei Wang & Kwei-Long Huang, 2017. "A heuristic master planning algorithm for recycling supply chain management," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 985-1003, April.
    228. Chang Fang & Xinbao Liu & Jun Pei & Wenjuan Fan & Panos M. Pardalos, 2016. "Optimal production planning in a hybrid manufacturing and recovering system based on the internet of things with closed loop supply chains," Operational Research, Springer, vol. 16(3), pages 543-577, October.
    229. Eleonora Bottani & Maria Carmen Gentilotti & Marta Rinaldi, 2017. "A Fuzzy Logic-Based Tool for the Assessment of Corporate Sustainability: A Case Study in the Food Machinery Industry," Sustainability, MDPI, vol. 9(4), pages 1-29, April.
    230. Inderfurth, Karl & van der Laan, Erwin, 2001. "Leadtime effects and policy improvement for stochastic inventory control with remanufacturing," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 381-390, May.
    231. Krikke, Harold & Hofenk, Dianne & Wang, Yacan, 2013. "Revealing an invisible giant: A comprehensive survey into return practices within original (closed-loop) supply chains," Resources, Conservation & Recycling, Elsevier, vol. 73(C), pages 239-250.
    232. Konstantaras, Ioannis & Skouri, Konstantina & Benkherouf, Lakdere, 2021. "Optimizing inventory decisions for a closed–loop supply chain model under a carbon tax regulatory mechanism," International Journal of Production Economics, Elsevier, vol. 239(C).
    233. González-Torre, Pilar L. & Adenso-Díaz, Belarmino, 2006. "Reverse logistics practices in the glass sector in Spain and Belgium," International Business Review, Elsevier, vol. 15(5), pages 527-546, October.
    234. Xiaodong Zhu & Lingfei Yu & Ji Zhang & Chenliang Li & Yizhao Zhao, 2018. "Warranty Decision Model and Remanufacturing Coordination Mechanism in Closed-Loop Supply Chain: View from a Consumer Behavior Perspective," Sustainability, MDPI, vol. 10(12), pages 1-21, December.
    235. Jörn‐Henrik Thun & Andrea Müller, 2010. "An empirical analysis of green supply chain management in the German automotive industry," Business Strategy and the Environment, Wiley Blackwell, vol. 19(2), pages 119-132, February.
    236. Vidovic, Milorad & Dimitrijevic, Branka & Ratkovic, Branislava & Simic, Vladimir, 2011. "A novel covering approach to positioning ELV collection points," Resources, Conservation & Recycling, Elsevier, vol. 57(C), pages 1-9.
    237. Takahashi, Katsuhiko & Morikawa, Katsumi & Myreshka & Takeda, Daisuke & Mizuno, Akihiko, 2007. "Inventory control for a MARKOVIAN remanufacturing system with stochastic decomposition process," International Journal of Production Economics, Elsevier, vol. 108(1-2), pages 416-425, July.
    238. Dijkstra, Arjan S. & Van der Heide, Gerlach & Roodbergen, Kees Jan, 2019. "Transshipments of cross-channel returned products," International Journal of Production Economics, Elsevier, vol. 209(C), pages 70-77.
    239. Komoto, H. & Tomiyama, T. & Silvester, S. & Brezet, H., 2011. "Analyzing supply chain robustness for OEMs from a life cycle perspective using life cycle simulation," International Journal of Production Economics, Elsevier, vol. 134(2), pages 447-457, December.
    240. Volker Trauzettel, 2015. "A Case Study On Optimizing Parts Supply In Manufacturing By Reusable Containers," Business Logistics in Modern Management, Josip Juraj Strossmayer University of Osijek, Faculty of Economics, Croatia, vol. 15, pages 161-174.
    241. Felix T.S. Chan & Nan Li & S.H. Chung & Mozafar Saadat, 2017. "Management of sustainable manufacturing systems-a review on mathematical problems," International Journal of Production Research, Taylor & Francis Journals, vol. 55(4), pages 1210-1225, February.
    242. Yang, Y. & Lin, J. & Hedenstierna, C.P.T. & Zhou, L., 2023. "The more the better? The impact of the number and location of product recovery options on the system dynamics in a closed-loop supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    243. Gharbi, A. & Pellerin, R. & Sadr, J., 2008. "Production rate control for stochastic remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 112(1), pages 37-47, March.
    244. Badri, Hossein & Fatemi Ghomi, S.M.T. & Hejazi, Taha-Hossein, 2017. "A two-stage stochastic programming approach for value-based closed-loop supply chain network design," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 1-17.
    245. Toso, Eli Angela V. & Alem, Douglas, 2014. "Effective location models for sorting recyclables in public management," European Journal of Operational Research, Elsevier, vol. 234(3), pages 839-860.
    246. Sanjeev Swami, 2006. "—Research Perspectives at the Interface of Marketing and Operations: Applications to the Motion Picture Industry," Marketing Science, INFORMS, vol. 25(6), pages 670-673, 11-12.
    247. Florian Lüdeke‐Freund & Stefan Gold & Nancy M. P. Bocken, 2019. "A Review and Typology of Circular Economy Business Model Patterns," Journal of Industrial Ecology, Yale University, vol. 23(1), pages 36-61, February.
    248. Gregory A. DeCroix & Paul H. Zipkin, 2005. "Inventory Management for an Assembly System with Product or Component Returns," Management Science, INFORMS, vol. 51(8), pages 1250-1265, August.
    249. Animesh Ghosh & Prabha Bhola & Uthayasankar Sivarajah, 2022. "Emerging Associates of the Circular Economy: Analysing Interactions and Trends by a Mixed Methods Systematic Review," Sustainability, MDPI, vol. 14(16), pages 1-41, August.
    250. de Brito, M.P. & Dekker, R., 2003. "A Framework for Reverse Logistics," ERIM Report Series Research in Management ERS-2003-045-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    251. Boysen, Nils & Fliedner, Malte & Scholl, Armin, 2007. "A classification of assembly line balancing problems," European Journal of Operational Research, Elsevier, vol. 183(2), pages 674-693, December.
    252. Gonzalez-Torre, Pilar L. & Adenso-Diaz, B. & Artiba, Hakim, 2004. "Environmental and reverse logistics policies in European bottling and packaging firms," International Journal of Production Economics, Elsevier, vol. 88(1), pages 95-104, March.
    253. Talat Genc & Pietro De Giovanni, 2019. "Coordination in Closed-loop supply chain with price-dependent returns," Working Papers 1901, University of Guelph, Department of Economics and Finance.
    254. Dinler, Esra & Güngör, Zülal, 2017. "Planning decisions for recycling products containing hazardous and explosive substances: A fuzzy multi-objective model," Resources, Conservation & Recycling, Elsevier, vol. 117(PB), pages 93-101.
    255. Kogan, Konstantin, 2011. "Second-Hand Markets and Intrasupply Chain Competition," Journal of Retailing, Elsevier, vol. 87(4), pages 489-501.
    256. El Saadany, Ahmed M.A. & Jaber, Mohamad Y., 2011. "A production/remanufacture model with returns' subassemblies managed differently," International Journal of Production Economics, Elsevier, vol. 133(1), pages 119-126, September.
    257. Demeter, Krisztina & Szász, Levente & Kő, Andrea, 2019. "A text mining based overview of inventory research in the ISIR special issues 1994–2016," International Journal of Production Economics, Elsevier, vol. 209(C), pages 134-146.
    258. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    259. Ming Liu & Rongfan Liu & Zhanguo Zhu & Chengbin Chu & Xiaoyi Man, 2018. "A Bi-Objective Green Closed Loop Supply Chain Design Problem with Uncertain Demand," Sustainability, MDPI, vol. 10(4), pages 1-22, March.
    260. Ozden Tozanli & Gazi Murat Duman & Elif Kongar & Surendra M. Gupta, 2017. "Environmentally Concerned Logistics Operations in Fuzzy Environment: A Literature Survey," Logistics, MDPI, vol. 1(1), pages 1-42, June.
    261. Zhiguo Wang & Lufei Huang & Cici Xiao He, 0. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-28.
    262. Zerhouni, Hichem & Gayon, Jean-Philippe & Frein, Yannick, 2013. "Influence of dependency between demands and returns in a reverse logistics system," International Journal of Production Economics, Elsevier, vol. 143(1), pages 62-71.
    263. Barker, Theresa J. & Zabinsky, Zelda B., 2011. "A multicriteria decision making model for reverse logistics using analytical hierarchy process," Omega, Elsevier, vol. 39(5), pages 558-573, October.
    264. Derek Voigt & Nelson Casarotto Filho & Mayara Atherino Macedo & Thais Guerra Braga & Rodrigo Ulisses Garbin da Rocha, 2019. "Performance Evaluation of Reverse Logistics: Opportunities for Future Research," Sustainability, MDPI, vol. 11(19), pages 1-17, September.
    265. Jun-Der Leu & Larry Jung-Hsing Lee & Yi-Wei Huang & Chia-Chi Huang, 2021. "Sustainable Supply Chains: Evidence from Small and Medium-Sized Manufacturers," Sustainability, MDPI, vol. 13(16), pages 1-22, August.
    266. Chen, Chialin & Zhu, Joe & Yu, Jiun-Yu & Noori, Hamid, 2012. "A new methodology for evaluating sustainable product design performance with two-stage network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 221(2), pages 348-359.
    267. Yan, Wei & Xiong, Yu & Xiong, Zhongkai & Guo, Nian, 2015. "Bricks vs. clicks: Which is better for marketing remanufactured products?," European Journal of Operational Research, Elsevier, vol. 242(2), pages 434-444.
