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Stein W. Wallace

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. Gu, Yewen & Goez, Julio C. & Mario, Guajardo & Wallace, Stein W., 2019. "Autonomous vessels: State of the art and potential opportunities in logistics," Discussion Papers 2019/6, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Sung-Woo Lee & Jisung Jo & Sewon Kim, 2021. "Leveraging the 4th Industrial Revolution Technology for Sustainable Development of the Northern Sea Route (NSR)—The Case Study of Autonomous Vessel," Sustainability, MDPI, vol. 13(15), pages 1-12, July.

  2. Prochazka, Vit & Adland, Roar & Wallace, Stein W., 2018. "The value of foresight in the drybulk freight market," Discussion Papers 2018/1, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Adland, Roar & Prochazka, Vit, 2021. "The value of timecharter optionality in the drybulk market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    2. Wang, Kelly Yujie & Wen, Yuan & Yip, Tsz Leung & Fan, Zuojun, 2021. "Carrier-shipper risk management and coordination in the presence of spot freight market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).
    3. Yang, Dong & Wu, Lingxiao & Wang, Shuaian, 2021. "Can we trust the AIS destination port information for bulk ships?–Implications for shipping policy and practice," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 149(C).

  3. Prochazka, Vit & Wallace, Stein W., 2017. "Stochastic programs with binary distributions: Structural properties of scenario trees and algorithms," Discussion Papers 2017/12, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.
    2. Wei Zhang & Kai Wang & Alexandre Jacquillat & Shuaian Wang, 2023. "Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 886-908, July.

  4. Gu, Yewen & Wallace, Stein W., 2017. "Scrubber: a potentially overestimated compliance method for the Emission Control Areas - The importance of involving a ship's sailing pattern in the evaluation," Discussion Papers 2017/13, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Trivyza, Nikoletta L. & Rentizelas, Athanasios & Theotokatos, Gerasimos & Boulougouris, Evangelos, 2022. "Decision support methods for sustainable ship energy systems: A state-of-the-art review," Energy, Elsevier, vol. 239(PC).
    2. Shuaian Wang & Dan Zhuge & Lu Zhen & Chung-Yee Lee, 2021. "Liner Shipping Service Planning Under Sulfur Emission Regulations," Transportation Science, INFORMS, vol. 55(2), pages 491-509, March.
    3. Lixian Fan & Bingmei Gu, 2019. "Impacts of the Increasingly Strict Sulfur Limit on Compliance Option Choices: The Case Study of Chinese SECA," Sustainability, MDPI, vol. 12(1), pages 1-20, December.
    4. 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.
    5. Lee, Sang-Jeong & Sun, Qinghe & Meng, Qiang, 2023. "Vessel weather routing subject to sulfur emission regulation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 177(C).
    6. Fan, Lixian & Gu, Bingmei & Luo, Meifeng, 2020. "A cost-benefit analysis of fuel-switching vs. hybrid scrubber installation: A container route through the Chinese SECA case," Transport Policy, Elsevier, vol. 99(C), pages 336-344.
    7. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2018. "Can an Emission Trading Scheme really reduce CO2 emissions in the short term? Evidence from a maritime fleet composition and deployment model," Discussion Papers 2018/10, Norwegian School of Economics, Department of Business and Management Science.
    8. Tan, Zhijia & Zeng, Xianyang & Shao, Shuai & Chen, Jihong & Wang, Hua, 2022. "Scrubber installation and green fuel for inland river ships with non-identical streamflow," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 161(C).
    9. Gong, Xu & Li, Zhi-Chun, 2022. "Determination of subsidy and emission control coverage under competition and cooperation of China-Europe Railway Express and liner shipping," Transport Policy, Elsevier, vol. 125(C), pages 323-335.
    10. Gunnar Prause & Eunice O. Olaniyi, 2020. "Building a sustainable and transferable sulphur emission free BSR [Die Errichtung eines nachhaltigen und übertragbaren Ostseeraumes ohne Schwefelemissionen]," NachhaltigkeitsManagementForum | Sustainability Management Forum, Springer, vol. 28(1), pages 21-27, June.
    11. Theodoros C. Zannis & John S. Katsanis & Georgios P. Christopoulos & Elias A. Yfantis & Roussos G. Papagiannakis & Efthimios G. Pariotis & Dimitrios C. Rakopoulos & Constantine D. Rakopoulos & Athanas, 2022. "Marine Exhaust Gas Treatment Systems for Compliance with the IMO 2020 Global Sulfur Cap and Tier III NO x Limits: A Review," Energies, MDPI, vol. 15(10), pages 1-49, May.
    12. Zhuge, Dan & Wang, Shuaian & Wang, David Z.W., 2021. "A joint liner ship path, speed and deployment problem under emission reduction measures," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 155-173.
    13. Katarzyna Prill & Cezary Behrendt & Marcin Szczepanek & Iwona Michalska-Pożoga, 2020. "A New Method of Determining Energy Efficiency Operational Indicator for Specialized Ships," Energies, MDPI, vol. 13(5), pages 1-17, March.
    14. Li, Lingyue & Gao, Suixiang & Yang, Wenguo & Xiong, Xing, 2020. "Ship’s response strategy to emission control areas: From the perspective of sailing pattern optimization and evasion strategy selection," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    15. Eunice Omolola Olaniyi & Laima Gerlitz, 2019. "LNG Maritime energy contracting model," Entrepreneurship and Sustainability Issues, VsI Entrepreneurship and Sustainability Center, vol. 7(1), pages 574-594, September.

  5. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2016. "Integrated maritime bunker management with stochastic fuel prices and new emission regulations," Discussion Papers 2016/13, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Yewen Gu & Stein W. Wallace & Xin Wang, 2017. "The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 199-224, Springer.

  6. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2016. "The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation," Discussion Papers 2016/17, Norwegian School of Economics, Department of Business and Management Science.

    Cited by:

    1. Tzeu-Chen Han & Chih-Min Wang, 2021. "Shipping Bunker Cost Risk Assessment and Management during the Coronavirus Oil Shock," Sustainability, MDPI, vol. 13(9), pages 1-12, April.

  7. Jamie Fairbrother & Amanda Turner & Stein Wallace, 2015. "Scenario generation for single-period portfolio selection problems with tail risk measures: coping with high dimensions and integer variables," Papers 1511.04935, arXiv.org, revised Apr 2017.

    Cited by:

    1. Wei Zhang & Kai Wang & Alexandre Jacquillat & Shuaian Wang, 2023. "Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 886-908, July.

  8. Kjell Arne Brekke & Rolf Golombek & Michal Kaut & Sverre A.C. Kittelsen & Stein W. Wallace, 2013. "The Impact of Uncertainty on the European Energy Market: A Scenario Aggregation Approach," CESifo Working Paper Series 4500, CESifo.

    Cited by:

    1. Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017. "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, vol. 134(C), pages 984-990.
    2. Finn Roar Aune & Rolf Golombek, 2018. "Carbon Prices are Redundant in the 2030 EU Climate and Energy Policy Package," CESifo Working Paper Series 7364, CESifo.

  9. Stein W. Wallace & Stein-Erik Fleten, 2002. "Stochastic programming in energy," GE, Growth, Math methods 0201001, University Library of Munich, Germany, revised 13 Nov 2003.

    Cited by:

