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Raffaele Pesenti

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. CATANZARO, Daniele & ARINGHIERI, Roberto & DI SUMMA, Marco & PESENTI, Raffaele, 2015. "A branch-price-and-cut algorithm for the minimum evolution problem," LIDAM Reprints CORE 2698, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

    Cited by:

    1. Fortz, Bernard & Oliveira, Olga & Requejo, Cristina, 2017. "Compact mixed integer linear programming models to the minimum weighted tree reconstruction problem," European Journal of Operational Research, Elsevier, vol. 256(1), pages 242-251.
    2. Olga Fajarda & Cristina Requejo, 2022. "MIP model-based heuristics for the minimum weighted tree reconstruction problem," Operational Research, Springer, vol. 22(3), pages 2305-2342, July.
    3. Catanzaro, Daniele & Frohn, Martin & Gascuel, Olivier & Pesenti, Raffaele, 2022. "A tutorial on the balanced minimum evolution problem," European Journal of Operational Research, Elsevier, vol. 300(1), pages 1-19.
    4. Catanzaro, Daniele & Frohn, Martin & Gascuel, Olivier & Pesenti, Raffaele, 2023. "A Massively Parallel Exact Solution Algorithm for the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 2023001, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    5. Catanzaro, Daniele & Frohn, Martin & Gascuel, Olivier & Pesenti, Raffaele, 2021. "A Tutorial on the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 20210, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    6. Catanzaro, Daniele & Frohn, Martin & Pesenti, Raffaele, 2021. "A Massively Parallel Exact Solution Algorithm for the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 2021023, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    7. Gasparin, Andrea & Camerota Verdù, Federico Julian & Catanzaro, Daniele, 2023. "An evolution strategy approach for the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 2023021, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    8. Catanzaro, Daniele & Frohn, Martin & Pesenti, Raffaele, 2021. "On Numerical Stability and Statistical Consistency of the Balanced Minimum Evolution Problem," LIDAM Discussion Papers CORE 2021026, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).

  2. Marco Corazza & Giacomo Di Tollo & Giovanni Fasano & Raffaele Pesenti, 2015. "A novel initialization of PSO for costly portfolio selection problems," Working Papers 4, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Marco Corazza & Giovanni Fasano & Stefania Funari & Riccardo Gusso, 2021. "MURAME parameter setting for creditworthiness evaluation: data-driven optimization," Decisions in Economics and Finance, Springer;Associazione per la Matematica, vol. 44(1), pages 295-339, June.
    2. Marco Corazza & Giovanni Fasano & Stefania Funari & Riccardo Gusso, 2017. "PSO-based tuning of MURAME parameters for creditworthiness evaluation of Italian SMEs," Working Papers 04, Department of Management, Università Ca' Foscari Venezia.

  3. Paola Pellegrini & Lorenzo Castelli & Raffaele Pesenti, 2011. "Metaheuristic algorithms for the simultaneous slot allocation problem," Working Papers 9, Department of Management, Università Ca' Foscari Venezia.

    Cited by:

    1. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.

  4. Lorenzo Castelli & Paola Pellegrini & Raffaele Pesenti, 2010. "Airport slot allocation in Europe: economic efficiency and fairness," Working Papers 197, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Alessandro Avenali & Tiziana D'Alfonso & Claudio Leporelli & Giorgio Matteucci & Alberto Nastasi & Pierfrancesco Reverberi, 2014. "A supervised market mechanism for efficient airport slot allocation," DIAG Technical Reports 2014-03, Department of Computer, Control and Management Engineering, Universita' degli Studi di Roma "La Sapienza".
    3. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.
    4. Jamie Fairbrother & Konstantinos G. Zografos & Kevin D. Glazebrook, 2020. "A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences," Transportation Science, INFORMS, vol. 54(1), pages 115-138, January.
    5. Dixit, Aasheesh Kumar & Shakya, Garima & Jakhar, Suresh Kumar & Nath, Swaprava, 2023. "Algorithmic mechanism design for egalitarian and congestion-aware airport slot allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    6. Adler, Nicole & Yazhemsky, Ekaterina, 2018. "The value of a marginal change in capacity at congested airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 154-167.
    7. Ye, Qing Chuan & Zhang, Yingqian & Dekker, Rommert, 2017. "Fair task allocation in transportation," Omega, Elsevier, vol. 68(C), pages 1-16.
    8. Lambelho, Miguel & Mitici, Mihaela & Pickup, Simon & Marsden, Alan, 2020. "Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions," Journal of Air Transport Management, Elsevier, vol. 82(C).
    9. Konstantinos G. Zografos & Michael A. Madas & Konstantinos N. Androutsopoulos, 2017. "Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs," Journal of Scheduling, Springer, vol. 20(1), pages 3-24, February.
    10. Paola Pellegrini & Lorenzo Castelli & Raffaele Pesenti, 2011. "Metaheuristic algorithms for the simultaneous slot allocation problem," Working Papers 9, Department of Management, Università Ca' Foscari Venezia.
    11. Ivanov, Nikola & Netjasov, Fedja & Jovanović, Radosav & Starita, Stefano & Strauss, Arne, 2017. "Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 183-197.
    12. Zografos, Konstantinos G. & Androutsopoulos, Konstantinos N. & Madas, Michael A., 2018. "Minding the gap: Optimizing airport schedule displacement and acceptability," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 203-221.
    13. Sheng, Dian & Li, Zhi-Chun & Xiao, Yi-bin & Fu, Xiaowen, 2015. "Slot auction in an airport network with demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 79-100.
    14. Jorge, Diana & Antunes Ribeiro, Nuno & Pais Antunes, António, 2021. "Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil)," Journal of Air Transport Management, Elsevier, vol. 93(C).
    15. Pellegrini, Paola & Bolić, Tatjana & Castelli, Lorenzo & Pesenti, Raffaele, 2017. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 34-53.
    16. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen, 2019. "Modeling the effects of airline slot hoarding behavior under the grandfather rights with use-it-or-lose-it rule," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 48-61.
    17. Nuno Antunes Ribeiro & Alexandre Jacquillat & António Pais Antunes, 2019. "A Large-Scale Neighborhood Search Approach to Airport Slot Allocation," Transportation Science, INFORMS, vol. 53(6), pages 1772-1797, November.
    18. Ribeiro, Nuno Antunes & Jacquillat, Alexandre & Antunes, António Pais & Odoni, Amedeo R. & Pita, João P., 2018. "An optimization approach for airport slot allocation under IATA guidelines," Transportation Research Part B: Methodological, Elsevier, vol. 112(C), pages 132-156.
    19. Androutsopoulos, Konstantinos N. & Manousakis, Eleftherios G. & Madas, Michael A., 2020. "Modeling and solving a bi-objective airport slot scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 135-151.
    20. Androutsopoulos, Konstantinos N. & Madas, Michael A., 2019. "Being fair or efficient? A fairness-driven modeling extension to the strategic airport slot scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 37-60.
    21. Avenali, Alessandro & D'Alfonso, Tiziana & Leporelli, Claudio & Matteucci, Giorgio & Nastasi, Alberto & Reverberi, Pierfrancesco, 2015. "An incentive pricing mechanism for efficient airport slot allocation in Europe," Journal of Air Transport Management, Elsevier, vol. 42(C), pages 27-36.
    22. Pellegrini, Paola & Castelli, Lorenzo & Pesenti, Raffaele, 2012. "Secondary trading of airport slots as a combinatorial exchange," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1009-1022.
    23. Miranda, Victor A.P. & Oliveira, Alessandro V.M., 2018. "Airport slots and the internalization of congestion by airlines: An empirical model of integrated flight disruption management in Brazil," Transportation Research Part A: Policy and Practice, Elsevier, vol. 116(C), pages 201-219.

  5. Lorenzo Castelli & Raffaele Pesenti & Andrea Ranieri, 2009. "Allocating Air Traffic Flow Management Slots," Working Papers 191, Department of Applied Mathematics, Università Ca' Foscari Venezia.

    Cited by:

    1. Jovanović, Radosav & Tošić, Vojin & Čangalović, Mirjana & Stanojević, Milan, 2014. "Anticipatory modulation of air navigation charges to balance the use of airspace network capacities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 61(C), pages 84-99.
    2. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.
    3. Fukui, Hideki, 2019. "How do slot restrictions affect airfares? New evidence from the US airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 51-71.
    4. Kim, Amy & Hansen, Mark, 2015. "Some insights into a sequential resource allocation mechanism for en route air traffic management," Transportation Research Part B: Methodological, Elsevier, vol. 79(C), pages 1-15.
    5. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.

Articles

  1. Giovanni Fasano & Raffaele Pesenti, 2017. "Conjugate Direction Methods and Polarity for Quadratic Hypersurfaces," Journal of Optimization Theory and Applications, Springer, vol. 175(3), pages 764-794, December.

    Cited by:

    1. Renato Leone & Giovanni Fasano & Massimo Roma & Yaroslav D. Sergeyev, 2020. "Iterative Grossone-Based Computation of Negative Curvature Directions in Large-Scale Optimization," Journal of Optimization Theory and Applications, Springer, vol. 186(2), pages 554-589, August.
    2. Renato De Leone & Giovanni Fasano & Yaroslav D. Sergeyev, 2018. "Planar methods and grossone for the Conjugate Gradient breakdown in nonlinear programming," Computational Optimization and Applications, Springer, vol. 71(1), pages 73-93, September.

  2. Pellegrini, Paola & Bolić, Tatjana & Castelli, Lorenzo & Pesenti, Raffaele, 2017. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 34-53.