    268. Ayşe Nur Adıgüzel Tüylü & Ergün Eroğlu, 2019. "Using Machine Learning Algorithms For Forecasting Rate of Return Product In Reverse Logistics Process," Alphanumeric Journal, Bahadir Fatih Yildirim, vol. 7(1), pages 143-156, June.
    269. Pietro De Giovanni & Georges Zaccour, 2022. "A selective survey of game-theoretic models of closed-loop supply chains," Annals of Operations Research, Springer, vol. 314(1), pages 77-116, July.
    270. Ketter, W., 2014. "Envisioning and Enabling Sustainable Smart Markets," ERIM Inaugural Address Series Research in Management EIA-2014-057-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam..
    271. S Raut & J N D Gupta & S Swami, 2008. "Single machine scheduling with time deteriorating job values," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 59(1), pages 105-118, January.
    272. Prahinski, Carol & Kocabasoglu, Canan, 2006. "Empirical research opportunities in reverse supply chains," Omega, Elsevier, vol. 34(6), pages 519-532, December.
    273. Kokkinaki, A.I. & Dekker, R. & van Nunen, J.A.E.E. & Pappis, C.P., 1999. "An explanatory study on electronic commerce for reverse logistics," Econometric Institute Research Papers EI 9951-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    274. Cory Searcy, 2016. "Measuring Enterprise Sustainability," Business Strategy and the Environment, Wiley Blackwell, vol. 25(2), pages 120-133, February.
    275. Alessio Ishizaka & Sharfuddin Ahmed Khan & Siamak Kheybari & Syed Imran Zaman, 2023. "Supplier selection in closed loop pharma supply chain: a novel BWM–GAIA framework," Annals of Operations Research, Springer, vol. 324(1), pages 13-36, May.
    276. Álvarez, María José & Berrone, Pascual Alberto & Husillos, F. Javier & Lado, Nora, 2005. "The explanatory power of trust and commitment and stakeholders' salience : their influence on the reverse logistics programs performance," DEE - Working Papers. Business Economics. WB wb050303, Universidad Carlos III de Madrid. Departamento de Economía de la Empresa.
    277. Voutsinas, Theodore G. & Pappis, Costas P., 2002. "Scheduling jobs with values exponentially deteriorating over time," International Journal of Production Economics, Elsevier, vol. 79(3), pages 163-169, October.
    278. Bulmus, Serra Caner & Zhu, Stuart X. & Teunter, Ruud, 2014. "Competition for cores in remanufacturing," European Journal of Operational Research, Elsevier, vol. 233(1), pages 105-113.
    279. Teunter, Ruud & van der Laan, Erwin, 2002. "On the non-optimality of the average cost approach for inventory models with remanufacturing," International Journal of Production Economics, Elsevier, vol. 79(1), pages 67-73, September.
    280. Michael Krapp & Johannes B. Kraus, 2019. "Coordination contracts for reverse supply chains: a state-of-the-art review," Journal of Business Economics, Springer, vol. 89(7), pages 747-792, September.
    281. V. Daniel R. Guide & Vaidyanathan Jayaraman & Rajesh Srivastava & W. C. Benton, 2000. "Supply-Chain Management for Recoverable Manufacturing Systems," Interfaces, INFORMS, vol. 30(3), pages 125-142, June.
    282. Wei Yan & Hengyu Li & Junwu Chai & Zhifeng Qian & Hong Chen, 2018. "Owning or Outsourcing? Strategic Choice on Take-Back Operations for Third-Party Remanufacturing," Sustainability, MDPI, vol. 10(1), pages 1-18, January.
    283. Sergio Rubio & Beatriz Jiménez-Parra & Antonio Chamorro-Mera & Francisco J. Miranda, 2019. "Reverse Logistics and Urban Logistics: Making a Link," Sustainability, MDPI, vol. 11(20), pages 1-17, October.
    284. Pellerin, Robert & Sadr, Javad & Gharbi, Ali & Malhamé, Roland, 2009. "A production rate control policy for stochastic repair and remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 121(1), pages 39-48, September.
    285. Atalay Atasu & Charles J. Corbett & Ximin (Natalie) Huang & L. Beril Toktay, 2020. "Sustainable Operations Management Through the Perspective of Manufacturing & Service Operations Management," Manufacturing & Service Operations Management, INFORMS, vol. 22(1), pages 146-157, January.
    286. Gamberini, Rita & Gebennini, Elisa & Manzini, Riccardo & Ziveri, Andrea, 2010. "On the integration of planning and environmental impact assessment for a WEEE transportation network—A case study," Resources, Conservation & Recycling, Elsevier, vol. 54(11), pages 937-951.
    287. Kumar Rajaram & Charles J. Corbett, 2002. "Achieving Environmental and Productivity Improvements Through Model-Based Process Redesign," Operations Research, INFORMS, vol. 50(5), pages 751-763, October.
    288. Malgorzata Koszewska & Maciej Bielecki, 2020. "How to make furniture industry more circular? The role of component standardisation in ready-to-assemble furniture," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(3), pages 1688-1707, March.
    289. Polotski, Vladimir & Kenne, Jean-Pierre & Gharbi, Ali, 2017. "Production and setup policy optimization for hybrid manufacturing–remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 183(PB), pages 322-333.
    290. Hao Yu & Xu Sun & Wei Deng Solvang & Xu Zhao, 2020. "Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)," IJERPH, MDPI, vol. 17(5), pages 1-25, March.
    291. Chao Chen & Shenle Pan & Zhu Wang & Ray Y. Zhong, 2017. "Using taxis to collect citywide E-commerce reverse flows: a crowdsourcing solution," International Journal of Production Research, Taylor & Francis Journals, vol. 55(7), pages 1833-1844, April.
    292. Agrawal, Saurabh & Singh, Rajesh K. & Murtaza, Qasim, 2015. "A literature review and perspectives in reverse logistics," Resources, Conservation & Recycling, Elsevier, vol. 97(C), pages 76-92.
    293. Kozlovskaya, Nadezhda & Pakhomova, Nadezhda & Richter, Knut, 2016. "A general production and recovery EOQ model with stationary demand and return rates," Discussion Papers 378, European University Viadrina Frankfurt (Oder), Department of Business Administration and Economics.
    294. Yong-Tong Chen & Zhong-Chen Cao, 2020. "An Investigation on a Closed-Loop Supply Chain of Product Recycling Using a Multi-Agent and Priority Based Genetic Algorithm Approach," Mathematics, MDPI, vol. 8(6), pages 1-20, June.
    295. Saberi, Sara & Cruz, Jose M. & Sarkis, Joseph & Nagurney, Anna, 2018. "A competitive multiperiod supply chain network model with freight carriers and green technology investment option," European Journal of Operational Research, Elsevier, vol. 266(3), pages 934-949.
    296. Gu, Wenjun & Chhajed, Dilip & Petruzzi, Nicholas C. & Yalabik, Baris, 2015. "Quality design and environmental implications of green consumerism in remanufacturing," International Journal of Production Economics, Elsevier, vol. 162(C), pages 55-69.
    297. Evangelos Sambracos & Irene Ramfou, 2013. "Freight Transport Time Savings and Organizational Performance: A Systemic Approach," International Journal of Business and Economic Sciences Applied Research (IJBESAR), International Hellenic University (IHU), Kavala Campus, Greece (formerly Eastern Macedonia and Thrace Institute of Technology - EMaTTech), vol. 6(1), pages 19-40, April.
    298. Rajesh, R., 2020. "Sustainable supply chains in the Indian context: An integrative decision-making model," Technology in Society, Elsevier, vol. 61(C).
    299. Zhiguo Wang, 2023. "Recycling Pricing and Government Subsidy Strategy for End-of-Life Vehicles in a Reverse Supply Chain under Consumer Recycling Channel Preferences," Mathematics, MDPI, vol. 12(1), pages 1-20, December.
    300. Rui Li & Xin Chen, 2022. "Reverse Logistics Network Design under Disruption Risk for Third-Party Logistics Providers," Sustainability, MDPI, vol. 14(22), pages 1-24, November.
    301. Dobos, Imre & Richter, Knut, 2006. "A production/recycling model with quality consideration," International Journal of Production Economics, Elsevier, vol. 104(2), pages 571-579, December.
    302. Vitor William Batista Martins & Denilson Ricardo de Lucena Nunes & André Cristiano Silva Melo & Rayra Brandão & Antônio Erlindo Braga Júnior & Verônica de Menezes Nascimento Nagata, 2022. "Analysis of the Activities That Make Up the Reverse Logistics Processes and Their Importance for the Future of Logistics Networks: An Exploratory Study Using the TOPSIS Technique," Logistics, MDPI, vol. 6(3), pages 1-17, August.
    303. Jonathan D. Linton & David A. Johnston, 2000. "A Decision Support System for Planning Remanufacturing at Nortel Networks," Interfaces, INFORMS, vol. 30(6), pages 17-31, December.
    304. Kleber, Rainer & Minner, Stefan & Kiesmuller, Gudrun, 2002. "A continuous time inventory model for a product recovery system with multiple options," International Journal of Production Economics, Elsevier, vol. 79(2), pages 121-141, September.
    305. Cardoso, Sónia R. & Barbosa-Póvoa, Ana Paula F.D. & Relvas, Susana, 2013. "Design and planning of supply chains with integration of reverse logistics activities under demand uncertainty," European Journal of Operational Research, Elsevier, vol. 226(3), pages 436-451.
    306. Jayaraman, Vaidyanathan & Patterson, Raymond A. & Rolland, Erik, 2003. "The design of reverse distribution networks: Models and solution procedures," European Journal of Operational Research, Elsevier, vol. 150(1), pages 128-149, October.