    1. Wiedenmann, Susanne & Geldermann, Jutta, 2015. "Supply planning for processors of agricultural raw materials," European Journal of Operational Research, Elsevier, vol. 242(2), pages 606-619.
    2. Geman, Hélyette & Ohana, Steve, 2008. "Time-consistency in managing a commodity portfolio: A dynamic risk measure approach," Journal of Banking & Finance, Elsevier, vol. 32(10), pages 1991-2005, October.
    3. Hewings, Geoffrey J.D. & Dridi, Chokri & Guilhoto, Joaquim J.M., 2005. "Impacts of reallocation of resource constraints on the northeast economy of Brazil," MPRA Paper 38210, University Library of Munich, Germany.
    4. E. Nasakkala & J. Keppo, 2008. "Hydropower with Financial Information," Applied Mathematical Finance, Taylor & Francis Journals, vol. 15(5-6), pages 503-529.
    5. Avilés A., Camilo & Oliva H., Sebastian & Watts, David, 2019. "Single-dwelling and community renewable microgrids: Optimal sizing and energy management for new business models," Applied Energy, Elsevier, vol. 254(C).
    6. Vlerk, Maarten H. van der, 2003. "Integrated chance constraints in an ALM model for pension funds," Research Report 03A21, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    7. Andrea Beltratti & Andrea Consiglio & Stavros Zenios, 1999. "Scenario modeling for the management ofinternational bond portfolios," Annals of Operations Research, Springer, vol. 85(0), pages 227-247, January.
    8. Parpas, Panos & Webster, Mort, 2014. "A stochastic multiscale model for electricity generation capacity expansion," European Journal of Operational Research, Elsevier, vol. 232(2), pages 359-374.
    9. Elverhøi, Morten & Fleten, Stein-Erik & Fuss, Sabine & Heggedal, Ane Marte & Szolgayova, Jana & Troland, Ole Christian, 2010. "Evaluation of hydropower upgrade projects - a real options approach," MPRA Paper 23005, University Library of Munich, Germany.
    10. Eduardo Faria & Stein-Erik Fleten, 2011. "Day-ahead market bidding for a Nordic hydropower producer: taking the Elbas market into account," Computational Management Science, Springer, vol. 8(1), pages 75-101, April.
    11. Möst, Dominik & Keles, Dogan, 2010. "A survey of stochastic modelling approaches for liberalised electricity markets," European Journal of Operational Research, Elsevier, vol. 207(2), pages 543-556, December.
    12. Vlerk, Maarten H. van der, 2002. "On multiple simple recourse models," Research Report 02A06, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    13. Emilio Cerdá & Julio Moreno Lorente, 2009. "Chance Constrained Programming with one Discrete Random Variable in Each Constraint," Working Papers 2009-05, FEDEA.
    14. Guigues, Vincent & Sagastizábal, Claudia, 2012. "The value of rolling-horizon policies for risk-averse hydro-thermal planning," European Journal of Operational Research, Elsevier, vol. 217(1), pages 129-140.
    15. Asgeir Tomasgard & Shane Dye & Stein W. Wallace & Leen Stougie, 1997. "Modelling in Distributed Telecommunications Networks," Tinbergen Institute Discussion Papers 97-030/4, Tinbergen Institute.
    16. 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.
    17. Veelenturf, L.P. & Potthoff, D. & Huisman, D. & Kroon, L.G. & Maróti, G. & Wagelmans, A.P.M., 2013. "A Quasi-Robust Optimization Approach for Resource Rescheduling," Econometric Institute Research Papers 50110, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    18. Yong Zeng & Yanpeng Cai & Guohe Huang & Jing Dai, 2011. "A Review on Optimization Modeling of Energy Systems Planning and GHG Emission Mitigation under Uncertainty," Energies, MDPI, vol. 4(10), pages 1-33, October.
    19. Zhang, S., 2002. "An interior-point and decomposition approach to multiple stage stochastic programming," Econometric Institute Research Papers EI 2002-35, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    20. Ventosa, Mariano & Baillo, Alvaro & Ramos, Andres & Rivier, Michel, 2005. "Electricity market modeling trends," Energy Policy, Elsevier, vol. 33(7), pages 897-913, May.
    21. Schütz, Peter & Tomasgard, Asgeir, 2011. "The impact of flexibility on operational supply chain planning," International Journal of Production Economics, Elsevier, vol. 134(2), pages 300-311, December.
    22. Raimund M. Kovacevic, 2019. "Valuation and pricing of electricity delivery contracts: the producer’s view," Annals of Operations Research, Springer, vol. 275(2), pages 421-460, April.
    23. Schulte Beerbühl, S. & Fröhling, M. & Schultmann, F., 2015. "Combined scheduling and capacity planning of electricity-based ammonia production to integrate renewable energies," European Journal of Operational Research, Elsevier, vol. 241(3), pages 851-862.
    24. Olsen, Eirik Tandberg & Sanda, Gaute Egeland & Fleten, Stein-Erik, 2010. "Selective Hedging in Hydro-Based Electricity Companies," MPRA Paper 47820, University Library of Munich, Germany, revised 25 Jun 2013.
    25. Ronald Hochreiter & Christoph Waldhauser, 2014. "Active extension portfolio optimization with non-convex risk measures using metaheuristics," Papers 1406.7723, arXiv.org.
    26. Førsund, Finn R., 2005. "Hydropower Economics," Memorandum 30/2005, Oslo University, Department of Economics.
    27. Vehvilainen, Iivo & Pyykkonen, Tuomas, 2005. "Stochastic factor model for electricity spot price--the case of the Nordic market," Energy Economics, Elsevier, vol. 27(2), pages 351-367, March.
    28. Willem Haneveld & Maarten Vlerk, 2006. "Integrated Chance Constraints: Reduced Forms and an Algorithm," Computational Management Science, Springer, vol. 3(4), pages 245-269, September.
    29. Rastogi, Aditya P. & Fowler, John W. & Matthew Carlyle, W. & Araz, Ozgur M. & Maltz, Arnold & Büke, Burak, 2011. "Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations," International Journal of Production Economics, Elsevier, vol. 134(2), pages 322-332, December.
    30. G.C. Pflug & A. Ruszczynski & R. Schultz, 1996. "On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse and Extensions," Working Papers wp96020, International Institute for Applied Systems Analysis.
    31. Berkelaar, A.B. & Dert, C.L. & Oldenkamp, K.P.B. & Zhang, S., 1999. "A primal-dual decomposition based interior point approach to two-stage stochastic linear programming," Econometric Institute Research Papers EI 9918-/A, Erasmus University Rotterdam, Erasmus School of Economics (ESE), Econometric Institute.
    32. Zhuang, Jifang & Gabriel, Steven A., 2008. "A complementarity model for solving stochastic natural gas market equilibria," Energy Economics, Elsevier, vol. 30(1), pages 113-147, January.
    33. Vlerk, Maarten H. van der, 2004. "Convex approximations for a class of mixed-integer recourse models," Research Report 04A28, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    34. Kovacevic, Raimund M. & Paraschiv, Florentina, 2012. "Medium-term Planning for Thermal Electricity Production," Working Papers on Finance 1220, University of St. Gallen, School of Finance.
    35. Marco Colombo & Andreas Grothey, 2013. "A decomposition-based crash-start for stochastic programming," Computational Optimization and Applications, Springer, vol. 55(2), pages 311-340, June.
    36. Bungener, Stephane & Hackl, Roman & Van Eetvelde, Greet & Harvey, Simon & Marechal, Francois, 2015. "Multi-period analysis of heat integration measures in industrial clusters," Energy, Elsevier, vol. 93(P1), pages 220-234.
    37. Sebastian Kuhn & Rüdiger Schultz, 2009. "Risk neutral and risk averse power optimization in electricity networks with dispersed generation," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 69(2), pages 353-367, May.
    38. G.C. Pflug & A. Ruszczynski & R. Schultz, 1995. "On the Glivenko-Cantelli Problem in Stochastic Programming: Linear Recourse," Working Papers wp95003, International Institute for Applied Systems Analysis.
    39. Fleten, Stein-Erik & Haugstvedt, Daniel & Steinsbø, Jens Arne & Belsnes, Michael & Fleischmann, Franziska, 2011. "Bidding hydropower generation: Integrating short- and long-term scheduling," MPRA Paper 44450, University Library of Munich, Germany.
    40. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
    41. Karl-Theodor Eisele & Philippe Artzner, 2013. "Multiperiod Banking Supervision," Working Papers of LaRGE Research Center 2013-05, Laboratoire de Recherche en Gestion et Economie (LaRGE), Université de Strasbourg.
    42. Jan Abrell & Friedrich Kunz, 2013. "Integrating Intermittent Renewable Wind Generation: A Stochastic Multi-Market Electricity Model for the European Electricity Market," Discussion Papers of DIW Berlin 1301, DIW Berlin, German Institute for Economic Research.
    43. Klein Haneveld, Willem K. & Vlerk, Maarten H. van der, 2002. "Integrated chance constraints: reduced forms and an algorithm," Research Report 02A33, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    44. Michael Chen & Sanjay Mehrotra & Dávid Papp, 2015. "Scenario generation for stochastic optimization problems via the sparse grid method," Computational Optimization and Applications, Springer, vol. 62(3), pages 669-692, December.
    45. Bernhard Hasche & Rüdiger Barth & Derk Jan Swider, 2007. "Effects of Improved Wind Forecasts on Operational Costs in the German Electricity System," Energy and Environmental Modeling 2007 24000017, EcoMod.
    46. Seljom, Pernille & Tomasgard, Asgeir, 2015. "Short-term uncertainty in long-term energy system models — A case study of wind power in Denmark," Energy Economics, Elsevier, vol. 49(C), pages 157-167.
    47. Fleten, Stein-Erik & Kristoffersen, Trine Krogh, 2007. "Stochastic programming for optimizing bidding strategies of a Nordic hydropower producer," European Journal of Operational Research, Elsevier, vol. 181(2), pages 916-928, September.
    48. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.
    49. Garcia-Gonzalez, Javier & Parrilla, Ernesto & Mateo, Alicia, 2007. "Risk-averse profit-based optimal scheduling of a hydro-chain in the day-ahead electricity market," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1354-1369, September.
    50. Secomandi, Nicola & Seppi, Duane J., 2014. "Real Options and Merchant Operations of Energy and Other Commodities," Foundations and Trends(R) in Technology, Information and Operations Management, now publishers, vol. 6(3-4), pages 161-331, July.
    51. Conejo, Antonio J. & Nogales Martín, Francisco Javier & Prieto Fernández, Francisco Javier, 2001. "A decomposition procedure based on approximate newton directions," DES - Working Papers. Statistics and Econometrics. WS ws010906, Universidad Carlos III de Madrid. Departamento de Estadística.
    52. M. Pilar Muñoz & Cristina Corchero & F.-Javier Heredia, 2013. "Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid," International Statistical Review, International Statistical Institute, vol. 81(2), pages 289-306, August.
    53. Flaten, Ola & Lien, Gudbrand D., 2005. "Stochastic Utility-Efficient Programming of Organic Dairy Farms," 2005 International Congress, August 23-27, 2005, Copenhagen, Denmark 24743, European Association of Agricultural Economists.
    54. Stougie, Leen & Vlerk, Maarten H. van der, 2003. "Approximation in stochastic integer programming," Research Report 03A14, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    55. Gro Klaeboe & Anders Lund Eriksrud & Stein-Erik Fleten, 2013. "Benchmarking time series based forecasting models for electricity balancing market prices," Working Papers 2013-006, The George Washington University, Department of Economics, H. O. Stekler Research Program on Forecasting.
    56. Vlerk, Maarten H. van der, 2002. "Convex approximations for complete integer recourse models," Research Report 02A21, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    57. Lang, Joachim & Madlener, Reinhard, 2010. "Portfolio Optimization for Power Plants: The Impact of Credit Risk Mitigation and Margining," FCN Working Papers 11/2010, E.ON Energy Research Center, Future Energy Consumer Needs and Behavior (FCN).

Articles

  1. Zhang, Dongqing & Wallace, Stein W. & Guo, Zhaoxia & Dong, Yucheng & Kaut, Michal, 2021. "On scenario construction for stochastic shortest path problems in real road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

    Cited by:

    1. Guo, Feng & Wei, Qu & Wang, Miao & Guo, Zhaoxia & Wallace, Stein W., 2023. "Deep attention models with dimension-reduction and gate mechanisms for solving practical time-dependent vehicle routing problems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 173(C).
    2. Daniela Ambrosino & Carmine Cerrone, 2022. "The Cost-Balanced Path Problem: A Mathematical Formulation and Complexity Analysis," Mathematics, MDPI, vol. 10(5), pages 1-13, March.
    3. Liu, Zeyu & Li, Xueping & Khojandi, Anahita, 2022. "The flying sidekick traveling salesman problem with stochastic travel time: A reinforcement learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).

  2. Gu, Yewen & Wallace, Stein W., 2021. "Operational benefits of autonomous vessels in logistics—A case of autonomous water-taxis in Bergen," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).

    Cited by:

    1. Maciej Tarkowski & Krystian Puzdrakiewicz, 2021. "Connectivity Benefits of Small Zero-Emission Autonomous Ferries in Urban Mobility—Case of the Coastal City of Gdańsk (Poland)," Sustainability, MDPI, vol. 13(23), pages 1-13, November.

  3. Seyed Mostafa Mirhedayatian & Teodor Gabriel Crainic & Mario Guajardo & Stein W. Wallace, 2021. "A two-echelon location-routing problem with synchronisation," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 72(1), pages 145-160, January.

    Cited by:

    1. Wang, Qingyi & Nie, Xiaofeng, 2023. "A location-inventory-routing model for distributing emergency supplies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 175(C).
    2. Yu, Shaohua & Puchinger, Jakob & Sun, Shudong, 2022. "Van-based robot hybrid pickup and delivery routing problem," European Journal of Operational Research, Elsevier, vol. 298(3), pages 894-914.

  4. Wang, Shuang & Wallace, Stein W. & Lu, Jing & Gu, Yewen, 2020. "Handling financial risks in crude oil imports: Taking into account crude oil prices as well as country and transportation risks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).

    Cited by:

    1. Wang, Shuang & Jia, Haiying & Lu, Jing & Yang, Dong, 2023. "Crude oil transportation route choices: A connectivity reliability-based approach," Reliability Engineering and System Safety, Elsevier, vol. 235(C).
    2. Kumar, Sourabh & Kumar Barua, Mukesh, 2022. "Modeling and investigating the interaction among risk factors of the sustainable petroleum supply chain," Resources Policy, Elsevier, vol. 79(C).
    3. Zhang, Dongqing & Wallace, Stein W. & Guo, Zhaoxia & Dong, Yucheng & Kaut, Michal, 2021. "On scenario construction for stochastic shortest path problems in real road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    4. Bai, Xiwen, 2021. "Tanker freight rates and economic policy uncertainty: A wavelet-based copula approach," Energy, Elsevier, vol. 235(C).

  5. Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.

    Cited by:

    1. Julien Keutchayan & Janosch Ortmann & Walter Rei, 2023. "Problem-driven scenario clustering in stochastic optimization," Computational Management Science, Springer, vol. 20(1), pages 1-33, December.
    2. Wei Zhang & Kai Wang & Alexandre Jacquillat & Shuaian Wang, 2023. "Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 886-908, July.
    3. 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.

  6. Prochazka, Vit & Adland, Roar & Wallace, Stein W., 2019. "The value of foresight in the drybulk freight market," Transportation Research Part A: Policy and Practice, Elsevier, vol. 129(C), pages 232-245.
    See citations under working paper version above.
  7. Maggioni, Francesca & Cagnolari, Matteo & Bertazzi, Luca & Wallace, Stein W., 2019. "Stochastic optimization models for a bike-sharing problem with transshipment," European Journal of Operational Research, Elsevier, vol. 276(1), pages 272-283.

    Cited by:

    1. Cheng, Yao & Wang, Junwei & Wang, Yan, 2021. "A user-based bike rebalancing strategy for free-floating bike sharing systems: A bidding model," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 154(C).
    2. Chen, Qingxin & Fu, Chenyi & Zhu, Ning & Ma, Shoufeng & He, Qiao-Chu, 2023. "A target-based optimization model for bike-sharing systems: From the perspective of service efficiency and equity," Transportation Research Part B: Methodological, Elsevier, vol. 167(C), pages 235-260.
    3. Yongji Jia & Wang Zeng & Yanting Xing & Dong Yang & Jia Li, 2020. "The Bike-Sharing Rebalancing Problem Considering Multi-Energy Mixed Fleets and Traffic Restrictions," Sustainability, MDPI, vol. 13(1), pages 1-15, December.
    4. Foschi, Rachele, 2023. "A Point Processes approach to bicycle sharing systems’ design and management," Socio-Economic Planning Sciences, Elsevier, vol. 87(PB).
    5. Francesca Maggioni & Matteo Cagnolari & Luca Bertazzi, 2019. "The value of the right distribution in stochastic programming with application to a Newsvendor problem," Computational Management Science, Springer, vol. 16(4), pages 739-758, October.
    6. Neumann-Saavedra, Bruno Albert & Mattfeld, Dirk Christian & Hewitt, Mike, 2021. "Assessing the operational impact of tactical planning models for bike-sharing redistribution," Transportation Research Part A: Policy and Practice, Elsevier, vol. 150(C), pages 216-235.
    7. Dong, Xiaoyang & Zhang, Bin & Wang, Zhaohua, 2023. "Impact of land use on bike-sharing travel patterns: Evidence from large scale data analysis in China," Land Use Policy, Elsevier, vol. 133(C).
    8. Fu, Chenyi & Zhu, Ning & Ma, Shoufeng & Liu, Ronghui, 2022. "A two-stage robust approach to integrated station location and rebalancing vehicle service design in bike-sharing systems," European Journal of Operational Research, Elsevier, vol. 298(3), pages 915-938.
    9. Fu, Chenyi & Ma, Shoufeng & Zhu, Ning & He, Qiao-Chu & Yang, Hai, 2022. "Bike-sharing inventory management for market expansion," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 28-54.
    10. 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.
    11. Gu, Wei & Yu, Xiaoru & Zhang, Shichen & Yan, Xiangbin & Wang, Chen, 2023. "To outsource or not: Bike-share rebalancing strategies under the service quality deviation of a third party," European Journal of Operational Research, Elsevier, vol. 310(2), pages 847-859.
    12. Xue Bai & Ning Ma & Kwai-Sang Chin, 2022. "Hybrid Heuristic for the Multi-Depot Static Bike Rebalancing and Collection Problem," Mathematics, MDPI, vol. 10(23), pages 1-28, December.

  8. Yewen Gu & Stein W. Wallace & Xin Wang, 2019. "Integrated maritime fuel management with stochastic fuel prices and new emission regulations," Journal of the Operational Research Society, Taylor & Francis Journals, vol. 70(5), pages 707-725, May.