    Cited by:

    1. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Katsigiannis, Fotios A. & Zografos, Konstantinos G., 2021. "Optimising airport slot allocation considering flight-scheduling flexibility and total airport capacity constraints," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 50-87.
    3. Donghai Wang & Qiuhong Zhao, 2020. "A Simultaneous Optimization Model for Airport Network Slot Allocation under Uncertain Capacity," Sustainability, MDPI, vol. 12(14), pages 1-14, July.
    4. Dixit, Aasheesh Kumar & Shakya, Garima & Jakhar, Suresh Kumar & Nath, Swaprava, 2023. "Algorithmic mechanism design for egalitarian and congestion-aware airport slot allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    5. Lambelho, Miguel & Mitici, Mihaela & Pickup, Simon & Marsden, Alan, 2020. "Assessing strategic flight schedules at an airport using machine learning-based flight delay and cancellation predictions," Journal of Air Transport Management, Elsevier, vol. 82(C).
    6. Silvia Zaoli & Giovanni Scaini & Lorenzo Castelli, 2021. "Community Detection for Air Traffic Networks and Its Application in Strategic Flight Planning," Sustainability, MDPI, vol. 13(16), pages 1-16, August.
    7. Dalmau, Ramon & Gawinowski, Gilles & Anoraud, Camille, 2022. "Comparison of various temporal air traffic flow management models in critical scenarios," Journal of Air Transport Management, Elsevier, vol. 105(C).
    8. Valdes, Victor & Gillen, David, 2018. "The consumer welfare effects of slot concentration and reallocation: A study of Mexico City International Airport," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 256-269.
    9. Ryan Lee & Moayad Shammut & Julian Allen & Xing Gao & Tianren Yang & Mengqiu Cao, 2021. "Investigating the Implications of the London Heathrow Airport Expansion for the Landside Freight Industry," Logistics, MDPI, vol. 5(3), pages 1-18, July.
    10. Jorge, Diana & Antunes Ribeiro, Nuno & Pais Antunes, António, 2021. "Towards a decision-support tool for airport slot allocation: Application to Guarulhos (Sao Paulo, Brazil)," Journal of Air Transport Management, Elsevier, vol. 93(C).
    11. Sheng, Dian & Li, Zhi-Chun & Fu, Xiaowen, 2019. "Modeling the effects of airline slot hoarding behavior under the grandfather rights with use-it-or-lose-it rule," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 48-61.
    12. Nuno Antunes Ribeiro & Alexandre Jacquillat & António Pais Antunes, 2019. "A Large-Scale Neighborhood Search Approach to Airport Slot Allocation," Transportation Science, INFORMS, vol. 53(6), pages 1772-1797, November.
    13. Aravena, Olivia & Basso, Leonardo J. & Figueroa, Nicolás, 2019. "Effects of asymmetric information on airport congestion management mechanisms," International Journal of Industrial Organization, Elsevier, vol. 62(C), pages 4-27.
    14. Wang, Tingsong & Xing, Zheng & Hu, Hongtao & Qu, Xiaobo, 2019. "Overbooking and delivery-delay-allowed strategies for container slot allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 122(C), pages 433-447.
    15. Li, Max Z. & Ryerson, Megan S., 2019. "Reviewing the DATAS of aviation research data: Diversity, availability, tractability, applicability, and sources," Journal of Air Transport Management, Elsevier, vol. 75(C), pages 111-130.
    16. Androutsopoulos, Konstantinos N. & Manousakis, Eleftherios G. & Madas, Michael A., 2020. "Modeling and solving a bi-objective airport slot scheduling problem," European Journal of Operational Research, Elsevier, vol. 284(1), pages 135-151.
    17. Androutsopoulos, Konstantinos N. & Madas, Michael A., 2019. "Being fair or efficient? A fairness-driven modeling extension to the strategic airport slot scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 37-60.
    18. Ziming Wang & Chaohao Liao & Xu Hang & Lishuai Li & Daniel Delahaye & Mark Hansen, 2022. "Distribution Prediction of Strategic Flight Delays via Machine Learning Methods," Sustainability, MDPI, vol. 14(22), pages 1-14, November.
    19. Ribeiro, Nuno Antunes & Jacquillat, Alexandre & Antunes, António Pais & Odoni, Amedeo, 2019. "Improving slot allocation at Level 3 airports," Transportation Research Part A: Policy and Practice, Elsevier, vol. 127(C), pages 32-54.
    20. Pouget, Lilian & Ribeiro, Nuno Antunes & Odoni, Amedeo R. & Antunes, António Pais, 2023. "How do airlines react to slot displacements? Evidence from a major airport," Journal of Air Transport Management, Elsevier, vol. 106(C).

  3. Elio Canestrelli & Marco Corazza & Giuseppe Nadai & Raffaele Pesenti, 2017. "Managing the Ship Movements in the Port of Venice," Networks and Spatial Economics, Springer, vol. 17(3), pages 861-887, September.

    Cited by:

    1. Rodrigo Mesa-Arango & Badri Narayanan & Satish V. Ukkusuri, 2019. "The Impact of International Crises on Maritime Transportation Based Global Value Chains," Networks and Spatial Economics, Springer, vol. 19(2), pages 381-408, June.
    2. Xiaoqian Sun & Sebastian Wandelt & Mark Hansen, 2020. "Airport Road Access at Planet Scale using Population Grid and Openstreetmap," Networks and Spatial Economics, Springer, vol. 20(1), pages 273-299, March.
    3. Shangyao Yan & Chung-Cheng Lu & Jun-Hsiao Hsieh & Han-Chun Lin, 2019. "A Dynamic and Flexible Berth Allocation Model with Stochastic Vessel Arrival Times," Networks and Spatial Economics, Springer, vol. 19(3), pages 903-927, September.
    4. T. Edward Yu & Bijay P. Sharma & Burton C. English, 2019. "Investigating Lock Delay on the Upper Mississippi River: a Spatial Panel Analysis," Networks and Spatial Economics, Springer, vol. 19(1), pages 275-291, March.

  4. Dario Bauso & Raffaele Pesenti & Marco Tolotti, 2016. "Opinion Dynamics and Stubbornness Via Multi-Population Mean-Field Games," Journal of Optimization Theory and Applications, Springer, vol. 170(1), pages 266-293, July.

    Cited by:

    1. Paolo Dai Pra & Elena Sartori & Marco Tolotti, 2023. "Polarization and Coherence in Mean Field Games Driven by Private and Social Utility," Journal of Optimization Theory and Applications, Springer, vol. 198(1), pages 49-85, July.
    2. Li, Tingyu & Zhu, Hengmin, 2020. "Effect of the media on the opinion dynamics in online social networks," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 551(C).
    3. Paolo Dai Pra & Elena Sartori & Marco Tolotti, 2019. "Climb on the Bandwagon: Consensus and Periodicity in a Lifetime Utility Model with Strategic Interactions," Dynamic Games and Applications, Springer, vol. 9(4), pages 1061-1075, December.

  5. Catanzaro, Daniele & Aringhieri, Roberto & Di Summa, Marco & Pesenti, Raffaele, 2015. "A branch-price-and-cut algorithm for the minimum evolution problem," European Journal of Operational Research, Elsevier, vol. 244(3), pages 753-765.
    See citations under working paper version above.
  6. Joseph Andria & Giacomo Tollo & Raffaele Pesenti, 2015. "Detection of local tourism systems by threshold accepting," Computational Management Science, Springer, vol. 12(4), pages 559-575, October.

    Cited by:

    1. Joseph Andria & Giacomo di Tollo & Raffaele Pesenti, 2021. "Fuzzy multi-criteria decision-making: An entropy-based approach to assess tourism sustainability," Tourism Economics, , vol. 27(1), pages 168-186, February.

  7. Pellegrini, Paola & Castelli, Lorenzo & Pesenti, Raffaele, 2012. "Secondary trading of airport slots as a combinatorial exchange," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(5), pages 1009-1022.

    Cited by:

    1. Cavusoglu, Sabriye Sera & Macário, Rosário, 2021. "Minimum delay or maximum efficiency? Rising productivity of available capacity at airports: Review of current practice and future needs," Journal of Air Transport Management, Elsevier, vol. 90(C).
    2. Alexandre Jacquillat & Amedeo R. Odoni, 2015. "An Integrated Scheduling and Operations Approach to Airport Congestion Mitigation," Operations Research, INFORMS, vol. 63(6), pages 1390-1410, December.
    3. Pellegrini, Paola & Rodriguez, Joaquin, 2013. "Single European Sky and Single European Railway Area: A system level analysis of air and rail transportation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 57(C), pages 64-86.
    4. Jamie Fairbrother & Konstantinos G. Zografos & Kevin D. Glazebrook, 2020. "A Slot-Scheduling Mechanism at Congested Airports that Incorporates Efficiency, Fairness, and Airline Preferences," Transportation Science, INFORMS, vol. 54(1), pages 115-138, January.
    5. Konstantinos G. Zografos & Michael A. Madas & Konstantinos N. Androutsopoulos, 2017. "Increasing airport capacity utilisation through optimum slot scheduling: review of current developments and identification of future needs," Journal of Scheduling, Springer, vol. 20(1), pages 3-24, February.
    6. Paola Pellegrini & Lorenzo Castelli & Raffaele Pesenti, 2011. "Metaheuristic algorithms for the simultaneous slot allocation problem," Working Papers 9, Department of Management, Università Ca' Foscari Venezia.
    7. Jacquillat, Alexandre & Odoni, Amedeo R., 2018. "A roadmap toward airport demand and capacity management," Transportation Research Part A: Policy and Practice, Elsevier, vol. 114(PA), pages 168-185.
    8. Chen, Haoxun, 2016. "Combinatorial clock-proxy exchange for carrier collaboration in less than truck load transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 91(C), pages 152-172.
    9. Fukui, Hideki, 2019. "How do slot restrictions affect airfares? New evidence from the US airline industry," Economics of Transportation, Elsevier, vol. 17(C), pages 51-71.
    10. Ivanov, Nikola & Netjasov, Fedja & Jovanović, Radosav & Starita, Stefano & Strauss, Arne, 2017. "Air Traffic Flow Management slot allocation to minimize propagated delay and improve airport slot adherence," Transportation Research Part A: Policy and Practice, Elsevier, vol. 95(C), pages 183-197.
    11. Liu, Wenjing & Zhao, Qiuhong & Delahaye, Daniel, 2022. "Research on slot allocation for airport network in the presence of uncertainty," Journal of Air Transport Management, Elsevier, vol. 104(C).
    12. Sheng, Dian & Li, Zhi-Chun & Xiao, Yi-bin & Fu, Xiaowen, 2015. "Slot auction in an airport network with demand uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 79-100.
    13. Kangye Tan & Fang Xu & Xiaozhao Fang & Chunsheng Li, 2023. "Research on Location Selection for Urban Networks of Less-than-Truckload Express Enterprises Based on Improved Immune Optimization Algorithm," Mathematics, MDPI, vol. 11(6), pages 1-20, March.
    14. Pellegrini, Paola & Bolić, Tatjana & Castelli, Lorenzo & Pesenti, Raffaele, 2017. "SOSTA: An effective model for the Simultaneous Optimisation of airport SloT Allocation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 99(C), pages 34-53.
    15. Cheng, Meng & Xu, Su Xiu & Huang, George Q., 2016. "Truthful multi-unit multi-attribute double auctions for perishable supply chain trading," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 21-37.
    16. Martin Bichler & Douglas Ferrell & Vladimir Fux & Jacob K. Goeree, 2019. "Designing Environmental Markets for Trading Catch Shares," Interfaces, INFORMS, vol. 49(5), pages 324-337, September.
    17. Androutsopoulos, Konstantinos N. & Madas, Michael A., 2019. "Being fair or efficient? A fairness-driven modeling extension to the strategic airport slot scheduling problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 37-60.
    18. Andreas Knorr & Alexander Eisenkopf, 2022. "Ein Vorschlag zur Reform der Slotvergabe an kapazitätsbeschränkten Verkehrsflughäfen [A Proposal to Reform Slot Allocation at Capacity-Constrained Commercial Airports]," Wirtschaftsdienst, Springer;ZBW - Leibniz Information Centre for Economics, vol. 102(6), pages 470-478, June.

  8. Lorenzo Castelli & Paola Pellegrini & Raffaele Pesenti, 2012. "Airport slot allocation in Europe: economic efficiency and fairness," International Journal of Revenue Management, Inderscience Enterprises Ltd, vol. 6(1/2), pages 28-44.
    See citations under working paper version above.
  9. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.

    Cited by:

    1. Entezam, Hasan Farmani & Sobhani, Farzad Movahedi & Najafi, Seyed Esmaeil & Roshdi, Israfil, 2020. "A multi-component enhanced Russell measure of efficiency: With application to water supply plans," Socio-Economic Planning Sciences, Elsevier, vol. 70(C).
    2. Jolly Puri & Shiv Prasad Yadav & Harish Garg, 2017. "A new multi-component DEA approach using common set of weights methodology and imprecise data: an application to public sector banks in India with undesirable and shared resources," Annals of Operations Research, Springer, vol. 259(1), pages 351-388, December.
    3. Mirdehghan, S. Morteza & Fukuyama, Hirofumi, 2016. "Pareto–Koopmans efficiency and network DEA," Omega, Elsevier, vol. 61(C), pages 78-88.
    4. Hadi Ghafoorian & NikIntan Norhan & Mohammed Ndaliman Abubakar & Fazel Mohammadi Nodeh, 2013. "Efficiency Considering Credit Risk in Banking Industry, Using Two-stage DEA," Journal of Social and Development Sciences, AMH International, vol. 4(8), pages 356-360.
    5. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    6. Mishra, Neelesh Kumar & Chakraborty, Abhishek & Singh, Sanjeet & Ranjan, Prabhat, 2023. "Efficiency analysis of engineering colleges in India: Decomposition into parallel sub-processes systems," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    7. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    8. Cong Liu & Wenlai Jiang & Yang Liu & Yunfei Liu, 2023. "Evaluation for Water and Land Resources System Efficiency and Influencing Factors in China: A Two-Stage Network DEA Model," Land, MDPI, vol. 12(2), pages 1-18, February.
    9. Lee, Jun Gon & Park, Min Jae, 2020. "Evaluation of technological competence and operations efficiency in the defense industry: The strategic planning of South Korea," Evaluation and Program Planning, Elsevier, vol. 79(C).
    10. Q L Wei & T-S Chang, 2011. "Optimal system design series-network DEA models," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(6), pages 1109-1119, June.
    11. Zhou, Xiaoyang & Xu, Zhongwen & Chai, Jian & Yao, Liming & Wang, Shouyang & Lev, Benjamin, 2019. "Efficiency evaluation for banking systems under uncertainty: A multi-period three-stage DEA model," Omega, Elsevier, vol. 85(C), pages 68-82.
    12. Day‐Yang Liu & Hsin‐Hsin Yao & Wen‐Min Lu & Cheng‐Hsien Lin, 2020. "Impulse response function analysis of the impacts of land value‐added tax policy on government performance," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(6), pages 1020-1032, September.
    13. Yongqi Feng & Haolin Zhang & Yung-ho Chiu & Tzu-Han Chang, 2021. "Innovation efficiency and the impact of the institutional quality: a cross-country analysis using the two-stage meta-frontier dynamic network DEA model," Scientometrics, Springer;Akadémiai Kiadó, vol. 126(4), pages 3091-3129, April.
    14. Tatiana Bencova & Andrea Bohacikova, 2022. "DEA in Performance Measurement of Two-Stage Processes: Comparative Overview of the Literature," Economic Studies journal, Bulgarian Academy of Sciences - Economic Research Institute, issue 5, pages 111-129.
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    31. Antonio Peyrache & Maria C. A. Silva, 2022. "Efficiency and Productivity Analysis from a System Perspective: Historical Overview," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 173-230, Springer.
    32. Tsung-Sheng Chang & Kaoru Tone & Quanling Wei, 2014. "Ownership-specified network DEA models," Annals of Operations Research, Springer, vol. 214(1), pages 73-98, March.
    33. Wang, Ya & Pan, Jiao-feng & Pei, Rui-min & Yi, Bo-Wen & Yang, Guo-liang, 2020. "Assessing the technological innovation efficiency of China's high-tech industries with a two-stage network DEA approach," Socio-Economic Planning Sciences, Elsevier, vol. 71(C).
    34. Xiyang Lei & Yongjun Li & Qiwei Xie & Liang Liang, 2015. "Measuring Olympics achievements based on a parallel DEA approach," Annals of Operations Research, Springer, vol. 226(1), pages 379-396, March.
    35. Jorge Antunes & Peter Wanke & Thiago Fonseca & Yong Tan, 2023. "Do ESG Risk Scores Influence Financial Distress? Evidence from a Dynamic NDEA Approach," Sustainability, MDPI, vol. 15(9), pages 1-32, May.
    36. Pinto, Claudio, 2019. "Model and measure the relative efficiency of a four-stage production process. An NDEA multiplier relational model under different systems of resource distribution preferences between sub-processes," MPRA Paper 92617, University Library of Munich, Germany.
    37. Mohammad Khoveyni & Robabeh Eslami, 2022. "Merging two-stage series network structures: A DEA-based approach," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 44(1), pages 273-302, March.
    38. Sotiros, Dimitris & Koronakos, Gregory & Despotis, Dimitris K., 2019. "Dominance at the divisional efficiencies level in network DEA: The case of two-stage processes," Omega, Elsevier, vol. 85(C), pages 144-155.
    39. Fukuyama, Hirofumi & Mirdehghan, S.M., 2012. "Identifying the efficiency status in network DEA," European Journal of Operational Research, Elsevier, vol. 220(1), pages 85-92.
    40. Javier Vidal-García & Marta Vidal & Sabri Boubaker & Majdi Hassan, 2018. "The efficiency of mutual funds," Annals of Operations Research, Springer, vol. 267(1), pages 555-584, August.
    41. Kao, Chiang, 2014. "Efficiency decomposition in network data envelopment analysis with slacks-based measures," Omega, Elsevier, vol. 45(C), pages 1-6.
    42. Koronakos, Gregory & Sotiros, Dimitris & Despotis, Dimitris K., 2019. "Reformulation of Network Data Envelopment Analysis models using a common modelling framework," European Journal of Operational Research, Elsevier, vol. 278(2), pages 472-480.
    43. Po-Chi Chen, 2012. "Measurement of technical efficiency in farrow-to-finish swine production using multi-activity network data envelopment analysis: evidence from Taiwan," Journal of Productivity Analysis, Springer, vol. 38(3), pages 319-331, December.
    44. Chih-Ching Yang, 2014. "An enhanced DEA model for decomposition of technical efficiency in banking," Annals of Operations Research, Springer, vol. 214(1), pages 167-185, March.
    45. Despotis, Dimitris K. & Sotiros, Dimitris & Koronakos, Gregory, 2016. "A network DEA approach for series multi-stage processes," Omega, Elsevier, vol. 61(C), pages 35-48.
    46. Kao, Chiang & Liu, Shiang-Tai, 2019. "Cross efficiency measurement and decomposition in two basic network systems," Omega, Elsevier, vol. 83(C), pages 70-79.
    47. Manuel Espitia‐Escuer & Lucia Isabel Garcia‐Cebrian, 2020. "Efficiency of football teams from an organisation management perspective," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(3), pages 321-338, April.
    48. Huang, Shwu-Huei & Yu, Ming-Miin & Huang, Ya-Ling, 2022. "Evaluation of the efficiency of the local tax administration in Taiwan: Application of a dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 83(C).
    49. Akther, Syed & Fukuyama, Hirofumi & Weber, William L., 2013. "Estimating two-stage network Slacks-based inefficiency: An application to Bangladesh banking," Omega, Elsevier, vol. 41(1), pages 88-96.
    50. Mei Ho & John Liu & Wen-Min Lu & Chien-Cheng Huang, 2014. "A new perspective to explore the technology transfer efficiencies in US universities," The Journal of Technology Transfer, Springer, vol. 39(2), pages 247-275, April.
    51. Barnum, Darold T. & Karlaftis, Matthew G. & Tandon, Sonali, 2011. "Improving the efficiency of metropolitan area transit by joint analysis of its multiple providers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 1160-1176.
    52. Hamid Kiaei & Reza Kazemi Matin, 2022. "New common set of weights method in black-box and two-stage data envelopment analysis," Annals of Operations Research, Springer, vol. 309(1), pages 143-162, February.
    53. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    54. Antonio Peyrache & Maria C. A. Silva, 2019. "The Inefficiency of Production Systems and its decomposition," CEPA Working Papers Series WP052019, School of Economics, University of Queensland, Australia.
    55. Junhee Bae & Yanghon Chung & Hyesoo Ko, 2021. "Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments," 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. 108(2), pages 2249-2264, September.
    56. Bart Roets & Marijn Verschelde & Johan Christiaens, 2018. "Multi-output efficiency and operational safety: An analysis of railway traffic control centre performance," Post-Print hal-01914849, HAL.
    57. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    58. Lozano, Sebastián & Villa, Gabriel, 2016. "Data Envelopment Analysis of systems with multiple modes of functioning," MPRA Paper 76076, University Library of Munich, Germany.
    59. Antonio Peyrache & Maria C. A. Silva, 2023. "Efficiency decomposition for multi-level multi-components production technologies," Journal of Productivity Analysis, Springer, vol. 60(3), pages 273-294, December.
    60. Feng Yang & Lijing Jiang & Sheng Ang, 2019. "A winner-take-all evaluation in data envelopment analysis," Annals of Operations Research, Springer, vol. 278(1), pages 141-158, July.
    61. Rita Shakouri & Maziar Salahi & Sohrab Kordrostami & Jie Wu, 2019. "Flexible measure in the presence of the partial input to output impacts process," Operations Research and Decisions, Wroclaw University of Science and Technology, Faculty of Management, vol. 29(3), pages 77-98.
    62. Laura Calzada-Infante & Sebastián Lozano, 2022. "Computing multiperiod efficiency using dominance networks," Annals of Operations Research, Springer, vol. 309(1), pages 37-57, February.
    63. Qingxian An & Fanyong Meng & Beibei Xiong & Zongrun Wang & Xiaohong Chen, 2020. "Assessing the relative efficiency of Chinese high-tech industries: a dynamic network data envelopment analysis approach," Annals of Operations Research, Springer, vol. 290(1), pages 707-729, July.
    64. Alcaide-López-de-Pablo, David & Dios-Palomares, Rafaela & Prieto, Ángel M., 2014. "A new multicriteria approach for the analysis of efficiency in the Spanish olive oil sector by modelling decision maker preferences," European Journal of Operational Research, Elsevier, vol. 234(1), pages 241-252.
    65. Magdalena Cyrek & Barbara Fura, 2019. "Employment for Sustainable Development: Sectoral Efficiencies in EU Countries," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 143(1), pages 277-318, May.
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    69. Jie Wu & Beibei Xiong & Qingxian An & Jiasen Sun & Huaqing Wu, 2017. "Total-factor energy efficiency evaluation of Chinese industry by using two-stage DEA model with shared inputs," Annals of Operations Research, Springer, vol. 255(1), pages 257-276, August.
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    72. An, Qingxian & Wen, Yao & Ding, Tao & Li, Yongli, 2019. "Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method," Omega, Elsevier, vol. 85(C), pages 16-25.
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    75. Claudio Pinto, 2021. "Measure the Relative Efficiency of a Four-Stage Production Process with NDEA," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(10), pages 1-35, July.
    76. Huangxin Chen & Hang Lin & Wenjie Zou, 2020. "Research on the Regional Differences and Influencing Factors of the Innovation Efficiency of China’s High-Tech Industries: Based on a Shared Inputs Two-Stage Network DEA," Sustainability, MDPI, vol. 12(8), pages 1-15, April.
    77. Minh‐Anh Thi Nguyen & Ming‐Miin Yu, 2020. "Decomposing the operational efficiency of major cruise lines: A network data envelopment analysis approach in the presence of shared input and quasi‐fixed input," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 41(8), pages 1501-1516, December.