  72. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    See citations under working paper version above.
  73. Hans Frenk & Rommert Dekker & Marcel Kleijn, 1997. "A unified treatment of single component replacement models," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 437-454, October.
    See citations under working paper version above.
  74. Smith, M. A. J. & Dekker, R., 1997. "Preventive maintenance in a 1 out of n system: The uptime, downtime and costs," European Journal of Operational Research, Elsevier, vol. 99(3), pages 565-583, June.

    Cited by:

    1. Esther Frostig & Benny Levikson, 2002. "On the availability of R out of N repairable systems," Naval Research Logistics (NRL), John Wiley & Sons, vol. 49(5), pages 483-498, August.
    2. Cocozza-Thivent, Christiane, 2007. "MUT of a one out of two system with preventive maintenance," European Journal of Operational Research, Elsevier, vol. 182(3), pages 1203-1229, November.
    3. Nafisah, Ibrahim & Shrahili, Mansour & Alotaibi, Naif & Scarf, Phil, 2019. "Virtual series-system models of imperfect repair," Reliability Engineering and System Safety, Elsevier, vol. 188(C), pages 604-613.
    4. Rui Zheng & Chun Su & Yuqiao Zheng, 2020. "Two-stage flexible warranty decision-making considering downtime loss," Journal of Risk and Reliability, , vol. 234(3), pages 527-535, June.
    5. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    6. Zhong, Chongquan & Jin, Haibo, 2014. "A novel optimal preventive maintenance policy for a cold standby system based on semi-Markov theory," European Journal of Operational Research, Elsevier, vol. 232(2), pages 405-411.
    7. Barron, Yonit & Frostig, Esther & Levikson, Benny, 2006. "Analysis of R out of N systems with several repairmen, exponential life times and phase type repair times: An algorithmic approach," European Journal of Operational Research, Elsevier, vol. 169(1), pages 202-225, February.
    8. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    9. Yonit Barron, 2018. "Group maintenance policies for an R-out-of-N system with phase-type distribution," Annals of Operations Research, Springer, vol. 261(1), pages 79-105, February.