    Cited by:

    1. Zhang, Dongqing & Wallace, Stein W. & Guo, Zhaoxia & Dong, Yucheng & Kaut, Michal, 2021. "On scenario construction for stochastic shortest path problems in real road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).
    2. 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.
    3. Pache, Hannah & Grafelmann, Michaela & Schwientek, Anne Kathrina & Jahn, Carlos, 2020. "Tactical planning in tramp shipping - A literature review," 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 281-308, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

  9. Zhaoxia Guo & Stein W. Wallace & Michal Kaut, 2019. "Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 654-670, October.

    Cited by:

    1. Alexandre M. Florio & Nabil Absi & Dominique Feillet, 2021. "Routing Electric Vehicles on Congested Street Networks," Transportation Science, INFORMS, vol. 55(1), pages 238-256, 1-2.
    2. Zhang, Dongqing & Wallace, Stein W. & Guo, Zhaoxia & Dong, Yucheng & Kaut, Michal, 2021. "On scenario construction for stochastic shortest path problems in real road networks," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 152(C).

  10. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.

    Cited by:

    1. Wang, Qingyi & Wallace, Stein W., 2022. "Non-compliance in transit-based evacuation pick-up point assignments," Socio-Economic Planning Sciences, Elsevier, vol. 82(PB).
    2. Wang, Zujian & Qi, Mingyao, 2019. "Service network design considering multiple types of services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 1-14.
    3. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A reduced cost-based restriction and refinement matheuristic for stochastic network design problem," Journal of Heuristics, Springer, vol. 27(3), pages 325-351, June.
    4. Liu, Chuanju & Lin, Shaochong & Shen, Zuo-Jun Max & Zhang, Junlong, 2023. "Stochastic service network design: The value of fixed routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    5. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    6. Jiang, Xiaoping & Bai, Ruibin & Ren, Jianfeng & Li, Jiawei & Kendall, Graham, 2022. "Lagrange dual bound computation for stochastic service network design," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1097-1112.

  11. Tsan‐Ming Choi & Stein W. Wallace & Yulan Wang, 2018. "Big Data Analytics in Operations Management," Production and Operations Management, Production and Operations Management Society, vol. 27(10), pages 1868-1883, October.

    Cited by:

    1. Cai, Ya-Jun & Choi, Tsan-Ming, 2020. "A United Nations’ Sustainable Development Goals perspective for sustainable textile and apparel supply chain management," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    2. Jung, Seung Hwan & Yang, Yunsi, 2023. "On the value of operational flexibility in the trailer shipment and assignment problem: Data-driven approaches and reinforcement learning," International Journal of Production Economics, Elsevier, vol. 264(C).
    3. Morgan Swink & Kejia Hu & Xiande Zhao, 2022. "Analytics applications, limitations, and opportunities in restaurant supply chains," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3710-3726, October.
    4. Choi, Tsan-Ming & Feng, Lipan & Li, Rong, 2020. "Information disclosure structure in supply chains with rental service platforms in the blockchain technology era," International Journal of Production Economics, Elsevier, vol. 221(C).
    5. Liu, Weihua & George Shanthikumar, J. & Tae-Woo Lee, Paul & Li, Xiang & Zhou, Li, 2021. "Special issue editorial: Smart supply chains and intelligent logistics services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 147(C).
    6. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2020. "Optimal pricing in on-demand-service-platform-operations with hired agents and risk-sensitive customers in the blockchain era," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1031-1042.
    7. Subodha Kumar & Rakesh R. Mallipeddi, 2022. "Impact of cybersecurity on operations and supply chain management: Emerging trends and future research directions," Production and Operations Management, Production and Operations Management Society, vol. 31(12), pages 4488-4500, December.
    8. Maria De‐Arteaga & Stefan Feuerriegel & Maytal Saar‐Tsechansky, 2022. "Algorithmic fairness in business analytics: Directions for research and practice," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3749-3770, October.
    9. He Jiang, 2023. "Robust forecasting in spatial autoregressive model with total variation regularization," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 42(2), pages 195-211, March.
    10. Bag, Surajit & Rahman, Muhammad Sabbir & Srivastava, Gautam & Shore, Adam & Ram, Pratibha, 2023. "Examining the role of virtue ethics and big data in enhancing viable, sustainable, and digital supply chain performance," Technological Forecasting and Social Change, Elsevier, vol. 186(PB).
    11. Dmitry Ivanov, 2022. "Viable supply chain model: integrating agility, resilience and sustainability perspectives—lessons from and thinking beyond the COVID-19 pandemic," Annals of Operations Research, Springer, vol. 319(1), pages 1411-1431, December.
    12. Choi, Tsan-Ming & Chen, Yue, 2021. "Circular supply chain management with large scale group decision making in the big data era: The macro-micro model," Technological Forecasting and Social Change, Elsevier, vol. 169(C).
    13. Sun, Xuting & Chung, Sai-Ho & Choi, Tsan-Ming & Sheu, Jiuh-Biing & Ma, Hoi Lam, 2020. "Combating lead-time uncertainty in global supply chain's shipment-assignment: Is it wise to be risk-averse?," Transportation Research Part B: Methodological, Elsevier, vol. 138(C), pages 406-434.
    14. Zhang, Abraham & Wang, Jason X. & Farooque, Muhammad & Wang, Yulan & Choi, Tsan-Ming, 2021. "Multi-dimensional circular supply chain management: A comparative review of the state-of-the-art practices and research," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    15. Meadows, Maureen & Merendino, Alessandro & Dibb, Sally & Garcia-Perez, Alexeis & Hinton, Matthew & Papagiannidis, Savvas & Pappas, Ilias & Wang, Huamao, 2022. "Tension in the data environment: How organisations can meet the challenge," Technological Forecasting and Social Change, Elsevier, vol. 175(C).
    16. Oliveira-Dias, Diéssica de & Maqueira-Marin, Juan Manuel & Moyano-Fuentes, José & Carvalho, Helena, 2023. "Implications of using Industry 4.0 base technologies for lean and agile supply chains and performance," International Journal of Production Economics, Elsevier, vol. 262(C).
    17. Chia-Yen Lee & Chen-Fu Chien, 2022. "Pitfalls and protocols of data science in manufacturing practice," Journal of Intelligent Manufacturing, Springer, vol. 33(5), pages 1189-1207, June.
    18. Lei Wang & Ram Gopal & Ramesh Shankar & Joseph Pancras, 2022. "Forecasting venue popularity on location‐based services using interpretable machine learning," Production and Operations Management, Production and Operations Management Society, vol. 31(7), pages 2773-2788, July.
    19. Suyuan Luo & Tsan‐Ming Choi, 2022. "E‐commerce supply chains with considerations of cyber‐security: Should governments play a role?," Production and Operations Management, Production and Operations Management Society, vol. 31(5), pages 2107-2126, May.
    20. Vaibhav S. Narwane & Rakesh D. Raut & Sachin Kumar Mangla & Manoj Dora & Balkrishna E. Narkhede, 2023. "Risks to Big Data Analytics and Blockchain Technology Adoption in Supply Chains," Annals of Operations Research, Springer, vol. 327(1), pages 339-374, August.
    21. Gür Ali, Özden & Gürlek, Ragıp, 2020. "Automatic Interpretable Retail forecasting with promotional scenarios," International Journal of Forecasting, Elsevier, vol. 36(4), pages 1389-1406.
    22. Manjul Gupta & Amulya Gupta & Karlene Cousins, 2022. "Toward the understanding of the constituents of organizational culture: The embedded topic modeling analysis of publicly available employee‐generated reviews of two major U.S.‐based retailers," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3668-3686, October.
    23. Dieudonné Tchuente & Serge Nyawa, 2022. "Real estate price estimation in French cities using geocoding and machine learning," Annals of Operations Research, Springer, vol. 308(1), pages 571-608, January.
    24. Marika Parcesepe & Francesca Forgione & Celeste Maria Ciampi & Gerardo Nisco Ciarcia & Valeria Guerriero & Mariaconsiglia Iannotti & Letizia Saviano & Maria Letizia Melisi & Salvatore Rampone, 2023. "Towards the automated evaluation of product packaging in the Food&Beverage sector through data science/machine learning methods," Quality & Quantity: International Journal of Methodology, Springer, vol. 57(3), pages 2269-2280, June.
    25. Pournader, Mehrdokht & Ghaderi, Hadi & Hassanzadegan, Amir & Fahimnia, Behnam, 2021. "Artificial intelligence applications in supply chain management," International Journal of Production Economics, Elsevier, vol. 241(C).
    26. Wilkin, Carla & Ferreira, Aldónio & Rotaru, Kristian & Gaerlan, Luigi Red, 2020. "Big data prioritization in SCM decision-making: Its role and performance implications," International Journal of Accounting Information Systems, Elsevier, vol. 38(C).
    27. Chan, Hau-Ling & Choi, Tsan-Ming & Mendez De la Torre, Daniela, 2023. "The “SMARTER” framework and real application cases of blockchain," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    28. Sushil Gupta & Medha Tekriwal & Carlos M. Parra, 2022. "Permeation of the term “analytics” in production and operations management research," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3651-3667, October.
    29. Srinivas, Sharan & Ramachandiran, Surya & Rajendran, Suchithra, 2022. "Autonomous robot-driven deliveries: A review of recent developments and future directions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 165(C).
    30. Choi, Tsan-Ming & Liu, Na, 2019. "Optimal advertisement budget allocation and coordination in luxury fashion supply chains with multiple brand-tier products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 95-107.
    31. Yongtao Peng & Bohai Chen & Eleonora Veglianti, 2022. "Platform Service Supply Chain Network Equilibrium Model with Data Empowerment," Sustainability, MDPI, vol. 14(9), pages 1-21, April.
    32. Fink, Alexander A. & Klöckner, Maximilian & Räder, Tobias & Wagner, Stephan M., 2022. "Supply chain management accelerators: Types, objectives, and key design features," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    33. Bag, Surajit & Pretorius, Jan Ham Christiaan & Gupta, Shivam & Dwivedi, Yogesh K., 2021. "Role of institutional pressures and resources in the adoption of big data analytics powered artificial intelligence, sustainable manufacturing practices and circular economy capabilities," Technological Forecasting and Social Change, Elsevier, vol. 163(C).
    34. Zhong, Qinjia & Wang, Jianjun & Zou, Zongbao & Lai, Xiaofan, 2023. "The incentives for information sharing in online retail platforms," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    35. Li, Xiang, 2020. "Reducing channel costs by investing in smart supply chain technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    36. Andrea Ferrari & Giulio Mangano & Anna Corinna Cagliano & Alberto De Marco, 2023. "4.0 technologies in city logistics: an empirical investigation of contextual factors," Operations Management Research, Springer, vol. 16(1), pages 345-362, March.
    37. Xiangyu Chang & Yinghui Huang & Mei Li & Xin Bo & Subodha Kumar, 2021. "Efficient Detection of Environmental Violators: A Big Data Approach," Production and Operations Management, Production and Operations Management Society, vol. 30(5), pages 1246-1270, May.
    38. Chethana Dharmawardane & Ville Sillanpää & Jan Holmström, 2021. "High-frequency forecasting for grocery point-of-sales: intervention in practice and theoretical implications for operational design," Operations Management Research, Springer, vol. 14(1), pages 38-60, June.
    39. Liu, Weihua & Wang, Siyu & Lin, Yong & Xie, Dong & Zhang, Jiahui, 2020. "Effect of intelligent logistics policy on shareholder value: Evidence from Chinese logistics companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 137(C).
    40. Shi, Yong & Boudouh, Toufik & Grunder, Olivier, 2019. "A robust optimization for a home health care routing and scheduling problem with consideration of uncertain travel and service times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 52-95.
    41. Bodendorf, Frank & Xie, Qiao & Merkl, Philipp & Franke, Jörg, 2022. "A multi-perspective approach to support collaborative cost management in supplier-buyer dyads," International Journal of Production Economics, Elsevier, vol. 245(C).
    42. Guangmei Cao & Yuesen Wang & Honghu Gao & Hao Liu & Haibin Liu & Zhigang Song & Yuqing Fan, 2023. "Coordination Decision-Making for Intelligent Transformation of Logistics Services under Capital Constraint," Sustainability, MDPI, vol. 15(6), pages 1-25, March.
    43. Rong Liu & Jujun Huang & Zhongju Zhang, 2023. "Tracking disclosure change trajectories for financial fraud detection," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 584-602, February.
    44. Jeffrey A. Hoyle & Rebecca Dingus & J. Holton Wilson, 2020. "An exploration of sales forecasting: sales manager and salesperson perspectives," Journal of Marketing Analytics, Palgrave Macmillan, vol. 8(3), pages 127-136, September.
    45. Erkip, Nesim Kohen, 2023. "Can accessing much data reshape the theory? Inventory theory under the challenge of data-driven systems," European Journal of Operational Research, Elsevier, vol. 308(3), pages 949-959.
    46. Brinch, Morten & Gunasekaran, Angappa & Fosso Wamba, Samuel, 2021. "Firm-level capabilities towards big data value creation," Journal of Business Research, Elsevier, vol. 131(C), pages 539-548.
    47. Jason R. W. Merrick & Claire A. Dorsey & Bo Wang & Martha Grabowski & John R. Harrald, 2022. "Measuring Prediction Accuracy in a Maritime Accident Warning System," Production and Operations Management, Production and Operations Management Society, vol. 31(2), pages 819-827, February.
    48. Shafiq, Asad & Ahmed, Muhammad Usman & Mahmoodi, Farzad, 2020. "Impact of supply chain analytics and customer pressure for ethical conduct on socially responsible practices and performance: An exploratory study," International Journal of Production Economics, Elsevier, vol. 225(C).
    49. Choi, Tsan-Ming, 2019. "Blockchain-technology-supported platforms for diamond authentication and certification in luxury supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 17-29.
    50. Havinga, Maik J.A. & de Jonge, Bram, 2020. "Condition-based maintenance in the cyclic patrolling repairman problem," International Journal of Production Economics, Elsevier, vol. 222(C).
    51. Choi, Tsan-Ming & Ouyang, Xu, 2021. "Initial coin offerings for blockchain based product provenance authentication platforms," International Journal of Production Economics, Elsevier, vol. 233(C).
    52. Liu, Weihua & Long, Shangsong & Wei, Shuang, 2022. "Correlation mechanism between smart technology and smart supply chain innovation performance: A multi-case study from China's companies with Physical Internet," International Journal of Production Economics, Elsevier, vol. 245(C).
    53. Choi, Tsan-Ming, 2020. "Internet based elastic logistics platforms for fashion quick response systems in the digital era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    54. Raeesi, Ramin & Sahebjamnia, Navid & Mansouri, S. Afshin, 2023. "The synergistic effect of operational research and big data analytics in greening container terminal operations: A review and future directions," European Journal of Operational Research, Elsevier, vol. 310(3), pages 943-973.
    55. de Jonge, Bram & Scarf, Philip A., 2020. "A review on maintenance optimization," European Journal of Operational Research, Elsevier, vol. 285(3), pages 805-824.
    56. Byungjoon Park & Hasung Kim & Byeongtae Ahn, 2020. "Implementation for Comparison Analysis System of Used Transaction Using Big Data," Sustainability, MDPI, vol. 12(19), pages 1-17, September.
    57. 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).
    58. Ma, Deqing & Hu, Jinsong, 2022. "The optimal combination between blockchain and sales format in an internet platform-based closed-loop supply chain," International Journal of Production Economics, Elsevier, vol. 254(C).
    59. Dutta, Pankaj & Choi, Tsan-Ming & Somani, Surabhi & Butala, Richa, 2020. "Blockchain technology in supply chain operations: Applications, challenges and research opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    60. Luo, Suyuan & Lin, Xudong & Zheng, Zunxin, 2019. "A novel CNN-DDPG based AI-trader: Performance and roles in business operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 68-79.
    61. 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).
    62. Wang, Qianwen & Liu, Xu & Huo, Baofeng & Zhao, Xiande, 2023. "Economic or relational first? Establishing the competitiveness of third-party logistics information sharing by devoting specific assets and mutual trust," International Journal of Production Economics, Elsevier, vol. 261(C).
    63. Li, Dan & Liu, Yongmei & Hu, Junhua & Chen, Xiaohong, 2021. "Private-brand introduction and investment effect on online platform-based supply chains," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    64. Khan, Waqar Ahmed & Ma, Hoi-Lam & Ouyang, Xu & Mo, Daniel Y., 2021. "Prediction of aircraft trajectory and the associated fuel consumption using covariance bidirectional extreme learning machines," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 145(C).
    65. Niu, Baozhuang & Dai, Zhipeng & Zhuo, Xiaopo, 2019. "Co-opetition effect of promised-delivery-time sensitive demand on air cargo carriers’ big data investment and demand signal sharing decisions," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 123(C), pages 29-44.
    66. Margherita Bernabei & Marco Eugeni & Paolo Gaudenzi & Francesco Costantino, 2023. "Assessment of Smart Transformation in the Manufacturing Process of Aerospace Components Through a Data-Driven Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 24(1), pages 67-86, March.
    67. Smaïl Benzidia & Naouel Makaoui & Omar Bentahar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Post-Print hal-03028127, HAL.
    68. Lu (Lucy) Yan, 2020. "The Kindness of Commenters: An Empirical Study of the Effectiveness of Perceived and Received Support for Weight‐Loss Outcomes," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1448-1466, June.
    69. Li, Feng & Du, Timon Chih-ting & Wei, Ying, 2019. "Offensive pricing strategies for online platforms," International Journal of Production Economics, Elsevier, vol. 216(C), pages 287-304.
    70. Xu, Xiaoyan & Chung, Sai-Ho & Lo, Chris K.Y. & Yeung, Andy C.L., 2022. "Sustainable supply chain management with NGOs, NPOs, and charity organizations: A systematic review and research agenda," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    71. 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.
    72. Yining Wang & Yi Wu & Simon S. Du, 2021. "Near-Linear Time Local Polynomial Nonparametric Estimation with Box Kernels," INFORMS Journal on Computing, INFORMS, vol. 33(4), pages 1339-1353, October.
    73. Luo, Na & Olsen, Tava & Liu, Yanping & Zhang, Abraham, 2022. "Reducing food loss and waste in supply chain operations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 162(C).
    74. Sariyer, Gorkem & Mangla, Sachin Kumar & Kazancoglu, Yigit & Jain, Vranda & Ataman, Mustafa Gokalp, 2023. "Data-driven decision making for modelling covid-19 and its implications: A cross-country study," Technological Forecasting and Social Change, Elsevier, vol. 197(C).
    75. Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Optimal E-tailing channel structure and service contracting in the platform era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    76. Anupama Prashar, 2023. "Title: production planning and control in industry 4.0 environment: a morphological analysis of literature and research agenda," Journal of Intelligent Manufacturing, Springer, vol. 34(6), pages 2513-2528, August.
    77. Oliver Schaer & Nikolaos Kourentzes & Robert Fildes, 2022. "Predictive competitive intelligence with prerelease online search traffic," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3823-3839, October.
    78. Xiaomin Du & Yang Gao & Linlin Chang & Xiangxiang Lang & Xingqun Xue & Datian Bi, 2020. "Assessing the application of big data technology in platform business model: A hierarchical framework," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-21, September.
    79. Robert P. Rooderkerk & Nicole DeHoratius & Andrés Musalem, 2022. "The past, present, and future of retail analytics: Insights from a survey of academic research and interviews with practitioners," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3727-3748, October.
    80. Behl, Abhishek & Singh, Ramandeep & Pereira, Vijay & Laker, Benjamin, 2023. "Analysis of Industry 4.0 and circular economy enablers: A step towards resilient sustainable operations management," Technological Forecasting and Social Change, Elsevier, vol. 189(C).
    81. Xiaodan Zhu & Anh Ninh & Hui Zhao & Zhenming Liu, 2021. "Demand Forecasting with Supply‐Chain Information and Machine Learning: Evidence in the Pharmaceutical Industry," Production and Operations Management, Production and Operations Management Society, vol. 30(9), pages 3231-3252, September.
    82. Jaehyeon Ju & Daegon Cho & Jae Kyu Lee & Jae‐Hyeon Ahn, 2021. "Can It Clean Up Your Inbox? Evidence from South Korean Anti‐spam Legislation," Production and Operations Management, Production and Operations Management Society, vol. 30(8), pages 2636-2652, August.
    83. Osama Musa Ali Al-Darras & Cem Tanova, 2022. "From Big Data Analytics to Organizational Agility: What Is the Mechanism?," SAGE Open, , vol. 12(2), pages 21582440221, June.
    84. Choi, Tsan-Ming & Luo, Suyuan, 2019. "Data quality challenges for sustainable fashion supply chain operations in emerging markets: Roles of blockchain, government sponsors and environment taxes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 139-152.
    85. Niu, Baozhuang & Dai, Zhipeng & Liu, Yaoqi & Jin, Yong, 2022. "The role of Physical Internet in building trackable and sustainable logistics service supply chains: A game analysis," International Journal of Production Economics, Elsevier, vol. 247(C).
    86. Görkem Sariyer & Mustafa Gokalp Ataman & Sachin Kumar Mangla & Yigit Kazancoglu & Manoj Dora, 2023. "Big data analytics and the effects of government restrictions and prohibitions in the COVID-19 pandemic on emergency department sustainable operations," Annals of Operations Research, Springer, vol. 328(1), pages 1073-1103, September.
    87. Benzidia, Smail & Makaoui, Naouel & Bentahar, Omar, 2021. "The impact of big data analytics and artificial intelligence on green supply chain process integration and hospital environmental performance," Technological Forecasting and Social Change, Elsevier, vol. 165(C).
    88. Zenan Zhou & Xiang Wan, 2022. "Does the Sharing Economy Technology Disrupt Incumbents? Exploring the Influences of Mobile Digital Freight Matching Platforms on Road Freight Logistics Firms," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 117-137, January.
    89. Jing Chen & Tsan-Ming Choi & Yu Amy Xia & Xiaohang Yue, 2020. "Preface: advances of real-case based operations research," Annals of Operations Research, Springer, vol. 291(1), pages 1-4, August.
    90. Choi, Tsan-Ming & Guo, Shu & Liu, Na & Shi, Xiutian, 2019. "Values of food leftover sharing platforms in the sharing economy," International Journal of Production Economics, Elsevier, vol. 213(C), pages 23-31.
    91. Surajit Bag & Shivam Gupta & Lincoln Wood, 2022. "Big data analytics in sustainable humanitarian supply chain: barriers and their interactions," Annals of Operations Research, Springer, vol. 319(1), pages 721-760, December.
    92. Gupta, Shivam & Modgil, Sachin & Choi, Tsan-Ming & Kumar, Ajay & Antony, Jiju, 2023. "Influences of artificial intelligence and blockchain technology on financial resilience of supply chains," International Journal of Production Economics, Elsevier, vol. 261(C).
    93. Khan, Waqar Ahmed & Chung, Sai-Ho & Ma, Hoi-Lam & Liu, Shi Qiang & Chan, Ching Yuen, 2019. "A novel self-organizing constructive neural network for estimating aircraft trip fuel consumption," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 132(C), pages 72-96.
    94. Tsan-Ming Choi & Alexandre Dolgui & Dmitry Ivanov & Erwin Pesch, 2022. "OR and analytics for digital, resilient, and sustainable manufacturing 4.0," Annals of Operations Research, Springer, vol. 310(1), pages 1-6, March.
    95. Yu, Bin & Guo, Zhen & Asian, Sobhan & Wang, Huaizhu & Chen, Gang, 2019. "Flight delay prediction for commercial air transport: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 125(C), pages 203-221.
    96. Delke, Vincent & Schiele, Holger & Buchholz, Wolfgang & Kelly, Stephen, 2023. "Implementing Industry 4.0 technologies: Future roles in purchasing and supply management," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    97. Muzaffer Buyruk & Ertan Güner, 2022. "Personalization in airline revenue management: an overview and future outlook," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 129-139, April.
    98. Wu, Huamin & Li, Guo & Zheng, Hong & Zhang, Xuefeng, 2022. "Contingent channel strategies for combating brand spillover in a co-opetitive supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    99. Tsianikas, Stamatis & Yousefi, Nooshin & Zhou, Jian & Rodgers, Mark D. & Coit, David, 2021. "A storage expansion planning framework using reinforcement learning and simulation-based optimization," Applied Energy, Elsevier, vol. 290(C).
    100. Dubey, Rameshwar & Gunasekaran, Angappa & Childe, Stephen J. & Bryde, David J. & Giannakis, Mihalis & Foropon, Cyril & Roubaud, David & Hazen, Benjamin T., 2020. "Big data analytics and artificial intelligence pathway to operational performance under the effects of entrepreneurial orientation and environmental dynamism: A study of manufacturing organisations," International Journal of Production Economics, Elsevier, vol. 226(C).
    101. Choi, Tsan-Ming & Guo, Shu & Luo, Suyuan, 2020. "When blockchain meets social-media: Will the result benefit social media analytics for supply chain operations management?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    102. Simonetto, Marco & Sgarbossa, Fabio & Battini, Daria & Govindan, Kannan, 2022. "Closed loop supply chains 4.0: From risks to benefits through advanced technologies. A literature review and research agenda," International Journal of Production Economics, Elsevier, vol. 253(C).
    103. Wen, Xin & Siqin, Tana, 2020. "How do product quality uncertainties affect the sharing economy platforms with risk considerations? A mean-variance analysis," International Journal of Production Economics, Elsevier, vol. 224(C).
    104. ManMohan S. Sodhi & Zahra Seyedghorban & Hossein Tahernejad & Danny Samson, 2022. "Why emerging supply chain technologies initially disappoint: Blockchain, IoT, and AI," Production and Operations Management, Production and Operations Management Society, vol. 31(6), pages 2517-2537, June.
    105. Meng Li & Tao Li, 2022. "AI Automation and Retailer Regret in Supply Chains," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 83-97, January.
    106. Schoenherr, Tobias, 2023. "Supply chain management professionals’ proficiency in big data analytics: Antecedents and impact on performance," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 169(C).
    107. Rajendran, Suchithra & Srinivas, Sharan, 2020. "Air taxi service for urban mobility: A critical review of recent developments, future challenges, and opportunities," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    108. Acciarini, Chiara & Cappa, Francesco & Boccardelli, Paolo & Oriani, Raffaele, 2023. "How can organizations leverage big data to innovate their business models? A systematic literature review," Technovation, Elsevier, vol. 123(C).
    109. Rajesh Chidananda Reddy & Biplab Bhattacharjee & Debasisha Mishra & Anandadeep Mandal, 2022. "A systematic literature review towards a conceptual framework for enablers and barriers of an enterprise data science strategy," Information Systems and e-Business Management, Springer, vol. 20(1), pages 223-255, March.
    110. Chung, Sai-Ho, 2021. "Applications of smart technologies in logistics and transport: A review," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 153(C).
    111. Xunyi Wang & Meiling Jiang & Wencui Han & Liangfei Qiu, 2022. "Do Emotions Sell? The Impact of Emotional Expressions on Sales in the Space‐Sharing Economy," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 65-82, January.
    112. Chen, Jing & Pun, Hubert & Zhang, Qiao, 2023. "Eliminate demand information disadvantage in a supplier encroachment supply chain with information acquisition," European Journal of Operational Research, Elsevier, vol. 305(2), pages 659-673.
    113. Xue Wang & Jiayuan Zhang & Deqing Ma & Hao Sun, 2023. "Green Agricultural Products Supply Chain Subsidy Scheme with Green Traceability and Data-Driven Marketing of the Platform," IJERPH, MDPI, vol. 20(4), pages 1-29, February.
    114. Silbermayr, Lena, 2020. "A review of non-cooperative newsvendor games with horizontal inventory interactions," Omega, Elsevier, vol. 92(C).
    115. Long He & Sheng Liu & Zuo‐Jun Max Shen, 2022. "Smart urban transport and logistics: A business analytics perspective," Production and Operations Management, Production and Operations Management Society, vol. 31(10), pages 3771-3787, October.
    116. Wang, Yingjia & Lin, Jiaxin & Choi, Tsan-Ming, 2020. "Gray market and counterfeiting in supply chains: A review of the operations literature and implications to luxury industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    117. Ping-Chen Chang, 2022. "Reliability evaluation and big data analytics architecture for a stochastic flow network with time attribute," Annals of Operations Research, Springer, vol. 311(1), pages 3-18, April.
    118. Xiaoyan Xu & Suresh P. Sethi & Sai‐Ho Chung & Tsan‐Ming Choi, 2023. "Reforming global supply chain management under pandemics: The GREAT‐3Rs framework," Production and Operations Management, Production and Operations Management Society, vol. 32(2), pages 524-546, February.
    119. Xu, Xiaoping & Choi, Tsan-Ming, 2021. "Supply chain operations with online platforms under the cap-and-trade regulation: Impacts of using blockchain technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    120. Xuan Bi & Gediminas Adomavicius & William Li & Annie Qu, 2022. "Improving Sales Forecasting Accuracy: A Tensor Factorization Approach with Demand Awareness," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1644-1660, May.
    121. Choi, Tsan-Ming, 2020. "Innovative “Bring-Service-Near-Your-Home” operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the Messiah?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    122. Ivanov, Dmitry, 2020. "Predicting the impacts of epidemic outbreaks on global supply chains: A simulation-based analysis on the coronavirus outbreak (COVID-19/SARS-CoV-2) case," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    123. Roberto Del Gobbo, 2023. "I Big Data non "parlano da soli". Il ruolo dei modelli nella diffusione degli analytics per il management accounting," MANAGEMENT CONTROL, FrancoAngeli Editore, vol. 2023(1), pages 5-20.
    124. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    125. Tsan‐Ming Choi & Subodha Kumar & Xiaohang Yue & Hau‐Ling Chan, 2022. "Disruptive Technologies and Operations Management in the Industry 4.0 Era and Beyond," Production and Operations Management, Production and Operations Management Society, vol. 31(1), pages 9-31, January.
    126. 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.
    127. Zhe (James) Zhang & Shivendu Shivendu & Peng Wang, 2021. "Is Investment in Data Analytics Always Profitable? The Case of Third‐Party‐Online‐Promotion Marketplace," Production and Operations Management, Production and Operations Management Society, vol. 30(7), pages 2321-2337, July.
    128. Xu, Jinou & Pero, Margherita & Fabbri, Margherita, 2023. "Unfolding the link between big data analytics and supply chain planning," Technological Forecasting and Social Change, Elsevier, vol. 196(C).
    129. Ka Chung Ng & Ping Fan Ke & Mike K. P. So & Kar Yan Tam, 2023. "Augmenting fake content detection in online platforms: A domain adaptive transfer learning via adversarial training approach," Production and Operations Management, Production and Operations Management Society, vol. 32(7), pages 2101-2122, July.
    130. Eda Yücel & F. Sibel Salman & Burçin Bozkaya & Cemre Gökalp, 2020. "A data-driven optimization framework for routing mobile medical facilities," Annals of Operations Research, Springer, vol. 291(1), pages 1077-1102, August.
    131. Liu, Baolong & Wang, Weilong, 2023. "Live commerce retailing with online influencers: Two business models," International Journal of Production Economics, Elsevier, vol. 255(C).
    132. Ma, Hoi-Lam & Sun, Yige & Chung, Sai-Ho & Chan, Hing Kai, 2022. "Tackling uncertainties in aircraft maintenance routing: A review of emerging technologies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    133. Liu, Weihua & Yan, Xiaoyu & Li, Xiang & Wei, Wanying, 2020. "The impacts of market size and data-driven marketing on the sales mode selection in an Internet platform based supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).
    134. Li Cui & Hao Wu & Lin Wu & Ajay Kumar & Kim Hua Tan, 2023. "Investigating the relationship between digital technologies, supply chain integration and firm resilience in the context of COVID-19," Annals of Operations Research, Springer, vol. 327(2), pages 825-853, August.
    135. Vicky Ching Gu & Bin Zhou & Qing Cao & Jeffery Adams, 2021. "Exploring the relationship between supplier development, big data analytics capability, and firm performance," Annals of Operations Research, Springer, vol. 302(1), pages 151-172, July.
    136. Chimunhu, Prosper & Topal, Erkan & Ajak, Ajak Duany & Asad, Waqar, 2022. "A review of machine learning applications for underground mine planning and scheduling," Resources Policy, Elsevier, vol. 77(C).
    137. Claudia Schütze & Catherine Cleophas & Monideepa Tarafdar, 2020. "Revenue management systems as symbiotic analytics systems: insights from a field study," Business Research, Springer;German Academic Association for Business Research, vol. 13(3), pages 1007-1031, November.