  10. Bauso, Dario & Giarré, Laura & Pesenti, Raffaele, 2009. "Distributed consensus in noncooperative inventory games," European Journal of Operational Research, Elsevier, vol. 192(3), pages 866-878, February.

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    1. Meunier, Frédéric & Pradeau, Thomas, 2014. "The uniqueness property for networks with several origin–destination pairs," European Journal of Operational Research, Elsevier, vol. 237(1), pages 245-256.
    2. Stefanny Ramirez & Dario Bauso, 2021. "Dynamic Coordination Games with Activation Costs," Dynamic Games and Applications, Springer, vol. 11(3), pages 580-596, September.
    3. Stefanny Ramirez & Dario Bauso, 2023. "Dynamic Games with Strategic Complements and Large Number of Players," Journal of Optimization Theory and Applications, Springer, vol. 197(1), pages 1-21, April.

  11. Coslovich, Luca & Pesenti, Raffaele & Ukovich, Walter, 2006. "Minimizing fleet operating costs for a container transportation company," European Journal of Operational Research, Elsevier, vol. 171(3), pages 776-786, June.

    Cited by:

    1. Xue, Zhaojie & Zhang, Canrong & Lin, Wei-Hua & Miao, Lixin & Yang, Peng, 2014. "A tabu search heuristic for the local container drayage problem under a new operation mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 62(C), pages 136-150.
    2. Goh, Shao Hung & Chan, Yuxian, 2016. "Operational shadow pricing in back haul container shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 92(C), pages 3-15.
    3. Xue, Ning & Bai, Ruibin & Qu, Rong & Aickelin, Uwe, 2021. "A hybrid pricing and cutting approach for the multi-shift full truckload vehicle routing problem," European Journal of Operational Research, Elsevier, vol. 292(2), pages 500-514.
    4. Hajem A. Daham & Xinan Yang & Michaela K. Warnes, 2017. "An efficient mixed integer programming model for pairing containers in inland transportation based on the assignment of orders," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(6), pages 678-694, June.
    5. 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.
    6. Zhang, Ruiyou & Yun, Won Young & Moon, Il Kyeong, 2011. "Modeling and optimization of a container drayage problem with resource constraints," International Journal of Production Economics, Elsevier, vol. 133(1), pages 351-359, September.
    7. Kritikos, Manolis N. & Ioannou, George, 2010. "The balanced cargo vehicle routing problem with time windows," International Journal of Production Economics, Elsevier, vol. 123(1), pages 42-51, January.
    8. Escudero-Santana, Alejandro & Muñuzuri, Jesús & Cortés, Pablo & Onieva, Luis, 2021. "The one container drayage problem with soft time windows," Research in Transportation Economics, Elsevier, vol. 90(C).
    9. García, Javier & Florez, José E. & Torralba, Álvaro & Borrajo, Daniel & López, Carlos Linares & García-Olaya, Ángel & Sáenz, Juan, 2013. "Combining linear programming and automated planning to solve intermodal transportation problems," European Journal of Operational Research, Elsevier, vol. 227(1), pages 216-226.
    10. You, Jintao & Miao, Lixin & Zhang, Canrong & Xue, Zhaojie, 2020. "A generic model for the local container drayage problem using the emerging truck platooning operation mode," Transportation Research Part B: Methodological, Elsevier, vol. 133(C), pages 181-209.
    11. Zhang, Ruiyou & Lu, Jye-Chyi & Wang, Dingwei, 2014. "Container drayage problem with flexible orders and its near real-time solution strategies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 61(C), pages 235-251.
    12. Monnerat, Filipe & Dias, Joana & Alves, Maria João, 2019. "Fleet management: A vehicle and driver assignment model," European Journal of Operational Research, Elsevier, vol. 278(1), pages 64-75.
    13. Najafi, Mehdi & Zolfagharinia, Hossein, 2021. "Pricing and quality setting strategy in maritime transportation: Considering empty repositioning and demand uncertainty," International Journal of Production Economics, Elsevier, vol. 240(C).
    14. You, Jintao & Wang, Yuan & Xue, Zhaojie, 2023. "An exact algorithm for the multi-trip container drayage problem with truck platooning," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    15. Xinan Yang & Hajem A. Daham, 2020. "A column generation-based decomposition and aggregation approach for combining orders in inland transportation of containers," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(1), pages 261-296, March.
    16. Li, Ming & Shao, Saijun & Li, Yang & Zhang, Hua & Zhang, Nianwu & He, Yandong, 2022. "A Physical Internet (PI) based inland container transportation problem with selective non-containerized shipping requests," International Journal of Production Economics, Elsevier, vol. 245(C).
    17. Nossack, Jenny & Pesch, Erwin, 2013. "A truck scheduling problem arising in intermodal container transportation," European Journal of Operational Research, Elsevier, vol. 230(3), pages 666-680.
    18. Xue, Zhaojie & Lin, Hui & You, Jintao, 2021. "Local container drayage problem with truck platooning mode," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).