  75. Wildeman, R. E. & Dekker, R. & Smit, A. C. J. M., 1997. "A dynamic policy for grouping maintenance activities," European Journal of Operational Research, Elsevier, vol. 99(3), pages 530-551, June.
    See citations under working paper version above.
  76. Wildeman, R.E. & Frenk, J.B.G. & Dekker, R., 1997. "An efficient optimal solution method for the joint replenishment problem," European Journal of Operational Research, Elsevier, vol. 99(2), pages 433-444, June.
    See citations under working paper version above.
  77. den Iseger, P. W. & Smith, M. A. J. & Dekker, R., 1997. "Computing compound distributions faster!," Insurance: Mathematics and Economics, Elsevier, vol. 20(1), pages 23-34, June.

    Cited by:

    1. Gomes-Gonçalves, Erika & Gzyl, Henryk & Mayoral, Silvia, 2016. "Loss data analysis: Analysis of the sample dependence in density reconstruction by maxentropic methods," Insurance: Mathematics and Economics, Elsevier, vol. 71(C), pages 145-153.

  78. Dekker, R. & Wildeman, R. E. & van Egmond, R., 1996. "Joint replacement in an operational planning phase," European Journal of Operational Research, Elsevier, vol. 91(1), pages 74-88, May.

    Cited by:

    1. Liang, Zhenglin & Parlikad, Ajith Kumar, 2020. "Predictive group maintenance for multi-system multi-component networks," Reliability Engineering and System Safety, Elsevier, vol. 195(C).
    2. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    3. Vu, Hai Canh & Do, Phuc & Barros, Anne & Bérenguer, Christophe, 2014. "Maintenance grouping strategy for multi-component systems with dynamic contexts," Reliability Engineering and System Safety, Elsevier, vol. 132(C), pages 233-249.
    4. Wildeman, R.E. & Dekker, R. & Smit, A.C.J.M., 1995. "A Dynamic Policy for Grouping Maintenance Activities," Econometric Institute Research Papers EI 9537-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Van Horenbeek, Adriaan & Pintelon, Liliane, 2013. "A dynamic predictive maintenance policy for complex multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 39-50.
    6. Zhicheng Zhu & Yisha Xiang & Bo Zeng, 2021. "Multicomponent Maintenance Optimization: A Stochastic Programming Approach," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 898-914, July.
    7. Dekker, Rommert, 1995. "Integrating optimisation, priority setting, planning and combining of maintenance activities," European Journal of Operational Research, Elsevier, vol. 82(2), pages 225-240, April.
    8. Do Van, Phuc & Barros, Anne & Bérenguer, Christophe & Bouvard, Keomany & Brissaud, Florent, 2013. "Dynamic grouping maintenance with time limited opportunities," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 51-59.
    9. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    10. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part II: a two-stage solution approach," Annals of Operations Research, Springer, vol. 224(1), pages 51-75, January.
    11. Vimal Vijayan & Sanjay K Chaturvedi, 2021. "Multi-component maintenance grouping optimization based on stochastic dependency," Journal of Risk and Reliability, , vol. 235(2), pages 293-305, April.
    12. Mayank Pandey & Ming J Zuo & Ramin Moghaddass, 2016. "Selective maintenance scheduling over a finite planning horizon," Journal of Risk and Reliability, , vol. 230(2), pages 162-177, April.
    13. Andersen, Jesper Fink & Andersen, Anders Reenberg & Kulahci, Murat & Nielsen, Bo Friis, 2022. "A numerical study of Markov decision process algorithms for multi-component replacement problems," European Journal of Operational Research, Elsevier, vol. 299(3), pages 898-909.
    14. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, June.
    15. Vimal Vijayan & Sanjay K Chaturvedi & Ritesh Chandra, 2020. "A failure interaction model for multicomponent repairable systems," Journal of Risk and Reliability, , vol. 234(3), pages 470-486, June.

  79. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc, 1996. "Product remanufacturing and disposal: A numerical comparison of alternative control strategies," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 489-498, August.

    Cited by:

    1. Wang, Ziping & Yao, Dong-Qing & Huang, Peiqing, 2007. "A new location-inventory policy with reverse logistics applied to B2C e-markets of China," International Journal of Production Economics, Elsevier, vol. 107(2), pages 350-363, June.
    2. Andiç, Esen & Yurt, Öznur & Baltacıoğlu, Tunçdan, 2012. "Green supply chains: Efforts and potential applications for the Turkish market," Resources, Conservation & Recycling, Elsevier, vol. 58(C), pages 50-68.
    3. Fleischmann, Moritz & Kuik, Roelof, 2003. "On optimal inventory control with independent stochastic item returns," European Journal of Operational Research, Elsevier, vol. 151(1), pages 25-37, November.
    4. Hsueh, Che-Fu, 2011. "An inventory control model with consideration of remanufacturing and product life cycle," International Journal of Production Economics, Elsevier, vol. 133(2), pages 645-652, October.
    5. Pokharel, Shaligram & Mutha, Akshay, 2009. "Perspectives in reverse logistics: A review," Resources, Conservation & Recycling, Elsevier, vol. 53(4), pages 175-182.
    6. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    7. Mahadevan, B. & Pyke, David F. & Fleischmann, Moritz, 2003. "Periodic review, push inventory policies for remanufacturing," European Journal of Operational Research, Elsevier, vol. 151(3), pages 536-551, December.
    8. Z P Bayındır & N Erkip & R Güllü, 2005. "Assessing the benefits of remanufacturing option under one-way substitution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 286-296, March.
    9. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    10. Li, Jianzhi & González, Miguel & Zhu, Yun, 2009. "A hybrid simulation optimization method for production planning of dedicated remanufacturing," International Journal of Production Economics, Elsevier, vol. 117(2), pages 286-301, February.
    11. Sebnem Ahiska, S. & King, Russell E., 2010. "Inventory optimization in a one product recoverable manufacturing system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 11-19, March.
    12. van der Laan, Erwin & Salomon, Marc, 1997. "Production planning and inventory control with remanufacturing and disposal," European Journal of Operational Research, Elsevier, vol. 102(2), pages 264-278, October.
    13. Daniel, V. & Guide, R. Jr., 1997. "Scheduling with priority dispatching rules and drum-buffer-rope in a recoverable manufacturing system," International Journal of Production Economics, Elsevier, vol. 53(1), pages 101-116, November.
    14. Elnaz Kanani Kuchesfehani & Elena M. Parilina & Georges Zaccour, 2023. "Revenue and cost sharing contract in a dynamic closed-loop supply chain with uncertain parameters," Annals of Operations Research, Springer, vol. 322(2), pages 851-877, March.
    15. Vlachos, D. & Dekker, R., 2000. "Return handling options and order quantities for single period products," Econometric Institute Research Papers EI 2000-29/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    16. Ahiska, S. Sebnem & King, Russell E., 2010. "Life cycle inventory policy characterizations for a single-product recoverable system," International Journal of Production Economics, Elsevier, vol. 124(1), pages 51-61, March.
    17. Bao, Xing & Tang, Ou & Ji, Jianhua, 2008. "Applying the minimum relative entropy method for bimodal distribution in a remanufacturing system," International Journal of Production Economics, Elsevier, vol. 113(2), pages 969-979, June.
    18. Kaya, Onur, 2010. "Incentive and production decisions for remanufacturing operations," European Journal of Operational Research, Elsevier, vol. 201(2), pages 442-453, March.
    19. Nenes, George & Panagiotidou, Sofia & Dekker, Rommert, 2010. "Inventory control policies for inspection and remanufacturing of returns: A case study," International Journal of Production Economics, Elsevier, vol. 125(2), pages 300-312, June.
    20. Inderfurth, Karl & van der Laan, Erwin, 2001. "Leadtime effects and policy improvement for stochastic inventory control with remanufacturing," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 381-390, May.
    21. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    22. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    23. V. Daniel R. Guide & Vaidyanathan Jayaraman & Rajesh Srivastava & W. C. Benton, 2000. "Supply-Chain Management for Recoverable Manufacturing Systems," Interfaces, INFORMS, vol. 30(3), pages 125-142, June.
    24. Bayindir, Z.P. & Erkip, N. & Gullu, R., 2003. "Assessing the benefits of remanufacturing option under one-way substitution and capacity constraint," Econometric Institute Research Papers EI 2003-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    25. Linton, Jonathan D. & Yeomans, J. Scott & Yoogalingam, Reena, 2005. "Recovery and reclamation of durable goods: a study of television CRTs," Resources, Conservation & Recycling, Elsevier, vol. 43(4), pages 337-352.

  80. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc & Ridder, Ad, 1996. "An (s, Q) inventory model with remanufacturing and disposal," International Journal of Production Economics, Elsevier, vol. 46(1), pages 339-350, December.

    Cited by:

    1. Sy, Charlle, 2017. "A policy development model for reducing bullwhips in hybrid production-distribution systems," International Journal of Production Economics, Elsevier, vol. 190(C), pages 67-79.
    2. Gou, Qinglong & Liang, Liang & Huang, Zhimin & Xu, Chuanyong, 2008. "A joint inventory model for an open-loop reverse supply chain," International Journal of Production Economics, Elsevier, vol. 116(1), pages 28-42, November.
    3. Hsueh, Che-Fu, 2011. "An inventory control model with consideration of remanufacturing and product life cycle," International Journal of Production Economics, Elsevier, vol. 133(2), pages 645-652, October.
    4. van der Laan, E.A. & Teunter, R.H., 2004. "Simple heuristics for push and pull remanufacturing policies," Econometric Institute Research Papers EI 2004-34, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Gayon, Jean-Philippe & Vercraene, Samuel & Flapper, Simme Douwe P., 2017. "Optimal control of a production-inventory system with product returns and two disposal options," European Journal of Operational Research, Elsevier, vol. 262(2), pages 499-508.
    6. Kim, Eungab & Saghafian, Soroush & Van Oyen, Mark P., 2013. "Joint control of production, remanufacturing, and disposal activities in a hybrid manufacturing–remanufacturing system," European Journal of Operational Research, Elsevier, vol. 231(2), pages 337-348.
    7. Vercraene, Samuel & Gayon, Jean-Philippe, 2013. "Optimal control of a production-inventory system with productreturns," International Journal of Production Economics, Elsevier, vol. 142(2), pages 302-310.
    8. Gregory A. DeCroix, 2006. "Optimal Policy for a Multiechelon Inventory System with Remanufacturing," Operations Research, INFORMS, vol. 54(3), pages 532-543, June.
    9. Z P Bayındır & N Erkip & R Güllü, 2005. "Assessing the benefits of remanufacturing option under one-way substitution," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 56(3), pages 286-296, March.
    10. Richter, Knut & Dobos, Imre, 1999. "Analysis of the EOQ repair and waste disposal problem with integer setup numbers," International Journal of Production Economics, Elsevier, vol. 59(1-3), pages 463-467, March.
    11. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    12. Choi, Dae-Won & Hwang, Hark & Koh, Shie-Gheun, 2007. "A generalized ordering and recovery policy for reusable items," European Journal of Operational Research, Elsevier, vol. 182(2), pages 764-774, October.
    13. Shih, Jhih-Shyang & Louis, Garrick, 2002. "A Flexible Inventory Model for Municipal Solid Waste Recycling," RFF Working Paper Series dp-02-48, Resources for the Future.
    14. Bayindir, Z. Pelin & Erkip, Nesim & Gullu, Refik, 2003. "A model to evaluate inventory costs in a remanufacturing environment," International Journal of Production Economics, Elsevier, vol. 81(1), pages 597-607, January.
    15. van der Laan, Erwin & Salomon, Marc, 1997. "Production planning and inventory control with remanufacturing and disposal," European Journal of Operational Research, Elsevier, vol. 102(2), pages 264-278, October.
    16. van der Laan, Erwin & Dekker, Rommert & Salomon, Marc, 1996. "Product remanufacturing and disposal: A numerical comparison of alternative control strategies," International Journal of Production Economics, Elsevier, vol. 45(1-3), pages 489-498, August.
    17. Bloemhof-Ruwaard, Jacqueline M. & van Beek, Paul & Hordijk, Leen & Van Wassenhove, Luk N., 1995. "Interactions between operational research and environmental management," European Journal of Operational Research, Elsevier, vol. 85(2), pages 229-243, September.
    18. Huynh, Candice H. & So, Kut C. & Gurnani, Haresh, 2016. "Managing a closed-loop supply system with random returns and a cyclic delivery schedule," European Journal of Operational Research, Elsevier, vol. 255(3), pages 787-796.
    19. Feng, Yan & Viswanathan, S., 2014. "Heuristics with guaranteed performance bounds for a manufacturing system with product recovery," European Journal of Operational Research, Elsevier, vol. 232(2), pages 322-329.
    20. Erwin van der Laan & Marc Salomon & Rommert Dekker & Luk Van Wassenhove, 1999. "Inventory Control in Hybrid Systems with Remanufacturing," Management Science, INFORMS, vol. 45(5), pages 733-747, May.
    21. Ching-Chin Chern & Hsin-Mei Wang & Kwei-Long Huang, 2017. "A heuristic master planning algorithm for recycling supply chain management," Journal of Intelligent Manufacturing, Springer, vol. 28(4), pages 985-1003, April.
    22. Vercraene, Samuel & Gayon, Jean-Philippe & Flapper, Simme Douwe, 2014. "Coordination of manufacturing, remanufacturing and returns acceptance in hybrid manufacturing/remanufacturing systems," International Journal of Production Economics, Elsevier, vol. 148(C), pages 62-70.
    23. Poles, Roberto, 2013. "System Dynamics modelling of a production and inventory system for remanufacturing to evaluate system improvement strategies," International Journal of Production Economics, Elsevier, vol. 144(1), pages 189-199.
    24. Pinçe, Çerag & Gürler, Ülkü & Berk, Emre, 2008. "A continuous review replenishment-disposal policy for an inventory system with autonomous supply and fixed disposal costs," European Journal of Operational Research, Elsevier, vol. 190(2), pages 421-442, October.
    25. Duong, Quang Huy & Zhou, Li & Meng, Meng & Nguyen, Truong Van & Ieromonachou, Petros & Nguyen, Duy Tiep, 2022. "Understanding product returns: A systematic literature review using machine learning and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 243(C).
    26. V. Daniel R. Guide & Vaidyanathan Jayaraman & Rajesh Srivastava & W. C. Benton, 2000. "Supply-Chain Management for Recoverable Manufacturing Systems," Interfaces, INFORMS, vol. 30(3), pages 125-142, June.
    27. Bayindir, Z.P. & Erkip, N. & Gullu, R., 2003. "Assessing the benefits of remanufacturing option under one-way substitution and capacity constraint," Econometric Institute Research Papers EI 2003-19, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