  12. Jamie Fairbrother & Amanda Turner & Stein W. Wallace, 2018. "Scenario Generation for Single-Period Portfolio Selection Problems with Tail Risk Measures: Coping with High Dimensions and Integer Variables," INFORMS Journal on Computing, INFORMS, vol. 30(3), pages 472-491, August.
    See citations under working paper version above.
  13. Vit Prochazka & Stein W. Wallace, 2018. "Stochastic programs with binary distributions: structural properties of scenario trees and algorithms," Computational Management Science, Springer, vol. 15(3), pages 397-410, October.
    See citations under working paper version above.
  14. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.

    Cited by:

    1. Vidal, Thibaut & Laporte, Gilbert & Matl, Piotr, 2020. "A concise guide to existing and emerging vehicle routing problem variants," European Journal of Operational Research, Elsevier, vol. 286(2), pages 401-416.
    2. 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.
    3. Turan, Hasan Hüseyin & Jalalvand, Fatemeh & Elsawah, Sondoss & Ryan, Michael J., 2022. "A joint problem of strategic workforce planning and fleet renewal: With an application in defense," European Journal of Operational Research, Elsevier, vol. 296(2), pages 615-634.
    4. Liu, Zhimin & Qu, Shaojian & Goh, Mark & Wu, Zhong & Huang, Ripeng & Ma, Gang, 2020. "Two-stage mean-risk stochastic optimization model for port cold storage capacity under pelagic fishery yield uncertainty," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 541(C).
    5. Chao-Feng Gao & Zhi-Hua Hu, 2021. "Speed Optimization for Container Ship Fleet Deployment Considering Fuel Consumption," Sustainability, MDPI, vol. 13(9), pages 1-18, May.
    6. 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).
    7. 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.
    8. Pache, Hannah & Grafelmann, Michaela & Schwientek, Anne Kathrina & Jahn, Carlos, 2020. "Tactical planning in tramp shipping - A literature review," 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 281-308, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.

  15. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.

    Cited by:

    1. Irina Soloveva & Irina Mostovshchikova & Darya Baeva & Andrew Alola, 2022. "A Schematic Model for Implementing Industries High Risk Projects through the Agent of Human Capital," Sustainability, MDPI, vol. 14(18), pages 1-23, September.
    2. Fernanda Saidelles Bataglin & Daniela Dietz Viana & Carlos Torres Formoso, 2022. "Design Principles and Prescriptions for Planning and Controlling Engineer-to-Order Industrialized Building Systems," Sustainability, MDPI, vol. 14(24), pages 1-22, December.
    3. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    4. Alfnes, Erlend & Gosling, Jonathan & Naim, Mohamed & Dreyer, Heidi C., 2021. "Exploring systemic factors creating uncertainty in complex engineer-to-order supply chains: Case studies from Norwegian shipbuilding first tier suppliers," International Journal of Production Economics, Elsevier, vol. 240(C).
    5. Mile Katic & Renu Agarwal, 2018. "The Flexibility Paradox: Achieving Ambidexterity in High-Variety, Low-Volume Manufacturing," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 19(1), pages 69-86, March.
    6. Demin Dmitriy & Schwickerath Horst & Schwickerath Katharina, 2020. "Network planning of the publishing process for the issue of the magazine," Technology audit and production reserves, Socionet;Technology audit and production reserves, vol. 5(4(55)), pages 23-28.
    7. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    8. Neumann, Anas & Hajji, Adnene & Rekik, Monia & Pellerin, Robert, 2022. "A model for advanced planning systems dedicated to the Engineer-To-Order context," International Journal of Production Economics, Elsevier, vol. 252(C).
    9. Szwarc Eryk & Wikarek Jarosław, 2020. "Proactive Planning of Project Team Members’ Competences," Foundations of Management, Sciendo, vol. 12(1), pages 71-84, January.
    10. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    11. Dmitriy Demin & Horst Schwickerath & Katharina Schwickerath, 2020. "Network Planning Of The Publishing Process For The Issue Of The Magazine," Post-Print hal-03021325, HAL.
    12. Alfnes, Erlend & Gosling, Jonathan & Naim, Mohamed & Dreyer, Heidi C., 2023. "Rearticulating supply chain design and operation principles to mitigate uncertainty in the Norwegian engineer-to-order shipbuilding sector," International Journal of Production Economics, Elsevier, vol. 262(C).

  16. Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017. "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, vol. 134(C), pages 984-990.

    Cited by:

    1. Löschenbrand, Markus & Wei, Wei & Liu, Feng, 2018. "Hydro-thermal power market equilibrium with price-making hydropower producers," Energy, Elsevier, vol. 164(C), pages 377-389.
    2. Finn Roar Aune & Rolf Golombek, 2020. "Are carbon prices redundant in the 2030 EU climate and energy policy package?," Discussion Papers 940, Statistics Norway, Research Department.
    3. Gong, Chengzhu & Wu, Desheng & Gong, Nianjiao & Qi, Rui, 2020. "Multi-agent mixed complementary simulation of natural gas upstream market liberalization in China," Energy, Elsevier, vol. 200(C).

  17. 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.

    Cited by:

    1. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    2. Qinghe Sun & Li Chen & Mabel C. Chou & Qiang Meng, 2023. "Mitigating the financial risk behind emission cap compliance: A case in maritime transportation," Production and Operations Management, Production and Operations Management Society, vol. 32(1), pages 283-300, January.
    3. Arslan, Ayşe N. & Papageorgiou, Dimitri J., 2017. "Bulk ship fleet renewal and deployment under uncertainty: A multi-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 97(C), pages 69-96.
    4. Orestis Schinas & Niklas Bergmann, 2021. "The Short-Term Cost of Greening the Global Fleet," Sustainability, MDPI, vol. 13(16), pages 1-32, August.
    5. Wang, Tingsong & Tian, Xuecheng & Wang, Yadong, 2020. "Container slot allocation and dynamic pricing of time-sensitive cargoes considering port congestion and uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 144(C).
    6. Wang, Yadong & Meng, Qiang, 2021. "Optimizing freight rate of spot market containers with uncertainties in shipping demand and available ship capacity," Transportation Research Part B: Methodological, Elsevier, vol. 146(C), pages 314-332.
    7. Skålnes, Jørgen & Fagerholt, Kjetil & Pantuso, Giovanni & Wang, Xin, 2020. "Risk control in maritime shipping investments," Omega, Elsevier, vol. 96(C).
    8. Gu, Yewen & Wallace, Stein W. & Wang, Xin, 2018. "Can an Emission Trading Scheme really reduce CO2 emissions in the short term? Evidence from a maritime fleet composition and deployment model," Discussion Papers 2018/10, Norwegian School of Economics, Department of Business and Management Science.
    9. Jone R. Hansen & Kjetil Fagerholt & Frank Meisel & Jørgen G. Rakke, 2019. "Planning interrelated voyages with separation requirements in roll-on roll-off shipping," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(5), pages 633-659, December.
    10. Stålhane, Magnus & Halvorsen-Weare, Elin E. & Nonås, Lars Magne & Pantuso, Giovanni, 2019. "Optimizing vessel fleet size and mix to support maintenance operations at offshore wind farms," European Journal of Operational Research, Elsevier, vol. 276(2), pages 495-509.
    11. 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).