  12. Coslovich, Luca & Pesenti, Raffaele & Ukovich, Walter, 2006. "A two-phase insertion technique of unexpected customers for a dynamic dial-a-ride problem," European Journal of Operational Research, Elsevier, vol. 175(3), pages 1605-1615, December.

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    1. Mohammad Torkjazi & Nathan Huynh, 2019. "Effectiveness of Dynamic Insertion Scheduling Strategy for Demand-Responsive Paratransit Vehicles Using Agent-Based Simulation," Sustainability, MDPI, vol. 11(19), pages 1-12, September.
    2. Häme, Lauri, 2011. "An adaptive insertion algorithm for the single-vehicle dial-a-ride problem with narrow time windows," European Journal of Operational Research, Elsevier, vol. 209(1), pages 11-22, February.
    3. Hua, Shijia & Zeng, Wenjia & Liu, Xinglu & Qi, Mingyao, 2022. "Optimality-guaranteed algorithms on the dynamic shared-taxi problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    4. Aslaksen, Ingvild Eide & Svanberg, Elisabeth & Fagerholt, Kjetil & Johnsen, Lennart C. & Meisel, Frank, 2021. "A combined dial-a-ride and fixed schedule ferry service for coastal cities," Transportation Research Part A: Policy and Practice, Elsevier, vol. 153(C), pages 306-325.
    5. Shangyao Yan & Chun-Ying Chen & Chuan-Che Wu, 2012. "Solution methods for the taxi pooling problem," Transportation, Springer, vol. 39(3), pages 723-748, May.
    6. Zhang, Jian & Woensel, Tom Van, 2023. "Dynamic vehicle routing with random requests: A literature review," International Journal of Production Economics, Elsevier, vol. 256(C).
    7. Dessouky, Maged M & Hu, Shichun, 2021. "Dynamic Routing for Ride-Sharing," Institute of Transportation Studies, Working Paper Series qt6qq8r7hz, Institute of Transportation Studies, UC Davis.
    8. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
    9. Thomas Hanne & Teresa Melo & Stefan Nickel, 2009. "Bringing Robustness to Patient Flow Management Through Optimized Patient Transports in Hospitals," Interfaces, INFORMS, vol. 39(3), pages 241-255, June.
    10. Stefan Vonolfen & Michael Affenzeller, 2016. "Distribution of waiting time for dynamic pickup and delivery problems," Annals of Operations Research, Springer, vol. 236(2), pages 359-382, January.
    11. Kergosien, Y. & Lenté, Ch. & Piton, D. & Billaut, J.-C., 2011. "A tabu search heuristic for the dynamic transportation of patients between care units," European Journal of Operational Research, Elsevier, vol. 214(2), pages 442-452, October.
    12. Lian, Ying & Lucas, Flavien & Sörensen, Kenneth, 2024. "Prepositioning can improve the performance of a dynamic stochastic on-demand public bus system," European Journal of Operational Research, Elsevier, vol. 312(1), pages 338-356.
    13. Sepide Lotfi & Khaled Abdelghany, 2022. "Ride matching and vehicle routing for on-demand mobility services," Journal of Heuristics, Springer, vol. 28(3), pages 235-258, June.
    14. Jean-François Cordeau & Gilbert Laporte, 2007. "The dial-a-ride problem: models and algorithms," Annals of Operations Research, Springer, vol. 153(1), pages 29-46, September.
    15. Stefan Vonolfen & Michael Affenzeller, 2016. "Distribution of waiting time for dynamic pickup and delivery problems," Annals of Operations Research, Springer, vol. 236(2), pages 359-382, January.
    16. Tafreshian, Amirmahdi & Abdolmaleki, Mojtaba & Masoud, Neda & Wang, Huizhu, 2021. "Proactive shuttle dispatching in large-scale dynamic dial-a-ride systems," Transportation Research Part B: Methodological, Elsevier, vol. 150(C), pages 227-259.
    17. Bongiovanni, Claudia & Kaspi, Mor & Cordeau, Jean-François & Geroliminis, Nikolas, 2022. "A machine learning-driven two-phase metaheuristic for autonomous ridesharing operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    18. Hosni, Hadi & Naoum-Sawaya, Joe & Artail, Hassan, 2014. "The shared-taxi problem: Formulation and solution methods," Transportation Research Part B: Methodological, Elsevier, vol. 70(C), pages 303-318.
    19. Shangyao Yan & Chun-Ying Chen, 2011. "An optimization model and a solution algorithm for the many-to-many car pooling problem," Annals of Operations Research, Springer, vol. 191(1), pages 37-71, November.
    20. Liu, Mengyang & Luo, Zhixing & Lim, Andrew, 2015. "A branch-and-cut algorithm for a realistic dial-a-ride problem," Transportation Research Part B: Methodological, Elsevier, vol. 81(P1), pages 267-288.
    21. Farzaneh Karami & Wim Vancroonenburg & Greet Vanden Berghe, 2020. "A periodic optimization approach to dynamic pickup and delivery problems with time windows," Journal of Scheduling, Springer, vol. 23(6), pages 711-731, December.
    22. Garaix, Thierry & Artigues, Christian & Feillet, Dominique & Josselin, Didier, 2010. "Vehicle routing problems with alternative paths: An application to on-demand transportation," European Journal of Operational Research, Elsevier, vol. 204(1), pages 62-75, July.
    23. Yves Molenbruch & Kris Braekers & An Caris, 2017. "Typology and literature review for dial-a-ride problems," Annals of Operations Research, Springer, vol. 259(1), pages 295-325, December.
    24. Zhan, Xingbin & Szeto, W.Y. & Shui, C.S. & Chen, Xiqun (Michael), 2021. "A modified artificial bee colony algorithm for the dynamic ride-hailing sharing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 150(C).
    25. Molenbruch, Yves & Braekers, Kris & Hirsch, Patrick & Oberscheider, Marco, 2021. "Analyzing the benefits of an integrated mobility system using a matheuristic routing algorithm," European Journal of Operational Research, Elsevier, vol. 290(1), pages 81-98.
    26. Ma, Jiaxin & Chen, Xumei & Xing, Ziwen & Zhang, Yixin & Yu, Lei, 2023. "Improving the performance of airport shuttle through demand-responsive service with dynamic fare strategy considering mixed demand," Journal of Air Transport Management, Elsevier, vol. 112(C).
    27. Mahmoudi, Monirehalsadat & Chen, Junhua & Shi, Tie & Zhang, Yongxiang & Zhou, Xuesong, 2019. "A cumulative service state representation for the pickup and delivery problem with transfers," Transportation Research Part B: Methodological, Elsevier, vol. 129(C), pages 351-380.
    28. van Lon, Rinde R.S. & Ferrante, Eliseo & Turgut, Ali E. & Wenseleers, Tom & Vanden Berghe, Greet & Holvoet, Tom, 2016. "Measures of dynamism and urgency in logistics," European Journal of Operational Research, Elsevier, vol. 253(3), pages 614-624.
    29. Sharif Azadeh, Sh. & Atasoy, Bilge & Ben-Akiva, Moshe E. & Bierlaire, M. & Maknoon, M.Y., 2022. "Choice-driven dial-a-ride problem for demand responsive mobility service," Transportation Research Part B: Methodological, Elsevier, vol. 161(C), pages 128-149.
    30. Paquette, Julie & Cordeau, Jean-François & Laporte, Gilbert & Pascoal, Marta M.B., 2013. "Combining multicriteria analysis and tabu search for dial-a-ride problems," Transportation Research Part B: Methodological, Elsevier, vol. 52(C), pages 1-16.

  13. Omero, Marta & D'Ambrosio, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2005. "Multiple-attribute decision support system based on fuzzy logic for performance assessment," European Journal of Operational Research, Elsevier, vol. 160(3), pages 710-725, February.

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    1. Kizilaslan, Recep & Freund, Steven & Iseri, Ali, 2016. "A data analytic approach to forecasting daily stock returns in an emerging marketAuthor-Name: Oztekin, Asil," European Journal of Operational Research, Elsevier, vol. 253(3), pages 697-710.
    2. Nejc Trdin & Marko Bohanec, 2018. "Extending the multi-criteria decision making method DEX with numeric attributes, value distributions and relational models," 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. 26(1), pages 1-41, March.
    3. Kheiri Chari , Mohammad & Aliheidari Bioki , Tahereh & Khademizare , Hasan, 2013. "The New Method for Ranking Grouped Credit Customer Based on DEA Method," Journal of Money and Economy, Monetary and Banking Research Institute, Central Bank of the Islamic Republic of Iran, vol. 8(4), pages 75-98, October.

  14. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2004. "Scheduling multimodal transportation systems," European Journal of Operational Research, Elsevier, vol. 155(3), pages 603-615, June.