  81. Dekker, Rommert & Roelvink, Ingrid F. K., 1995. "Marginal cost criteria for preventive replacement of a group of components," European Journal of Operational Research, Elsevier, vol. 84(2), pages 467-480, July.

    Cited by:

    1. Liu, Gia-Shie, 2011. "Dynamic group instantaneous replacement policies for unreliable Markovian service systems," International Journal of Production Economics, Elsevier, vol. 130(2), pages 203-217, April.
    2. Dao, Cuong D. & Zuo, Ming J. & Pandey, Mayank, 2014. "Selective maintenance for multi-state series–parallel systems under economic dependence," Reliability Engineering and System Safety, Elsevier, vol. 121(C), pages 240-249.
    3. Laggoune, Radouane & Chateauneuf, Alaa & Aissani, Djamil, 2010. "Impact of few failure data on the opportunistic replacement policy for multi-component systems," Reliability Engineering and System Safety, Elsevier, vol. 95(2), pages 108-119.
    4. Wildeman, R.E. & Dekker, R. & Smit, A.C.J.M., 1995. "A Dynamic Policy for Grouping Maintenance Activities," Econometric Institute Research Papers EI 9537-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    5. Dekker, Rommert, 1995. "Integrating optimisation, priority setting, planning and combining of maintenance activities," European Journal of Operational Research, Elsevier, vol. 82(2), pages 225-240, April.
    6. Dekker, R. & Wildeman, R. E. & van Egmond, R., 1996. "Joint replacement in an operational planning phase," European Journal of Operational Research, Elsevier, vol. 91(1), pages 74-88, May.
    7. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    8. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.

  82. Dekker, Rommert, 1995. "Integrating optimisation, priority setting, planning and combining of maintenance activities," European Journal of Operational Research, Elsevier, vol. 82(2), pages 225-240, April.

    Cited by:

    1. van Dijkhuizen, Gerhard & van Harten, Aart, 1997. "Optimal clustering of frequency-constrained maintenance jobs with shared set-ups," European Journal of Operational Research, Elsevier, vol. 99(3), pages 552-564, June.
    2. Markus Bohlin & Mathias Wärja, 2015. "Maintenance optimization with duration-dependent costs," Annals of Operations Research, Springer, vol. 224(1), pages 1-23, January.
    3. Berg, Menachem P., 1995. "The marginal cost analysis and its application to repair and replacement policies," European Journal of Operational Research, Elsevier, vol. 82(2), pages 214-224, April.
    4. Guo R. & Ascher H. & Love E., 2001. "Towards Practical and Synthetical Modelling of Repairable Systems," Stochastics and Quality Control, De Gruyter, vol. 16(1), pages 147-182, January.
    5. Wildeman, R.E. & Dekker, R. & Smit, A.C.J.M., 1995. "A Dynamic Policy for Grouping Maintenance Activities," Econometric Institute Research Papers EI 9537-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    6. Drexl, Andreas & Haase, Knut, 1997. "Vorbeugende Instandhaltung und Eilaufträge in der Produktionsplanung," Manuskripte aus den Instituten für Betriebswirtschaftslehre der Universität Kiel 450, Christian-Albrechts-Universität zu Kiel, Institut für Betriebswirtschaftslehre.
    7. Brundage, Michael P. & Chang, Qing & Zou, Jing & Li, Yang & Arinez, Jorge & Xiao, Guoxian, 2015. "Energy economics in the manufacturing industry: A return on investment strategy," Energy, Elsevier, vol. 93(P2), pages 1426-1435.
    8. Truong Ba, H. & Cholette, M.E. & Borghesani, P. & Zhou, Y. & Ma, L., 2017. "Opportunistic maintenance considering non-homogenous opportunity arrivals and stochastic opportunity durations," Reliability Engineering and System Safety, Elsevier, vol. 160(C), pages 151-161.
    9. Heidergott, Bernd, 1999. "Optimisation of a single-component maintenance system: A smoothed perturbation analysis approach," European Journal of Operational Research, Elsevier, vol. 119(1), pages 181-190, November.
    10. Wildeman, R.E. & Dekker, R., 1996. "Dynamic Influences in Multi-Component Maintenance," Econometric Institute Research Papers EI 9630-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    11. T Bedford & B M Alkali, 2009. "Competing risks and opportunistic informative maintenance," Journal of Risk and Reliability, , vol. 223(4), pages 363-372, December.
    12. Do Van, Phuc & Barros, Anne & Bérenguer, Christophe & Bouvard, Keomany & Brissaud, Florent, 2013. "Dynamic grouping maintenance with time limited opportunities," Reliability Engineering and System Safety, Elsevier, vol. 120(C), pages 51-59.
    13. J. B. G. Frenk & R. Dekker & M. J. Kleijn, 1997. "On the Marginal Cost Approach in Maintenance," Journal of Optimization Theory and Applications, Springer, vol. 94(3), pages 771-781, September.
    14. Vimal Vijayan & Sanjay K Chaturvedi, 2021. "Multi-component maintenance grouping optimization based on stochastic dependency," Journal of Risk and Reliability, , vol. 235(2), pages 293-305, April.
    15. Javad Seif & Mohammad Dehghanimohammadabadi & Andrew Junfang Yu, 2020. "Integrated preventive maintenance and flow shop scheduling under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 852-887, December.
    16. Scarf, Philip A., 1997. "On the application of mathematical models in maintenance," European Journal of Operational Research, Elsevier, vol. 99(3), pages 493-506, June.
    17. Li, Lin & Ni, Jun, 2009. "Short-term decision support system for maintenance task prioritization," International Journal of Production Economics, Elsevier, vol. 121(1), pages 195-202, September.