  18. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.

    Cited by:

    1. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    2. Alexandra Anderluh & Rune Larsen & Vera C. Hemmelmayr & Pamela C. Nolz, 2020. "Impact of travel time uncertainties on the solution cost of a two-echelon vehicle routing problem with synchronization," Flexible Services and Manufacturing Journal, Springer, vol. 32(4), pages 806-828, December.
    3. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    4. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    5. Mahadevan, B. & Hazra, Jishnu & Jain, Tarun, 2017. "Services outsourcing under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 257(2), pages 456-467.

  19. Pedro Crespo Del Granado & Stein Wallace & Zhan Pang, 2016. "The impact of wind uncertainty on the strategic valuation of distributed electricity storage," Computational Management Science, Springer, vol. 13(1), pages 5-27, January.

    Cited by:

    1. Ida Bakke & Stein-Erik Fleten & Lars Ivar Hagfors & Verena Hagspiel & Beate Norheim & Sonja Wogrin, 2016. "Investment in electric energy storage under uncertainty: a real options approach," Computational Management Science, Springer, vol. 13(3), pages 483-500, July.
    2. Iver Bakken Sperstad & Magnus Korpås, 2019. "Energy Storage Scheduling in Distribution Systems Considering Wind and Photovoltaic Generation Uncertainties," Energies, MDPI, vol. 12(7), pages 1-24, March.
    3. Hashemipour, Naser & Crespo del Granado, Pedro & Aghaei, Jamshid, 2021. "Dynamic allocation of peer-to-peer clusters in virtual local electricity markets: A marketplace for EV flexibility," Energy, Elsevier, vol. 236(C).

  20. Crespo Del Granado, Pedro & Pang, Zhan & Wallace, Stein W., 2016. "Synergy of smart grids and hybrid distributed generation on the value of energy storage," Applied Energy, Elsevier, vol. 170(C), pages 476-488.

    Cited by:

    1. Chen, Long Xiang & Xie, Mei Na & Zhao, Pan Pan & Wang, Feng Xiang & Hu, Peng & Wang, Dong Xiang, 2018. "A novel isobaric adiabatic compressed air energy storage (IA-CAES) system on the base of volatile fluid," Applied Energy, Elsevier, vol. 210(C), pages 198-210.
    2. Badrinarayanan, Rajagopalan & Tseng, King Jet & Soong, Boon Hee & Wei, Zhongbao, 2017. "Modelling and control of vanadium redox flow battery for profile based charging applications," Energy, Elsevier, vol. 141(C), pages 1479-1488.
    3. Noussan, Michel, 2018. "Performance based approach for electricity generation in smart grids," Applied Energy, Elsevier, vol. 220(C), pages 231-241.
    4. Ahmad Alzahrani & Senthil Kumar Ramu & Gunapriya Devarajan & Indragandhi Vairavasundaram & Subramaniyaswamy Vairavasundaram, 2022. "A Review on Hydrogen-Based Hybrid Microgrid System: Topologies for Hydrogen Energy Storage, Integration, and Energy Management with Solar and Wind Energy," Energies, MDPI, vol. 15(21), pages 1-32, October.
    5. Shan, Kui & Fan, Cheng & Wang, Jiayuan, 2019. "Model predictive control for thermal energy storage assisted large central cooling systems," Energy, Elsevier, vol. 179(C), pages 916-927.
    6. Mahdi Azimian & Vahid Amir & Reza Habibifar & Hessam Golmohamadi, 2021. "Probabilistic Optimization of Networked Multi-Carrier Microgrids to Enhance Resilience Leveraging Demand Response Programs," Sustainability, MDPI, vol. 13(11), pages 1-30, May.
    7. Cornélusse, Bertrand & Savelli, Iacopo & Paoletti, Simone & Giannitrapani, Antonio & Vicino, Antonio, 2019. "A community microgrid architecture with an internal local market," Applied Energy, Elsevier, vol. 242(C), pages 547-560.
    8. Xi, Lei & Yu, Tao & Yang, Bo & Zhang, Xiaoshun & Qiu, Xuanyu, 2016. "A wolf pack hunting strategy based virtual tribes control for automatic generation control of smart grid," Applied Energy, Elsevier, vol. 178(C), pages 198-211.
    9. Kolasa, Piotr & Janowski, Mirosław, 2017. "Study of possibilities to store energy virtually in a grid (VESS) with the use of smart metering," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1513-1517.
    10. Baeten, Brecht & Confrey, Thomas & Pecceu, Sébastien & Rogiers, Frederik & Helsen, Lieve, 2016. "A validated model for mixing and buoyancy in stratified hot water storage tanks for use in building energy simulations," Applied Energy, Elsevier, vol. 172(C), pages 217-229.
    11. Obara, Shin'ya & Hamanaka, Ryo & El-Sayed, Abeer Galal, 2019. "Design methods for microgrids to address seasonal energy availability – A case study of proposed Showa Antarctic Station retrofits," Applied Energy, Elsevier, vol. 236(C), pages 711-727.
    12. Wang, Zhimin & Gu, Chenghong & Li, Furong, 2018. "Flexible operation of shared energy storage at households to facilitate PV penetration," Renewable Energy, Elsevier, vol. 116(PA), pages 438-446.
    13. Zhang, Xinjing & Chen, Haisheng & Xu, Yujie & Li, Wen & He, Fengjuan & Guo, Huan & Huang, Ye, 2017. "Distributed generation with energy storage systems: A case study," Applied Energy, Elsevier, vol. 204(C), pages 1251-1263.
    14. Minjeong Sim & Dongjun Suh & Marc-Oliver Otto, 2021. "Multi-Objective Particle Swarm Optimization-Based Decision Support Model for Integrating Renewable Energy Systems in a Korean Campus Building," Sustainability, MDPI, vol. 13(15), pages 1-18, August.
    15. Fridgen, Gilbert & Kahlen, Micha & Ketter, Wolfgang & Rieger, Alexander & Thimmel, Markus, 2018. "One rate does not fit all: An empirical analysis of electricity tariffs for residential microgrids," Applied Energy, Elsevier, vol. 210(C), pages 800-814.
    16. Cruz, Marco R.M. & Fitiwi, Desta Z. & Santos, Sérgio F. & Catalão, João P.S., 2018. "A comprehensive survey of flexibility options for supporting the low-carbon energy future," Renewable and Sustainable Energy Reviews, Elsevier, vol. 97(C), pages 338-353.
    17. Adefarati, T. & Bansal, R.C., 2017. "Reliability assessment of distribution system with the integration of renewable distributed generation," Applied Energy, Elsevier, vol. 185(P1), pages 158-171.
    18. Saboori, Hedayat & Hemmati, Reza & Ghiasi, Seyyed Mohammad Sadegh & Dehghan, Shahab, 2017. "Energy storage planning in electric power distribution networks – A state-of-the-art review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 79(C), pages 1108-1121.
    19. Saif Jamal & Nadia M. L. Tan & Jagadeesh Pasupuleti, 2021. "A Review of Energy Management and Power Management Systems for Microgrid and Nanogrid Applications," Sustainability, MDPI, vol. 13(18), pages 1-31, September.
    20. Andreolli, Francesca & D’Alpaos, Chiara & Moretto, Michele, 2022. "Valuing investments in domestic PV-Battery Systems under uncertainty," Energy Economics, Elsevier, vol. 106(C).
    21. Nojavan, Sayyad & Zare, Kazem & Mohammadi-Ivatloo, Behnam, 2017. "Optimal stochastic energy management of retailer based on selling price determination under smart grid environment in the presence of demand response program," Applied Energy, Elsevier, vol. 187(C), pages 449-464.
    22. Lewandowska-Bernat, Anna & Desideri, Umberto, 2018. "Opportunities of power-to-gas technology in different energy systems architectures," Applied Energy, Elsevier, vol. 228(C), pages 57-67.
    23. Ayele, Getnet Tadesse & Haurant, Pierrick & Laumert, Björn & Lacarrière, Bruno, 2018. "An extended energy hub approach for load flow analysis of highly coupled district energy networks: Illustration with electricity and heating," Applied Energy, Elsevier, vol. 212(C), pages 850-867.
    24. Tadas Zdankus & Jurgita Cerneckiene & Andrius Jurelionis & Juozas Vaiciunas, 2016. "Experimental Study of a Small Scale Hydraulic System for Mechanical Wind Energy Conversion into Heat," Sustainability, MDPI, vol. 8(7), pages 1-18, July.
    25. Sepideh Rezaeeian & Narges Bayat & Abbas Rabiee & Saman Nikkhah & Alireza Soroudi, 2022. "Optimal Scheduling of Reconfigurable Microgrids in Both Grid-Connected and Isolated Modes Considering the Uncertainty of DERs," Energies, MDPI, vol. 15(15), pages 1-18, July.
    26. Rae, Callum & Kerr, Sandy & Maroto-Valer, M. Mercedes, 2020. "Upscaling smart local energy systems: A review of technical barriers," Renewable and Sustainable Energy Reviews, Elsevier, vol. 131(C).
    27. Amr Saleh & Walid A. Omran & Hany M. Hasanien & Marcos Tostado-Véliz & Abdulaziz Alkuhayli & Francisco Jurado, 2022. "Manta Ray Foraging Optimization for the Virtual Inertia Control of Islanded Microgrids Including Renewable Energy Sources," Sustainability, MDPI, vol. 14(7), pages 1-19, April.
    28. Zhang, Kai & Li, Jingzhi & He, Zhubin & Yan, Wanfeng, 2018. "Microgrid energy dispatching for industrial zones with renewable generations and electric vehicles via stochastic optimization and learning," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 501(C), pages 356-369.
    29. Lüth, Alexandra & Zepter, Jan Martin & Crespo del Granado, Pedro & Egging, Ruud, 2018. "Local electricity market designs for peer-to-peer trading: The role of battery flexibility," Applied Energy, Elsevier, vol. 229(C), pages 1233-1243.
    30. Fatima Zahra Zahraoui & Mehdi Et-taoussi & Houssam Eddine Chakir & Hamid Ouadi & Brahim Elbhiri, 2023. "Bellman–Genetic Hybrid Algorithm Optimization in Rural Area Microgrids," Energies, MDPI, vol. 16(19), pages 1-26, September.
    31. Zheng, Yingying & Jenkins, Bryan M. & Kornbluth, Kurt & Kendall, Alissa & Træholt, Chresten, 2018. "Optimal design and operating strategies for a biomass-fueled combined heat and power system with energy storage," Energy, Elsevier, vol. 155(C), pages 620-629.
    32. Xun Yang & Yong Wang & Teng Xiong, 2017. "Numerical and Experimental Study on a Solar Water Heating System in Lhasa," Energies, MDPI, vol. 10(7), pages 1-13, July.
    33. Tiezhou Wu & Xiao Shi & Li Liao & Chuanjian Zhou & Hang Zhou & Yuehong Su, 2019. "A Capacity Configuration Control Strategy to Alleviate Power Fluctuation of Hybrid Energy Storage System Based on Improved Particle Swarm Optimization," Energies, MDPI, vol. 12(4), pages 1-11, February.
    34. Pereira, André Alves & Pereira, Miguel Alves, 2023. "Energy storage strategy analysis based on the Choquet multi-criteria preference aggregation model: The Portuguese case," Socio-Economic Planning Sciences, Elsevier, vol. 85(C).
    35. Santos, Sérgio F. & Fitiwi, Desta Z. & Cruz, Marco R.M. & Cabrita, Carlos M.P. & Catalão, João P.S., 2017. "Impacts of optimal energy storage deployment and network reconfiguration on renewable integration level in distribution systems," Applied Energy, Elsevier, vol. 185(P1), pages 44-55.
    36. Adrian Chmielewski & Jakub Możaryn & Piotr Piórkowski & Krzysztof Bogdziński, 2018. "Comparison of NARX and Dual Polarization Models for Estimation of the VRLA Battery Charging/Discharging Dynamics in Pulse Cycle," Energies, MDPI, vol. 11(11), pages 1-28, November.
    37. Mohammadi, Mohammad & Noorollahi, Younes & Mohammadi-ivatloo, Behnam & Yousefi, Hossein, 2017. "Energy hub: From a model to a concept – A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 80(C), pages 1512-1527.
    38. Iris, Çağatay & Lam, Jasmine Siu Lee, 2021. "Optimal energy management and operations planning in seaports with smart grid while harnessing renewable energy under uncertainty," Omega, Elsevier, vol. 103(C).
    39. Laugs, Gideon A.H. & Benders, René M.J. & Moll, Henri C., 2020. "Balancing responsibilities: Effects of growth of variable renewable energy, storage, and undue grid interaction," Energy Policy, Elsevier, vol. 139(C).
    40. Wang, Zhiwen & Xiong, Wei & Ting, David S.-K. & Carriveau, Rupp & Wang, Zuwen, 2016. "Conventional and advanced exergy analyses of an underwater compressed air energy storage system," Applied Energy, Elsevier, vol. 180(C), pages 810-822.
    41. Adefarati, T. & Bansal, R.C., 2019. "Reliability, economic and environmental analysis of a microgrid system in the presence of renewable energy resources," Applied Energy, Elsevier, vol. 236(C), pages 1089-1114.
    42. Mina Farmanbar & Kiyan Parham & Øystein Arild & Chunming Rong, 2019. "A Widespread Review of Smart Grids Towards Smart Cities," Energies, MDPI, vol. 12(23), pages 1-18, November.