    Cited by:

    1. Guihaire, Valérie & Hao, Jin-Kao, 2008. "Transit network design and scheduling: A global review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 42(10), pages 1251-1273, December.
    2. Guo, Xin & Sun, Huijun & Wu, Jianjun & Jin, Jiangang & Zhou, Jin & Gao, Ziyou, 2017. "Multiperiod-based timetable optimization for metro transit networks," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 46-67.
    3. Ioannou, Petros & Giuliano, Genevieve & Dessouky, Maged & Chen, Pengfei & Dexter, Sue, 2020. "Freight Load Balancing and Efficiencies in Alternative Fuel Freight Modes," Institute of Transportation Studies, Working Paper Series qt3ns4b894, Institute of Transportation Studies, UC Davis.
    4. Juan Mesa & Francisco Ortega & Miguel Pozo, 2014. "Locating optimal timetables and vehicle schedules in a transit line," Annals of Operations Research, Springer, vol. 222(1), pages 439-455, November.
    5. Yanan Zhang & Zhaopeng Meng & Yan Zheng & Anca Ralescu, 2019. "Schedule optimization under fuzzy constraints of vehicle capacity," Fuzzy Optimization and Decision Making, Springer, vol. 18(2), pages 131-150, June.
    6. Yuan Liu & Heshan Zhang & Tao Xu & Yaping Chen, 2022. "A Heuristic Algorithm Based on Travel Demand for Transit Network Design," Sustainability, MDPI, vol. 14(17), pages 1-17, September.
    7. Laporte, Gilbert & Ortega, Francisco A. & Pozo, Miguel A. & Puerto, Justo, 2017. "Multi-objective integration of timetables, vehicle schedules and user routings in a transit network," Transportation Research Part B: Methodological, Elsevier, vol. 98(C), pages 94-112.
    8. Ioannou, Petros & Chen, Pengfei, 2023. "Centrally Coordinated Schedules and Routes of Airport Shuttles with LAX Terminals as Application Area," Institute of Transportation Studies, Working Paper Series qt6gg7r6c5, Institute of Transportation Studies, UC Davis.
    9. Ishii, Masahiro & Lee, Paul Tae-Woo & Tezuka, Koichiro & Chang, Young-Tae, 2013. "A game theoretical analysis of port competition," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 92-106.
    10. Daraio, Cinzia & Diana, Marco & Di Costa, Flavia & Leporelli, Claudio & Matteucci, Giorgio & Nastasi, Alberto, 2016. "Efficiency and effectiveness in the urban public transport sector: A critical review with directions for future research," European Journal of Operational Research, Elsevier, vol. 248(1), pages 1-20.
    11. Shenghan Zhou & Houxiang Liu & Bo Wang & Bang Chen & Yuliang Zhou & Wenbing Chang, 2021. "Public Norms in the Operation Scheme of Urban Rail Transit Express Trains: The Case of the Beijing Changping Line," Sustainability, MDPI, vol. 13(13), pages 1-24, June.
    12. Shafahi, Yousef & Khani, Alireza, 2010. "A practical model for transfer optimization in a transit network: Model formulations and solutions," Transportation Research Part A: Policy and Practice, Elsevier, vol. 44(6), pages 377-389, July.
    13. Ibarra-Rojas, O.J. & Delgado, F. & Giesen, R. & Muñoz, J.C., 2015. "Planning, operation, and control of bus transport systems: A literature review," Transportation Research Part B: Methodological, Elsevier, vol. 77(C), pages 38-75.

  15. Lorenzo Castelli & Giovanni Longo & Raffaele Pesenti & Walter Ukovich, 2004. "Two-Player Noncooperative Games over a Freight Transportation Network," Transportation Science, INFORMS, vol. 38(2), pages 149-159, May.

    Cited by:

    1. Baglioni, Laura & Calabrese, Armando & Ghiron, Nathan Levialdi, 2013. "Net neutrality at internet backbone provider level," 24th European Regional ITS Conference, Florence 2013 88506, International Telecommunications Society (ITS).
    2. Baṣak Altan & Okan Örsan Özener, 2021. "A Game Theoretical Approach for Improving the Operational Efficiencies of Less-than-truckload Carriers Through Load Exchanges," Networks and Spatial Economics, Springer, vol. 21(3), pages 547-579, September.
    3. Moreno-Quintero, Eric & Fowkes, Tony & Watling, David, 2013. "Modelling planner–carrier interactions in road freight transport: Optimisation of road maintenance costs via overloading control," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 50(C), pages 68-83.
    4. Marco Migliore & Salvatore Amoroso & Valeria Cardaci & Mario Catalano, 2011. "The role of passenger modal shift nodes in the interaction between land use and transport system," ERSA conference papers ersa10p1606, European Regional Science Association.
    5. Yaron Hollander & Joseph Prashker, 2006. "The applicability of non-cooperative game theory in transport analysis," Transportation, Springer, vol. 33(5), pages 481-496, September.
    6. Patrice Marcotte & Anne Mercier & Gilles Savard & Vedat Verter, 2009. "Toll Policies for Mitigating Hazardous Materials Transport Risk," Transportation Science, INFORMS, vol. 43(2), pages 228-243, May.

  16. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2004. "DEA-like models for the efficiency evaluation of hierarchically structured units," European Journal of Operational Research, Elsevier, vol. 154(2), pages 465-476, April.

    Cited by:

    1. Yande Gong & Joe Zhu & Ya Chen & Wade D. Cook, 2018. "DEA as a tool for auditing: application to Chinese manufacturing industry with parallel network structures," Annals of Operations Research, Springer, vol. 263(1), pages 247-269, April.
    2. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    3. Bai, Xue-Jie & Yan, Wen-Kai & Chiu, Yung-Ho, 2015. "Performance evaluation of China's Hi-tech zones in the post financial crisis era — Analysis based on the dynamic network SBM model," China Economic Review, Elsevier, vol. 34(C), pages 122-134.
    4. Yu-Chuan Chen & Yung-Ho Chiu & Tzu-Han Chang & Tai-Yu Lin, 2023. "Sustainable Development, Government Efficiency, and People’s Happiness," Journal of Happiness Studies, Springer, vol. 24(4), pages 1549-1578, April.
    5. Huang-Chu Huang & Cheng-Feng Hu, 2021. "Performance Measurement for the Recycling Production System Using Cooperative Game Network Data Envelopment Analysis," Sustainability, MDPI, vol. 13(19), pages 1-13, October.
    6. Pinto, Claudio, 2018. "Performances management when modelling internal structure," MPRA Paper 87923, University Library of Munich, Germany.
    7. Chu, Junfei & Zhu, Joe, 2021. "Production scale-based two-stage network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 294(1), pages 283-294.
    8. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    9. Chen, Kuan-Chen & Lin, Sun-Yuan & Yu, Ming-Miin, 2022. "Exploring the efficiency of hospital and pharmacy utilizations in Taiwan: An application of dynamic network data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    10. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
    11. Shahari, Mohd Ridzwan & See, Kok Fong & Mohammed, Noor Syahireen & Yu, Ming-Miin, 2023. "Constructing the performance index of Malaysia’s district health centers using effectiveness-based hierarchical data envelopment analysis," Socio-Economic Planning Sciences, Elsevier, vol. 89(C).
    12. Kao, Chiang, 2019. "Inefficiency identification for closed series production systems," European Journal of Operational Research, Elsevier, vol. 275(2), pages 599-607.
    13. Antonio Peyrache & Maria C. A. Silva, 2022. "Efficiency and Productivity Analysis from a System Perspective: Historical Overview," Springer Books, in: Duangkamon Chotikapanich & Alicia N. Rambaldi & Nicholas Rohde (ed.), Advances in Economic Measurement, chapter 0, pages 173-230, Springer.
    14. Sourour Ramzi, 2019. "Modeling the Education Supply Chain with Network DEA Model: The Case of Tunisia," Journal of Quantitative Economics, Springer;The Indian Econometric Society (TIES), vol. 17(3), pages 525-540, September.
    15. Manuel Meireles & Cida Sanches & Samuel Ferreira & José Osvaldo De Sordi & Givaldo Santos, 2016. "Social Efficiency of For-profit Organizations in Brazil: An Empirical Analysis," Social Indicators Research: An International and Interdisciplinary Journal for Quality-of-Life Measurement, Springer, vol. 128(2), pages 909-928, September.
    16. Kao, Chiang, 2017. "Efficiency measurement and frontier projection identification for general two-stage systems in data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 261(2), pages 679-689.
    17. Bai, Xuejie & Jin, Zeng & Chiu, Yung-Ho, 2021. "Performance evaluation of China's railway passenger transportation sector," Research in Transportation Economics, Elsevier, vol. 90(C).
    18. Weaver, Robert D., 2010. "Supply Chain and Network Performance: Metrics for Profitability, Productivity, and Efficiency," International Journal on Food System Dynamics, International Center for Management, Communication, and Research, vol. 1(1), pages 1-13.
    19. See, Kok Fong & Ng, Ying Chu & Yu, Ming-Miin, 2022. "An alternative assessment approach to national higher education system evaluation," Evaluation and Program Planning, Elsevier, vol. 94(C).
    20. Dariush Akbarian, 2021. "Network DEA based on DEA-ratio," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 7(1), pages 1-26, December.
    21. Bai, Xue-Jie & Li, Zhen-Yang & Zeng, Jin, 2020. "Performance evaluation of China's innovation during the industry-university-research collaboration process—an analysis basis on the dynamic network slacks-based measurement model," Technology in Society, Elsevier, vol. 62(C).
    22. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    23. Kao, Chiang, 2016. "Efficiency decomposition and aggregation in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 255(3), pages 778-786.
    24. Antonio Peyrache & Maria C. A. Silva, 2019. "The Inefficiency of Production Systems and its decomposition," CEPA Working Papers Series WP052019, School of Economics, University of Queensland, Australia.
    25. Chen, Kun & Zhu, Joe, 2017. "Second order cone programming approach to two-stage network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 262(1), pages 231-238.
    26. Zhang, Linyan & Chen, Kun, 2019. "Hierarchical network systems: An application to high-technology industry in China," Omega, Elsevier, vol. 82(C), pages 118-131.
    27. Guo, Chuanyin & Abbasi Shureshjani, Roohollah & Foroughi, Ali Asghar & Zhu, Joe, 2017. "Decomposition weights and overall efficiency in two-stage additive network DEA," European Journal of Operational Research, Elsevier, vol. 257(3), pages 896-906.
    28. Junhee Bae & Yanghon Chung & Hyesoo Ko, 2021. "Analysis of efficiency in public research activities in terms of knowledge spillover: focusing on earthquake R&D accomplishments," 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. 108(2), pages 2249-2264, September.
    29. Zha, Yong & Liang, Liang, 2010. "Two-stage cooperation model with input freely distributed among the stages," European Journal of Operational Research, Elsevier, vol. 205(2), pages 332-338, September.
    30. Kao, Chiang, 2015. "Efficiency measurement for hierarchical network systems," Omega, Elsevier, vol. 51(C), pages 121-127.
    31. Sanjeet Singh & Prabhat Ranjan, 2018. "Efficiency analysis of non-homogeneous parallel sub-unit systems for the performance measurement of higher education," Annals of Operations Research, Springer, vol. 269(1), pages 641-666, October.
    32. Feng Yang & Dexiang Wu & Liang Liang & Gongbing Bi & Desheng Wu, 2011. "Supply chain DEA: production possibility set and performance evaluation model," Annals of Operations Research, Springer, vol. 185(1), pages 195-211, May.
    33. Feng Yang & Lijing Jiang & Sheng Ang, 2019. "A winner-take-all evaluation in data envelopment analysis," Annals of Operations Research, Springer, vol. 278(1), pages 141-158, July.
    34. Josef Jablonský, 2019. "Data Envelopment Analysis Models in Non-Homogeneous Environment," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(6), pages 1535-1540.
    35. Abolghasem Naderi, 2022. "Efficiency measurement of higher education units using multilevel frontier analysis," Journal of Productivity Analysis, Springer, vol. 57(1), pages 79-92, February.
    36. Claudio Pinto, 2021. "Performances Management When Modelling Internal Structure of a Production Process," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(7), pages 133-133, July.
    37. Cook, Wade D. & Liang, Liang & Zhu, Joe, 2010. "Measuring performance of two-stage network structures by DEA: A review and future perspective," Omega, Elsevier, vol. 38(6), pages 423-430, December.
    38. Kremantzis, Marios Dominikos & Beullens, Patrick & Kyrgiakos, Leonidas Sotirios & Klein, Jonathan, 2022. "Measurement and evaluation of multi-function parallel network hierarchical DEA systems," Socio-Economic Planning Sciences, Elsevier, vol. 84(C).
    39. Lee Chi-Ai & Shyu Ming-Kuang & Chiu Yung-Ho, 2017. "Evaluating the Operational Efficiency of Life Insurance Companies in Taiwan¨C An Application of the Dynamic Network SBM Model," Applied Economics and Finance, Redfame publishing, vol. 4(1), pages 18-33, January.
    40. Li, Yongjun & Chen, Yao & Liang, Liang & Xie, Jianhui, 2012. "DEA models for extended two-stage network structures," Omega, Elsevier, vol. 40(5), pages 611-618.
    41. Dariush Akbarian & Ali Akbar Bani & Mohsen Rostamy-Malkhalifeh & Farhad Hosseinzadeh Lotfi, 2022. "An algorithm for the anchor points of the PPS of the BCC model," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-14, December.
    42. Kao, Chiang, 2020. "Decomposition of slacks-based efficiency measures in network data envelopment analysis," European Journal of Operational Research, Elsevier, vol. 283(2), pages 588-600.
    43. An, Qingxian & Wen, Yao & Ding, Tao & Li, Yongli, 2019. "Resource sharing and payoff allocation in a three-stage system: Integrating network DEA with the Shapley value method," Omega, Elsevier, vol. 85(C), pages 16-25.
    44. Julio Cesar Mosquera Gutierres & Rafael Coradi Leme & Rodrigo Luiz Mendes Mota & Paulo E. Steele Santos, 2021. "Regulatory efficiency decomposition for utilities’ parallel subsystems," Operational Research, Springer, vol. 21(1), pages 331-347, March.
    45. Kao, Chiang, 2009. "Efficiency measurement for parallel production systems," European Journal of Operational Research, Elsevier, vol. 196(3), pages 1107-1112, August.
    46. Du, Juan & Chen, Yao & Huo, Jiazhen, 2015. "DEA for non-homogenous parallel networks," Omega, Elsevier, vol. 56(C), pages 122-132.
    47. Xiao Shi & Ali Emrouznejad & Minyue Jin & Feng Yang, 2020. "A new parallel fuzzy data envelopment analysis model for parallel systems with two components based on Stackelberg game theory," Fuzzy Optimization and Decision Making, Springer, vol. 19(3), pages 311-332, September.
    48. Cook, Wade D. & Zhu, Joe & Bi, Gongbing & Yang, Feng, 2010. "Network DEA: Additive efficiency decomposition," European Journal of Operational Research, Elsevier, vol. 207(2), pages 1122-1129, December.
    49. Yao Chen & Liang Liang & Feng Yang, 2006. "A DEA game model approach to supply chain efficiency," Annals of Operations Research, Springer, vol. 145(1), pages 5-13, July.

  17. Pesenti, Raffaele & Ukovich, Walter, 2003. "Economic lot scheduling on multiple production lines with resource constraints," International Journal of Production Economics, Elsevier, vol. 81(1), pages 469-481, January.

    Cited by:

    1. Simon Thevenin & Nicolas Zufferey & Jean-Yves Potvin, 2017. "Makespan minimisation for a parallel machine scheduling problem with preemption and job incompatibility," International Journal of Production Research, Taylor & Francis Journals, vol. 55(6), pages 1588-1606, March.
    2. Tang, Loon Ching & Lee, Loo Hay, 2005. "A simple recovery strategy for economic lot scheduling problem: A two-product case," International Journal of Production Economics, Elsevier, vol. 98(1), pages 97-107, October.
    3. Bollapragada, Ramesh & Croce, Federico Della & Ghirardi, Marco, 2011. "Discrete-time, economic lot scheduling problem on multiple, non-identical production lines," European Journal of Operational Research, Elsevier, vol. 215(1), pages 89-96, November.
    4. Lin, B.M.T. & Liu, S.T., 2008. "Maximizing the reward in the relocation problem with generalized due dates," International Journal of Production Economics, Elsevier, vol. 115(1), pages 55-63, September.
    5. Nazrul Shaikh & Vittal Prabhu & Danilo Abril & David Sánchez & Jorge Arias & Esteban Rodríguez & Germán Riaño, 2011. "Kimberly-Clark Latin America Builds an Optimization-Based System for Machine Scheduling," Interfaces, INFORMS, vol. 41(5), pages 455-465, October.
    6. Alper Atamtürk & Andrés Gómez, 2020. "Submodularity in Conic Quadratic Mixed 0–1 Optimization," Operations Research, INFORMS, vol. 68(2), pages 609-630, March.
    7. Torabi, S.A. & Karimi, B. & Fatemi Ghomi, S.M.T., 2005. "The common cycle economic lot scheduling in flexible job shops: The finite horizon case," International Journal of Production Economics, Elsevier, vol. 97(1), pages 52-65, July.

  18. Favaretto, Daniela & Pesenti, Raffaele & Ukovich, Walter, 2001. "Discrete frequency models for inventory management - an introduction," International Journal of Production Economics, Elsevier, vol. 71(1-3), pages 331-342, May.

    Cited by:

    1. Luca Bertazzi & Maria Grazia Speranza & Walter Ukovich, 2000. "Exact and Heuristic Solutions for a Shipment Problem with Given Frequencies," Management Science, INFORMS, vol. 46(7), pages 973-988, July.
    2. K. Balaji Reddy & S. Narayanan & S.R. Raju, 2012. "A staggered ordering model for push demand case in a supply chain of the confectionery industry: a case study," International Journal of Business Performance Management, Inderscience Enterprises Ltd, vol. 13(1), pages 87-102.

  19. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2001. "DEA-like models for efficiency evaluations of specialized and interdependent units," European Journal of Operational Research, Elsevier, vol. 132(2), pages 274-286, July.

    Cited by:

    1. Kao, Chiang, 2014. "Network data envelopment analysis: A review," European Journal of Operational Research, Elsevier, vol. 239(1), pages 1-16.
    2. Shuguang Lin & Paul Rouse & Ying-Ming Wang & Lin Lin & Zhen-Quan Zheng, 2023. "Performance measurement of nonhomogeneous Hong Kong hospitals using directional distance functions," Health Care Management Science, Springer, vol. 26(2), pages 330-343, June.
    3. Pinto, Claudio, 2018. "Performances management when modelling internal structure," MPRA Paper 87923, University Library of Munich, Germany.
    4. Liu, John S. & Lu, Louis Y.Y. & Lu, Wen-Min, 2016. "Research fronts in data envelopment analysis," Omega, Elsevier, vol. 58(C), pages 33-45.
    5. Kounetas, Konstantinos, 2015. "Heterogeneous technologies, strategic groups and environmental efficiency technology gaps for European countries," Energy Policy, Elsevier, vol. 83(C), pages 277-287.
    6. Lorenzo Castelli & Raffaele Pesenti & Walter Ukovich, 2010. "A classification of DEA models when the internal structure of the Decision Making Units is considered," Annals of Operations Research, Springer, vol. 173(1), pages 207-235, January.
    7. Chen, Chien-Ming, 2009. "A network-DEA model with new efficiency measures to incorporate the dynamic effect in production networks," European Journal of Operational Research, Elsevier, vol. 194(3), pages 687-699, May.
    8. Huang, Tai-Hsin & Chen, Kuan-Chen & Lin, Chung-I, 2018. "An extension from network DEA to copula-based network SFA: Evidence from the U.S. commercial banks in 2009," The Quarterly Review of Economics and Finance, Elsevier, vol. 67(C), pages 51-62.
    9. Pinto, Claudio, 2019. "Model and measure the relative efficiency of a four-stage production process. An NDEA multiplier relational model under different systems of resource distribution preferences between sub-processes," MPRA Paper 92617, University Library of Munich, Germany.
    10. Xiang Ji & Jie Wu & Qingyuan Zhu & Jiasen Sun, 2019. "Using a hybrid heterogeneous DEA method to benchmark China’s sustainable urbanization: an empirical study," Annals of Operations Research, Springer, vol. 278(1), pages 281-335, July.
    11. Shermeh, H. Ebrahimzadeh & Najafi, S.E. & Alavidoost, M.H., 2016. "A novel fuzzy network SBM model for data envelopment analysis: A case study in Iran regional power companies," Energy, Elsevier, vol. 112(C), pages 686-697.
    12. Mallikarjun, Sreekanth & Lewis, Herbert F. & Sexton, Thomas R., 2014. "Operational performance of U.S. public rail transit and implications for public policy," Socio-Economic Planning Sciences, Elsevier, vol. 48(1), pages 74-88.
    13. AGRELL, Per & HATAMI-MARBINI, Adel, 2011. "Frontier-based performance analysis models for supply chain management; state of the art and research directions," LIDAM Discussion Papers CORE 2011069, Université catholique de Louvain, Center for Operations Research and Econometrics (CORE).
    14. Holod, Dmytro & Lewis, Herbert F., 2011. "Resolving the deposit dilemma: A new DEA bank efficiency model," Journal of Banking & Finance, Elsevier, vol. 35(11), pages 2801-2810, November.
    15. Josef Jablonský, 2019. "Data Envelopment Analysis Models in Non-Homogeneous Environment," Acta Universitatis Agriculturae et Silviculturae Mendelianae Brunensis, Mendel University Press, vol. 67(6), pages 1535-1540.
    16. Castelli, Lorenzo & Pesenti, Raffaele & Ukovich, Walter, 2004. "DEA-like models for the efficiency evaluation of hierarchically structured units," European Journal of Operational Research, Elsevier, vol. 154(2), pages 465-476, April.
    17. Xiong, Xi & Yang, Guo-liang & Guan, Zhong-cheng, 2020. "A parallel DEA-based method for evaluating parallel independent subunits with heterogeneous outputs," Journal of Informetrics, Elsevier, vol. 14(3).
    18. Claudio Pinto, 2021. "Measure the Relative Efficiency of a Four-Stage Production Process with NDEA," International Journal of Business and Management, Canadian Center of Science and Education, vol. 15(10), pages 1-35, July.
    19. Du, Juan & Chen, Yao & Huo, Jiazhen, 2015. "DEA for non-homogenous parallel networks," Omega, Elsevier, vol. 56(C), pages 122-132.

  20. Baita, Flavio & Ukovich, Walter & Pesenti, Raffaele & Favaretto, Daniela, 1998. "Dynamic routing-and-inventory problems: a review," Transportation Research Part A: Policy and Practice, Elsevier, vol. 32(8), pages 585-598, November.

    Cited by:

    1. Mehmet Onur Olgun & Erdal Aydemir, 2021. "A new cooperative depot sharing approach for inventory routing problem," Annals of Operations Research, Springer, vol. 307(1), pages 417-441, December.
    2. Luca Bertazzi & Maria Grazia Speranza & Walter Ukovich, 2000. "Exact and Heuristic Solutions for a Shipment Problem with Given Frequencies," Management Science, INFORMS, vol. 46(7), pages 973-988, July.
    3. Pan, Zhendong & Tang, Jiafu & Fung, Richard Y.K., 2009. "Synchronization of inventory and transportation under flexible vehicle constraint: A heuristics approach using sliding windows and hierarchical tree structure," European Journal of Operational Research, Elsevier, vol. 192(3), pages 824-836, February.
    4. 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.
    5. Paolo Dell�Olmo, 2012. "The evolution of optimization models supporting mobility policies and territory development," RIEDS - Rivista Italiana di Economia, Demografia e Statistica - The Italian Journal of Economic, Demographic and Statistical Studies, SIEDS Societa' Italiana di Economia Demografia e Statistica, vol. 66(2), pages 87-101.
    6. N H Moin & S Salhi, 2007. "Inventory routing problems: a logistical overview," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(9), pages 1185-1194, September.
    7. Bertazzi, Luca & Grazia Speranza, Maria, 2005. "Worst-case analysis of the full load policy in the single link problem," International Journal of Production Economics, Elsevier, vol. 93(1), pages 217-224, January.
    8. Emde, Simon & Boysen, Nils, 2012. "Optimally routing and scheduling tow trains for JIT-supply of mixed-model assembly lines," European Journal of Operational Research, Elsevier, vol. 217(2), pages 287-299.
    9. Mirzapour Al-e-hashem, Seyed M.J. & Rekik, Yacine & Mohammadi Hoseinhajlou, Ebrahim, 2019. "A hybrid L-shaped method to solve a bi-objective stochastic transshipment-enabled inventory routing problem," International Journal of Production Economics, Elsevier, vol. 209(C), pages 381-398.
    10. Nagy, Gabor & Salhi, Said, 2007. "Location-routing: Issues, models and methods," European Journal of Operational Research, Elsevier, vol. 177(2), pages 649-672, March.
    11. Oded Berman & Qian Wang, 2006. "Inbound Logistic Planning: Minimizing Transportation and Inventory Cost," Transportation Science, INFORMS, vol. 40(3), pages 287-299, August.
    12. Shin Woong Sung & Young Jae Jang & Jung Hoon Kim & Juyeong Lee, 2017. "Business Analytics for Streamlined Assort Packing and Distribution of Fashion Goods at Kolon Sport," Interfaces, INFORMS, vol. 47(6), pages 555-573, December.
    13. Persson, Jan A. & Gothe-Lundgren, Maud, 2005. "Shipment planning at oil refineries using column generation and valid inequalities," European Journal of Operational Research, Elsevier, vol. 163(3), pages 631-652, June.
    14. Sıla Çetinkaya & Halit Üster & Gopalakrishnan Easwaran & Burcu Baris Keskin, 2009. "An Integrated Outbound Logistics Model for Frito-Lay: Coordinating Aggregate-Level Production and Distribution Decisions," Interfaces, INFORMS, vol. 39(5), pages 460-475, October.
    15. Simon Emde & Michael Schneider, 2018. "Just-In-Time Vehicle Routing for In-House Part Feeding to Assembly Lines," Transportation Science, INFORMS, vol. 52(3), pages 657-672, June.
    16. Mosca, Alyssa & Vidyarthi, Navneet & Satir, Ahmet, 2019. "Integrated transportation – inventory models: A review," Operations Research Perspectives, Elsevier, vol. 6(C).
    17. 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.
    18. Hossein Abouee-Mehrizi & Oded Berman & M. Reza Baharnemati, 2014. "Designing Production-Inventory-Transportation Systems with Capacitated Cross-Docks," Transportation Science, INFORMS, vol. 48(1), pages 121-135, February.
    19. 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.
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    2. Liu, ChengCheng & Lian, Feng & Yang, Zhongzhen, 2021. "Comparing the minimal costs of Arctic container shipping between China and Europe: A network schemes perspective," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    3. Mihaela Bukljaš & Kristijan Rogić & Vladimir Jerebić, 2022. "Distributionally Robust Model and Metaheuristic Frame for Liner Ships Fleet Deployment," Sustainability, MDPI, vol. 14(9), pages 1-18, May.
    4. Marielle Christiansen & Kjetil Fagerholt & David Ronen, 2004. "Ship Routing and Scheduling: Status and Perspectives," Transportation Science, INFORMS, vol. 38(1), pages 1-18, February.
    5. Škurić, Maja & Maraš, Vladislav & Davidović, Tatjana & Radonjić, Aleksandar, 2021. "Optimal allocating and sizing of passenger ferry fleet in maritime transport," Research in Transportation Economics, Elsevier, vol. 90(C).
    6. Pantuso, Giovanni & Fagerholt, Kjetil & Hvattum, Lars Magnus, 2014. "A survey on maritime fleet size and mix problems," European Journal of Operational Research, Elsevier, vol. 235(2), pages 341-349.
    7. Maxim A. Dulebenets & Junayed Pasha & Olumide F. Abioye & Masoud Kavoosi, 2021. "Vessel scheduling in liner shipping: a critical literature review and future research needs," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 43-106, March.
    8. Kjeldsen, Karina Hjortshøj, 2008. "Classification of routing and scheduling problems in liner shipping," CORAL Working Papers L-2008-06, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    9. Junayed Pasha & Maxim A. Dulebenets & Masoud Kavoosi & Olumide F. Abioye & Oluwatosin Theophilus & Hui Wang & Raphael Kampmann & Weihong Guo, 2020. "Holistic tactical-level planning in liner shipping: an exact optimization approach," Journal of Shipping and Trade, Springer, vol. 5(1), pages 1-35, December.
    10. Qiang Meng & Shuaian Wang & Henrik Andersson & Kristian Thun, 2014. "Containership Routing and Scheduling in Liner Shipping: Overview and Future Research Directions," Transportation Science, INFORMS, vol. 48(2), pages 265-280, May.
    11. Wu, Lingxiao & Wang, Shuaian & Laporte, Gilbert, 2021. "The Robust Bulk Ship Routing Problem with Batched Cargo Selection," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 124-159.
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