  83. Rommert Dekker & Eric Smeitink, 1994. "Preventive maintenance at opportunities of restricted duration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 335-353, April.
    See citations under working paper version above.
  84. Rommert Dekker & Matthijs C. Dijkstra, 1992. "Opportunity‐based age replacement: Exponentially distributed times between opportunities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(2), pages 175-190, March.

    Cited by:

    1. Zheng, Junjun & Okamura, Hiroyuki & Dohi, Tadashi, 2021. "Age replacement with Markovian opportunity process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    2. Wu, Jing & Qian, Cunhua & Dohi, Tadashi, 2024. "Optimal opportunity-based age replacement policies in discrete time," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    3. D Venkat & F P A Coolen & P Coolen-Schrijner, 2010. "Extended opportunity-based age replacement with a one-cycle criterion," Journal of Risk and Reliability, , vol. 224(1), pages 55-62, March.
    4. P Coolen-Schrijner & F. P. A. Coolen, 2006. "On Optimality Criteria for Age Replacement," Journal of Risk and Reliability, , vol. 220(1), pages 21-29, June.
    5. Jiang, R., 2018. "Performance evaluation of seven optimization models of age replacement policy," Reliability Engineering and System Safety, Elsevier, vol. 180(C), pages 302-311.

  85. Dekker, Rommert & Smeitink, Eric, 1991. "Opportunity-based block replacement," European Journal of Operational Research, Elsevier, vol. 53(1), pages 46-63, July.

    Cited by:

    1. Taghipour, Sharareh & Banjevic, Dragan, 2012. "Optimal inspection of a complex system subject to periodic and opportunistic inspections and preventive replacements," European Journal of Operational Research, Elsevier, vol. 220(3), pages 649-660.
    2. Rommert Dekker & Eric Smeitink, 1994. "Preventive maintenance at opportunities of restricted duration," Naval Research Logistics (NRL), John Wiley & Sons, vol. 41(3), pages 335-353, April.
    3. Bedford, Tim & Dewan, Isha & Meilijson, Isaac & Zitrou, Athena, 2011. "The signal model: A model for competing risks of opportunistic maintenance," European Journal of Operational Research, Elsevier, vol. 214(3), pages 665-673, November.
    4. Dekker, Rommert & Roelvink, Ingrid F. K., 1995. "Marginal cost criteria for preventive replacement of a group of components," European Journal of Operational Research, Elsevier, vol. 84(2), pages 467-480, July.
    5. Berrade, M.D. & Scarf, P.A. & Cavalcante, C.A.V., 2017. "A study of postponed replacement in a delay time model," Reliability Engineering and System Safety, Elsevier, vol. 168(C), pages 70-79.
    6. van Dijkhuizen, Gerhard C. & van Harten, Aart, 1998. "Two-stage generalized age maintenance of a queue-like production system," European Journal of Operational Research, Elsevier, vol. 108(2), pages 363-378, July.
    7. Berg, Menachem P., 1995. "The marginal cost analysis and its application to repair and replacement policies," European Journal of Operational Research, Elsevier, vol. 82(2), pages 214-224, April.
    8. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & Scarf, Philip A., 2021. "Inspection and replacement policy with a fixed periodic schedule," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    9. Frenk, J.B.G. & Dekker, R. & Kleijn, M.J., 1996. "A unified treatment of single component replacement models," Econometric Institute Research Papers EI 9602-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    10. Rommert Dekker & Matthijs C. Dijkstra, 1992. "Opportunity‐based age replacement: Exponentially distributed times between opportunities," Naval Research Logistics (NRL), John Wiley & Sons, vol. 39(2), pages 175-190, March.
    11. Cavalcante, C.A.V. & Lopes, R.S. & Scarf, P.A., 2018. "A general inspection and opportunistic replacement policy for one-component systems of variable quality," European Journal of Operational Research, Elsevier, vol. 266(3), pages 911-919.
    12. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    13. Dekker, Rommert, 1995. "Integrating optimisation, priority setting, planning and combining of maintenance activities," European Journal of Operational Research, Elsevier, vol. 82(2), pages 225-240, April.
    14. Zheng, Junjun & Okamura, Hiroyuki & Dohi, Tadashi, 2021. "Age replacement with Markovian opportunity process," Reliability Engineering and System Safety, Elsevier, vol. 216(C).
    15. Wu, Jing & Qian, Cunhua & Dohi, Tadashi, 2024. "Optimal opportunity-based age replacement policies in discrete time," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    16. Rommert Dekker & Ralph Wildeman & Frank Duyn Schouten, 1997. "A review of multi-component maintenance models with economic dependence," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 45(3), pages 411-435, October.
    17. Wang, Hongzhou, 2002. "A survey of maintenance policies of deteriorating systems," European Journal of Operational Research, Elsevier, vol. 139(3), pages 469-489, June.
    18. Budai-Balke, G. & Dekker, R. & Nicolai, R.P., 2006. "A review of planning models for maintenance and production," Econometric Institute Research Papers EI 2006-44, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.

Chapters

  1. Gabriella Budai & Rommert Dekker & Robin P. Nicolai, 2008. "Maintenance and Production: A Review of Planning Models," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 13, pages 321-344, Springer.