  21. Tsan-Ming Choi & Stein W Wallace & Yulan Wang, 2016. "Risk management and coordination in service supply chains: information, logistics and outsourcing," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(2), pages 159-164, February.

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    1. Sanjoy Kumar Paul & Sobhan Asian & Mark Goh & S. Ali Torabi, 2019. "Managing sudden transportation disruptions in supply chains under delivery delay and quantity loss," Annals of Operations Research, Springer, vol. 273(1), pages 783-814, February.
    2. Awasthy, Prakash & Hazra, Jishnu, 2020. "Collaboration under outcome-based contracts for information technology services," European Journal of Operational Research, Elsevier, vol. 286(1), pages 350-359.
    3. Chang, Shuhua & Li, Anqi & Wang, Xinyu & Zhang, Jiayue, 2023. "Optimal combination of platform channel contract and guarantee financing strategy in e-commerce market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 172(C).
    4. Mohammed Alkahtani, 2022. "Mathematical Modelling of Inventory and Process Outsourcing for Optimization of Supply Chain Management," Mathematics, MDPI, vol. 10(7), pages 1-27, April.
    5. Yingxue Zhao & Jiajia Nie & Jing Shao, 2017. "Business strategy analysis for an advertising service supply chain: a study with the publication industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1512-1520, December.
    6. Wen-Kuo Chen & Venkateswarlu Nalluri & Suresh Ma & Mei-Min Lin & Ching-Torng Lin, 2021. "An Exploration of the Critical Risk Factors in Sustainable Telecom Services: An Analysis of Indian Telecom Industries," Sustainability, MDPI, vol. 13(2), pages 1-22, January.
    7. Xigang Yuan & Wenwen Sheng & Min Wang & Dalin Zhang, 2023. "Logistics Service Selection Strategy of Green Manufacturers in Green Low-Carbon Supply Chain," IJERPH, MDPI, vol. 20(4), pages 1-17, February.
    8. Wang, Di & Liu, Weihua & Shen, Xinran & Wei, Wanying, 2019. "Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 293-311.
    9. Zhenjie Wang & Jiewei Zhang & Hafeez Ullah, 2023. "Exploring the Multidimensional Perspective of Retail Investors’ Attention: The Mediating Influence of Corporate Governance and Information Disclosure on Corporate Environmental Performance in China," Sustainability, MDPI, vol. 15(15), pages 1-33, August.
    10. Mariusz Kmiecik, 2022. "Logistics Coordination Based on Inventory Management and Transportation Planning by Third-Party Logistics (3PL)," Sustainability, MDPI, vol. 14(13), pages 1-19, July.
    11. Ozgur M. Araz & Fernando A. Wilson & Jim P. Stimpson, 2020. "Complex systems modeling for evaluating potential impact of traffic safety policies: a case on drug-involved fatal crashes," Annals of Operations Research, Springer, vol. 291(1), pages 37-58, August.
    12. Rahimi-Ghahroodi, S. & Al Hanbali, A. & Zijm, W.H.M. & Timmer, J.B., 2019. "Emergency supply contracts for a service provider with limited local resources," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 445-460.
    13. Stamolampros, Panagiotis & Korfiatis, Nikolaos, 2019. "Airline service quality and economic factors: An ARDL approach on US airlines," Journal of Air Transport Management, Elsevier, vol. 77(C), pages 24-31.
    14. Niu, Baozhuang & Mu, Zihao, 2020. "Sustainable efforts, procurement outsourcing, and channel co-opetition in emerging markets," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    15. Peng Jiang & Yi-Chung Hu & Ghi-Feng Yen & Hang Jiang & Yu-Jing Chiu, 2018. "Using a Novel Grey DANP Model to Identify Interactions between Manufacturing and Logistics Industries in China," Sustainability, MDPI, vol. 10(10), pages 1-20, September.
    16. Yaoguang Zhong & Fangfang Guo & Zhiqiang Wang & Huajun Tang, 2019. "Coordination Analysis of Revenue Sharing in E-Commerce Logistics Service Supply Chain With Cooperative Distribution," SAGE Open, , vol. 9(3), pages 21582440198, August.
    17. Wang, Jianxin & Lim, Ming K. & Zhan, Yuanzhu & Wang, XiaoFeng, 2020. "An intelligent logistics service system for enhancing dispatching operations in an IoT environment," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 135(C).
    18. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    19. Peng Jiang & Yi-Chung Hu & Ghi-Feng Yen, 2017. "Applying Grey Relational Analysis to Find Interactions between Manufacturing and Logistics Industries in Taiwan," Advances in Management and Applied Economics, SCIENPRESS Ltd, vol. 7(3), pages 1-2.
    20. Ma, Hoi-Lam & Wong, Collin Wai-Hung & Leung, Lawrence C. & Chung, Sai-Ho, 2020. "Facility sharing in business-to-business model: A real case study for container terminal operators in Hong Kong port," International Journal of Production Economics, Elsevier, vol. 221(C).
    21. Lou, Yaqi & Feng, Lipan & He, Shuguang & He, Zhen & Zhao, Xiukun, 2020. "Logistics service outsourcing choices in a retailer-led supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    22. Mahadevan, B. & Hazra, Jishnu & Jain, Tarun, 2017. "Services outsourcing under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 257(2), pages 456-467.

  22. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.