    Cited by:

    1. Polotski, V. & Kenne, J.-P. & Gharbi, A., 2019. "Joint production and maintenance optimization in flexible hybrid Manufacturing–Remanufacturing systems under age-dependent deterioration," International Journal of Production Economics, Elsevier, vol. 216(C), pages 239-254.
    2. Cavalcante, Cristiano A.V. & Lopes, Rodrigo S. & Scarf, Philip A., 2021. "Inspection and replacement policy with a fixed periodic schedule," Reliability Engineering and System Safety, Elsevier, vol. 208(C).
    3. Bressi, Sara & Santos, João & Losa, Massimo, 2021. "Optimization of maintenance strategies for railway track-bed considering probabilistic degradation models and different reliability levels," Reliability Engineering and System Safety, Elsevier, vol. 207(C).
    4. Gouiaa-Mtibaa, A. & Dellagi, S. & Achour, Z. & Erray, W., 2018. "Integrated Maintenance-Quality policy with rework process under improved imperfect preventive maintenance," Reliability Engineering and System Safety, Elsevier, vol. 173(C), pages 1-11.
    5. Scarf, P.A. & Cavalcante, C.A.V. & Lopes, R.S., 2019. "Delay-time modelling of a critical system subject to random inspections," European Journal of Operational Research, Elsevier, vol. 278(3), pages 772-782.
    6. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Joint economic design of production, continuous sampling inspection and preventive maintenance of a deteriorating production system," International Journal of Production Economics, Elsevier, vol. 173(C), pages 184-198.
    7. Kreter, Stefan & Rieck, Julia & Zimmermann, Jürgen, 2016. "Models and solution procedures for the resource-constrained project scheduling problem with general temporal constraints and calendars," European Journal of Operational Research, Elsevier, vol. 251(2), pages 387-403.
    8. Bouslah, B. & Gharbi, A. & Pellerin, R., 2016. "Integrated production, sampling quality control and maintenance of deteriorating production systems with AOQL constraint," Omega, Elsevier, vol. 61(C), pages 110-126.
    9. Michael Patriksson & Ann-Brith Strömberg & Adam Wojciechowski, 2015. "The stochastic opportunistic replacement problem, part II: a two-stage solution approach," Annals of Operations Research, Springer, vol. 224(1), pages 51-75, January.
    10. Goel, Asvin & Meisel, Frank, 2013. "Workforce routing and scheduling for electricity network maintenance with downtime minimization," European Journal of Operational Research, Elsevier, vol. 231(1), pages 210-228.
    11. Dinis, Duarte & Barbosa-Póvoa, Ana & Teixeira, Ângelo Palos, 2019. "A supporting framework for maintenance capacity planning and scheduling: Development and application in the aircraft MRO industry," International Journal of Production Economics, Elsevier, vol. 218(C), pages 1-15.
    12. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    13. Schouten, Thijs Nicolaas & Dekker, Rommert & Hekimoğlu, Mustafa & Eruguz, Ayse Sena, 2022. "Maintenance optimization for a single wind turbine component under time-varying costs," European Journal of Operational Research, Elsevier, vol. 300(3), pages 979-991.
    14. Aurélien Froger & Michel Gendreau & Jorge E. Mendoza & Eric Pinson & Louis-Martin Rousseau, 2018. "Solving a wind turbine maintenance scheduling problem," Journal of Scheduling, Springer, vol. 21(1), pages 53-76, February.
    15. Mohammed Haoues & Mohammed Dahane & Nadia Kenza Mouss, 2019. "Outsourcing optimization in two-echelon supply chain network under integrated production-maintenance constraints," Journal of Intelligent Manufacturing, Springer, vol. 30(2), pages 701-725, February.
    16. Cheng, Guoqing & Li, Ling, 2020. "Joint optimization of production, quality control and maintenance for serial-parallel multistage production systems," Reliability Engineering and System Safety, Elsevier, vol. 204(C).

  2. Robin P. Nicolai & Rommert Dekker, 2008. "Optimal Maintenance of Multi-component Systems: A Review," Springer Series in Reliability Engineering, in: Complex System Maintenance Handbook, chapter 11, pages 263-286, Springer.
    See citations under working paper version above.
  3. Mark B. Duinkerken & Rommert Dekker & Stef T. G. L. Kurstjens & Jaap A. Ottjes & Nico P. Dellaert, 2007. "Comparing transportation systems for inter-terminal transport at the Maasvlakte container terminals," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 37-61, Springer.

    Cited by:

    1. Li, Shijie & Negenborn, Rudy R. & Lodewijks, Gabriel, 2017. "Closed-loop coordination of inland vessels operations in large seaports using hybrid logic-based benders decomposition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 1-21.
    2. Schepler, Xavier & Balev, Stefan & Michel, Sophie & Sanlaville, Éric, 2017. "Global planning in a multi-terminal and multi-modal maritime container port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 38-62.
    3. Roy, D. & de Koster, M.B.M., 2014. "Modeling and Design of Container Terminal Operations," ERIM Report Series Research in Management ERS-2014-008-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
    4. Debjit Roy & René De Koster & René Bekker, 2020. "Modeling and Design of Container Terminal Operations," Operations Research, INFORMS, vol. 68(3), pages 686-715, May.

  4. Rommert Dekker & Patrick Voogd & Eelco Asperen, 2007. "Advanced methods for container stacking," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 131-154, Springer.

    Cited by:

    1. Niraj Ramesh Dayama & Andreas Ernst & Mohan Krishnamoorthy & Vishnu Narayanan & Narayan Rangaraj, 2017. "New models and algorithms for the container stack rearrangement problem by yard cranes in maritime ports," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(4), pages 307-348, December.
    2. Nils Boysen & Malte Fliedner & Florian Jaehn & Erwin Pesch, 2013. "A Survey on Container Processing in Railway Yards," Transportation Science, INFORMS, vol. 47(3), pages 312-329, August.
    3. Juan P. Cavada & Cristián E. Cortés & Pablo A. Rey, 2023. "Comparing allocation and relocation policies at a logistics service container terminal: a discrete-event simulation approach," Central European Journal of Operations Research, Springer;Slovak Society for Operations Research;Hungarian Operational Research Society;Czech Society for Operations Research;Österr. Gesellschaft für Operations Research (ÖGOR);Slovenian Society Informatika - Section for Operational Research;Croatian Operational Research Society, vol. 31(4), pages 1281-1316, December.
    4. Gharehgozli, Amir & Zaerpour, Nima, 2018. "Stacking outbound barge containers in an automated deep-sea terminal," European Journal of Operational Research, Elsevier, vol. 267(3), pages 977-995.
    5. Lanza, Giacomo & Passacantando, Mauro & Scutellà, Maria Grazia, 2022. "Assigning and sequencing storage locations under a two level storage policy: Optimization model and matheuristic approaches," Omega, Elsevier, vol. 108(C).
    6. Gharehgozli, Amir & Yu, Yugang & de Koster, René & Du, Shaofu, 2019. "Sequencing storage and retrieval requests in a container block with multiple open locations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 261-284.
    7. Amir Hossein Gharehgozli & Gilbert Laporte & Yugang Yu & René de Koster, 2015. "Scheduling Twin Yard Cranes in a Container Block," Transportation Science, INFORMS, vol. 49(3), pages 686-705, August.
    8. Filip Covic, 2017. "Re-marshalling in automated container yards with terminal appointment systems," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 433-503, December.
    9. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.

  5. Marisa P. Brito & Rommert Dekker & Simme Douwe P. Flapper, 2005. "Reverse Logistics: A Review of Case Studies," Lecture Notes in Economics and Mathematical Systems, in: Bernhard Fleischmann & Andreas Klose (ed.), Distribution Logistics, pages 243-281, Springer.
    See citations under working paper version above.
IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.