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    1. Okoroigwe, Edmund & Madhlopa, Amos, 2016. "An integrated combined cycle system driven by a solar tower: A review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 57(C), pages 337-350.
    2. Hongyan Wang & Min Huang & Hongfeng Wang, 2022. "Fourth-Party Logistics Environmental Compliance Management: Investment and Logistics Audit," Sustainability, MDPI, vol. 14(16), pages 1-20, August.
    3. Tsionas, Efthymios & Assaf, A. George & Gillen, David & Mattila, Anna S., 2017. "Modeling technical and service efficiency," Transportation Research Part B: Methodological, Elsevier, vol. 96(C), pages 113-125.
    4. Wang, Xin & Huang, George Q., 2021. "When and how to share first-mile parcel collection service," European Journal of Operational Research, Elsevier, vol. 288(1), pages 153-169.
    5. Deligiannis, Michalis & Liberopoulos, George & Benioudakis, Myron, 2023. "Dynamic supplier competition and cooperation for buyer loyalty on service," International Journal of Production Economics, Elsevier, vol. 255(C).
    6. Ivanov, Dmitry & Dolgui, Alexandre & Sokolov, Boris, 2022. "Cloud supply chain: Integrating Industry 4.0 and digital platforms in the “Supply Chain-as-a-Service”," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    7. Santanu Mandal & Souvik Roy & G. Amar Raju, 2016. "Tourism supply chain agility: an empirical examination using resource-based view," International Journal of Business Forecasting and Marketing Intelligence, Inderscience Enterprises Ltd, vol. 2(2), pages 151-173.
    8. Weihua Liu & Enze Bai & Liwei Liu & Wanying Wei, 2017. "A Framework of Sustainable Service Supply Chain Management: A Literature Review and Research Agenda," Sustainability, MDPI, vol. 9(3), pages 1-25, March.
    9. Mei, Qihuang & Li, Jianbin & Ursavas, Evrim & Zhu, Stuart X. & Luo, Xiaomeng, 2021. "Freight transportation planning in platform service supply chain considering carbon emissions," International Journal of Production Economics, Elsevier, vol. 240(C).
    10. Awasthy, Prakash & Hazra, Jishnu, 2020. "Collaboration under outcome-based contracts for information technology services," European Journal of Operational Research, Elsevier, vol. 286(1), pages 350-359.
    11. Antonello Cammarano & Vincenzo Varriale & Francesca Michelino & Mauro Caputo, 2023. "Blockchain as enabling factor for implementing RFID and IoT technologies in VMI: a simulation on the Parmigiano Reggiano supply chain," Operations Management Research, Springer, vol. 16(2), pages 726-754, June.
    12. Mohammed Alkahtani, 2022. "Mathematical Modelling of Inventory and Process Outsourcing for Optimization of Supply Chain Management," Mathematics, MDPI, vol. 10(7), pages 1-27, April.
    13. Yingxue Zhao & Jiajia Nie & Jing Shao, 2017. "Business strategy analysis for an advertising service supply chain: a study with the publication industry," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 68(12), pages 1512-1520, December.
    14. Zhong-Zhong Jiang & Na He & Xuwei Qin & Minghe Sun & Pengfei Wang, 2022. "Optimizing production and maintenance for the service-oriented manufacturing supply chain," Annals of Operations Research, Springer, vol. 316(1), pages 33-58, September.
    15. Shen, Bin & Xu, Xiaoyan & Chan, Hau Ling & Choi, Tsan-Ming, 2021. "Collaborative innovation in supply chain systems: Value creation and leadership structure," International Journal of Production Economics, Elsevier, vol. 235(C).
    16. Shen, Bin & Xu, Xiaoyan & Guo, Shu, 2019. "The impacts of logistics services on short life cycle products in a global supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 153-167.
    17. Robert Suurmond & Larry J. Menor & Finn Wynstra, 2022. "Examining service triad operations: Formation, functioning, and feedback exchanges," Production and Operations Management, Production and Operations Management Society, vol. 31(8), pages 3352-3370, August.
    18. Jun Zhao, 2022. "Will the community O2O service supply channel benefit the elderly healthcare service supply chain?," Electronic Commerce Research, Springer, vol. 22(4), pages 1617-1650, December.
    19. Zhai, Yue & Choi, Tsan-Ming & Shao, Saijun & Xu, Su Xiu & Huang, George Q., 2020. "Spatial-temporal hedging coordination in prefabricated housing production," International Journal of Production Economics, Elsevier, vol. 229(C).
    20. Huang, Min & Tu, Jun & Chao, Xiuli & Jin, Delong, 2019. "Quality risk in logistics outsourcing: A fourth party logistics perspective," European Journal of Operational Research, Elsevier, vol. 276(3), pages 855-879.
    21. Hao Liu & Haodong Chen & Hengyi Zhang & Haibin Liu & Xingwang Yu & Shiqing Zhang, 2022. "Contract Design of Logistics Service Supply Chain Based on Smart Transformation," Sustainability, MDPI, vol. 14(10), pages 1-17, May.
    22. Basu, Arnab & Jain, Tarun & Hazra, Jishnu, 2018. "Supplier selection under production learning and process improvements," International Journal of Production Economics, Elsevier, vol. 204(C), pages 411-420.
    23. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    24. Syed Asif Raza, 2022. "A bibliometric analysis of pricing models in supply chain," Journal of Revenue and Pricing Management, Palgrave Macmillan, vol. 21(2), pages 228-251, April.
    25. Fahimeh Aliakbari Nouri & Mohsen Shafiei Nikabadi & Laya Olfat, 2019. "The Role of Supply Chain Features in the Effectiveness of Sustainability Practices in the Service Supply Chain: Application of Fuzzy Rule-Based System," International Journal of Information Technology & Decision Making (IJITDM), World Scientific Publishing Co. Pte. Ltd., vol. 18(03), pages 867-899, May.
    26. Baojun Yang & Bo Yuan & Ning Yang & Yan Liu & Ruiqi Jia & Yongyan Wang & Ting Miao & Jianxu Liu & Songsak Sriboonchitta, 2022. "Effect of Relationship Quality in Collaboration and Innovation of Agricultural Service Supply Chain under Omni-Channel Model," Agriculture, MDPI, vol. 12(11), pages 1-14, November.
    27. Vanessa Yanes-Estévez & Ana María García-Pérez & Juan Ramón Oreja-Rodríguez, 2018. "The Strategic Behaviour of SMEs," Administrative Sciences, MDPI, vol. 8(4), pages 1-21, October.
    28. Wang, Di & Liu, Weihua & Shen, Xinran & Wei, Wanying, 2019. "Service order allocation under uncertain demand: Risk aversion, peer competition, and relationship strength," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 130(C), pages 293-311.
    29. Robert Engel & Pablo Fernandez & Antonio Ruiz-Cortes & Aly Megahed & Juan Ojeda-Perez, 2022. "SLA-aware operational efficiency in AI-enabled service chains: challenges ahead," Information Systems and e-Business Management, Springer, vol. 20(1), pages 199-221, March.
    30. Ya-Jun Cai & Yingjia Wang & Juzhi Zhang, 2020. "Enhancing e-platform business by customer service systems: a multi-methodological case study on Ali Wangwang instant message’s impacts on TaoBao," Annals of Operations Research, Springer, vol. 291(1), pages 59-81, August.
    31. H. Neil Geismar & Yiwei Huang & Suresh D. Pillai & Chelliah Sriskandarajah & Seokjun Youn, 2020. "Location‐Routing with Conflicting Objectives: Coordinating eBeam Phytosanitary Treatment and Distribution of Mexican Import Commodities," Production and Operations Management, Production and Operations Management Society, vol. 29(6), pages 1506-1531, June.
    32. Chen, Ji & Huang, Jiayan & Su, Weihua & Štreimikienė, Dalia & Baležentis, Tomas, 2021. "The challenges of COVID-19 control policies for sustainable development of business: Evidence from service industries," Technology in Society, Elsevier, vol. 66(C).
    33. 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).
    34. Xiaowei Zhu, 2017. "Outsourcing management under various demand Information Sharing scenarios," Annals of Operations Research, Springer, vol. 257(1), pages 449-467, October.
    35. Ren, Shuyun & Choi, Tsan-Ming & Lee, Ka-Man & Lin, Lei, 2020. "Intelligent service capacity allocation for cross-border-E-commerce related third-party-forwarding logistics operations: A deep learning approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 134(C).
    36. Rahimi-Ghahroodi, S. & Al Hanbali, A. & Zijm, W.H.M. & Timmer, J.B., 2019. "Emergency supply contracts for a service provider with limited local resources," Reliability Engineering and System Safety, Elsevier, vol. 189(C), pages 445-460.
    37. Boon-itt, Sakun & Wong, Chee Yew & Wong, Christina W.Y., 2017. "Service supply chain management process capabilities: Measurement development," International Journal of Production Economics, Elsevier, vol. 193(C), pages 1-11.
    38. Siqin, Tana & Choi, Tsan-Ming & Chung, Sai-Ho, 2022. "Optimal E-tailing channel structure and service contracting in the platform era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
    39. Wang, Wei & Feng, Lipan & Li, Yongjian & Xu, Fangchao & Deng, Qianzhou, 2020. "Role of financial leasing in a capital-constrained service supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 143(C).
    40. Hu, Yihong & Qu, Shengnan & Li, Guo & Sethi, Suresh P., 2021. "Power structure and channel integration strategy for online retailers," European Journal of Operational Research, Elsevier, vol. 294(3), pages 951-964.
    41. Xu, Xiaoyan & Choi, Tsan-Ming & Chung, Sai-Ho & Guo, Shu, 2023. "Collaborative-commerce in supply chains: A review and classification of analytical models," International Journal of Production Economics, Elsevier, vol. 263(C).
    42. Elena PUICA, 2022. "Efficiency and Performance of Big Data Analytics for Supply Chain Management," Informatica Economica, Academy of Economic Studies - Bucharest, Romania, vol. 26(1), pages 16-24.
    43. Baozhuang Niu & Zhipeng Dai & Lei Chen, 2022. "Information leakage in a cross-border logistics supply chain considering demand uncertainty and signal inference," Annals of Operations Research, Springer, vol. 309(2), pages 785-816, February.
    44. Lin, Yong & Chen, Anlan & Yin, Yanhai & Li, Qing & Zhu, Qiaoni & Luo, Jing, 2021. "A framework for sustainable management of the platform service supply chain: An empirical study of the logistics sector in China," International Journal of Production Economics, Elsevier, vol. 235(C).
    45. Mitręga, Maciej & Choi, Tsan-Ming, 2021. "How small-and-medium transportation companies handle asymmetric customer relationships under COVID-19 pandemic: A multi-method study," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 148(C).
    46. Nishat Alam Choudhary & Shalabh Singh & Tobias Schoenherr & M. Ramkumar, 2023. "Risk assessment in supply chains: a state-of-the-art review of methodologies and their applications," Annals of Operations Research, Springer, vol. 322(2), pages 565-607, March.
    47. Di Wang & Weihua Liu & Yanjie Liang & Shuang Wei, 2023. "Decision optimization in service supply chain: the impact of demand and supply-driven data value and altruistic behavior," Annals of Operations Research, Springer, vol. 324(1), pages 971-992, May.
    48. Xiaolong Guo & Ben Li & Yan Liu & Liang Liang, 2017. "Eliminating the Inconvenience of Carrying: Optimal Pricing of Delivery Service for Retailers," Service Science, INFORMS, vol. 9(3), pages 181-191, September.
    49. Sarat K. Jena & Purushottam L. Meena, 2019. "Price and Service Competition in a Tourism Supply Chain," Service Science, INFORMS, vol. 11(4), pages 279-291, December.
    50. Liu, Huiyuan & Perera, Sandun C. & Wang, Jian-Jun, 2023. "Does the physicians’ medical team joining behavior affect their performance on an online healthcare platform? Evidence from two quasi-experiments," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    51. Jifeng Cao & Cheng Ma, 2022. "Procurement Strategies and Auction Mechanism for Heterogeneous Service Providers in a Service Supply Chain," Sustainability, MDPI, vol. 14(15), pages 1-36, July.
    52. Carayannis, Elias G. & Grigoroudis, Evangelos & Wurth, Bernd, 2022. "OR for entrepreneurial ecosystems: A problem-oriented review and agenda," European Journal of Operational Research, Elsevier, vol. 300(3), pages 791-808.
    53. Zhu, Xiaowei, 2016. "Managing the risks of outsourcing: Time, quality and correlated costs," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 90(C), pages 121-133.
    54. Shi-Woei Lin & Januardi Januardi, 2023. "Two-period pricing and utilization decisions in a dual-channel service-only 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. 31(2), pages 605-635, June.
    55. Qin, Xuwei & Shao, Lusheng & Jiang, Zhong-Zhong, 2020. "Contract design for equipment after-sales service with business interruption insurance," European Journal of Operational Research, Elsevier, vol. 284(1), pages 176-187.
    56. Fang Dong & Chengdong Shi & Weitong Yu, 2022. "Coordinated Decision-Making in Embedded Supply Chain from a Sustainable Development Perspective," Sustainability, MDPI, vol. 15(1), pages 1-19, December.
    57. Tran, Thi Huong & Kummer, Sebastian, 2015. "Service Supply Chain Risk Management: Distinctions from Manufacturing," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Blecker, Thorsten & Ringle, Christian M. (ed.), Innovations and Strategies for Logistics and Supply Chains: Technologies, Business Models and Risk Management. Proceedings of the Hamburg Internationa, volume 20, pages 503-532, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    58. Hamidi, Maryam & Liao, Haitao & Szidarovszky, Ferenc, 2016. "Non-cooperative and cooperative game-theoretic models for usage-based lease contracts," European Journal of Operational Research, Elsevier, vol. 255(1), pages 163-174.
    59. Xu, Man & Tang, Wansheng & Zhao, Ruiqing, 2023. "Should reputable e-retailers undertake service activities along with sales?," Journal of Retailing and Consumer Services, Elsevier, vol. 74(C).
    60. Wang, Yingjia & Lin, Jiaxin & Choi, Tsan-Ming, 2020. "Gray market and counterfeiting in supply chains: A review of the operations literature and implications to luxury industries," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    61. Choi, Tsan-Ming, 2020. "Innovative “Bring-Service-Near-Your-Home” operations under Corona-Virus (COVID-19/SARS-CoV-2) outbreak: Can logistics become the Messiah?," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 140(C).
    62. Matsui, Kenji, 2017. "When should a manufacturer set its direct price and wholesale price in dual-channel supply chains?," European Journal of Operational Research, Elsevier, vol. 258(2), pages 501-511.
    63. Bowei Xu & Junjun Li & Yongsheng Yang & Huafeng Wu & Octavian Postolache, 2019. "Model and Resilience Analysis for Handling Chain Systems in Container Ports," Complexity, Hindawi, vol. 2019, pages 1-12, July.
    64. David Bergman & Andre A. Cire, 2018. "Discrete Nonlinear Optimization by State-Space Decompositions," Management Science, INFORMS, vol. 64(10), pages 4700-4720, October.
    65. Rezapour, Shabnam & Allen, Janet K. & Mistree, Farrokh, 2016. "Reliable product-service supply chains for repairable products," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 95(C), pages 299-321.
    66. Ren, Ting-hai & Zeng, Neng-min & Wang, Da-fei & Yuan, Kai-fu, 2023. "Authorization or encroachment: Effects of channel encroachment on decisions and performance in software service supply chains," International Journal of Production Economics, Elsevier, vol. 257(C).
    67. José Eduardo Galve & Daniel Elduque & Carmelo Pina & Carlos Javierre, 2016. "Sustainable Supply Chain Management: The Influence of Disposal Scenarios on the Environmental Impact of a 2400 L Waste Container," Sustainability, MDPI, vol. 8(6), pages 1-12, June.
    68. Ehsan Pourjavad & Arash Shahin, 2018. "Hybrid performance evaluation of sustainable service and manufacturing supply chain management: An integrated approach of fuzzy dematel and fuzzy inference system," Intelligent Systems in Accounting, Finance and Management, John Wiley & Sons, Ltd., vol. 25(3), pages 134-147, July.
    69. Yuan, Quan & Shen, Bin, 2019. "Renting fashion with strategic customers in the sharing economy," International Journal of Production Economics, Elsevier, vol. 218(C), pages 185-195.
    70. Lou, Yaqi & Feng, Lipan & He, Shuguang & He, Zhen & Zhao, Xiukun, 2020. "Logistics service outsourcing choices in a retailer-led supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 141(C).
    71. Lingyu Gao & Xiaoli Wang, 2019. "Healthcare Supply Chain Network Coordination Through Medical Insurance Strategies with Reference Price Effect," IJERPH, MDPI, vol. 16(18), pages 1-23, September.
    72. Weihua Liu & Shuqing Wang & DongLei Zhu & Di Wang & Xinran Shen, 2018. "Order allocation of logistics service supply chain with fairness concern and demand updating: model analysis and empirical examination," Annals of Operations Research, Springer, vol. 268(1), pages 177-213, September.
    73. Mahadevan, B. & Hazra, Jishnu & Jain, Tarun, 2017. "Services outsourcing under asymmetric cost information," European Journal of Operational Research, Elsevier, vol. 257(2), pages 456-467.

  23. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.

    Cited by:

    1. Kulak, Osman & Genç, Atakan & Taner, Mustafa Egemen, 2018. "A decision making tool considering risk assessment of sub-contracting agents for an air cargo shipment planning problem," Journal of Air Transport Management, Elsevier, vol. 69(C), pages 123-136.
    2. Roozbeh, Iman & Hearne, John & Abbasi, Babak & Ozlen, Melih, 2021. "Decision support for wildfire asset protection: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 155(C).
    3. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    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).

  24. Bai, Ruibin & Wallace, Stein W. & Li, Jingpeng & Chong, Alain Yee-Loong, 2014. "Stochastic service network design with rerouting," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 50-65.

    Cited by:

    1. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    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. Maiyar, Lohithaksha M. & Thakkar, Jitesh J., 2019. "Modelling and analysis of intermodal food grain transportation under hub disruption towards sustainability," International Journal of Production Economics, Elsevier, vol. 217(C), pages 281-297.
    4. Wang, Zujian & Qi, Mingyao, 2019. "Service network design considering multiple types of services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 1-14.
    5. Greening, Lacy M. & Dahan, Mathieu & Erera, Alan L., 2023. "Lead-Time-Constrained Middle-Mile Consolidation Network Design with Fixed Origins and Destinations," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    6. Kathryn M. Schumacher & Richard Li‐Yang Chen & Amy E.M. Cohn & Jeremy Castaing, 2016. "Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(3), pages 236-246, April.
    7. Pérez Rivera, Arturo E. & Mes, Martijn R.K., 2017. "Anticipatory freight selection in intermodal long-haul round-trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 176-194.
    8. Joris Wagenaar & Ioannis Fragkos & Rob Zuidwijk, 2021. "Integrated Planning for Multimodal Networks with Disruptions and Customer Service Requirements," Transportation Science, INFORMS, vol. 55(1), pages 196-221, 1-2.
    9. Arturo E. Pérez Rivera & Martijn R. K. Mes, 2019. "Integrated scheduling of drayage and long-haul operations in synchromodal transport," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 763-806, September.
    10. Siqian Shen & Mingdi You & Yintai Ma, 2017. "Single‐commodity stochastic network design under demand and topological uncertainties with insufficient data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(2), pages 154-173, March.
    11. Naoto Katayama, 2020. "MIP neighborhood search heuristics for a service network design problem with design-balanced requirements," Journal of Heuristics, Springer, vol. 26(4), pages 475-502, August.
    12. Liu, Chuanju & Lin, Shaochong & Shen, Zuo-Jun Max & Zhang, Junlong, 2023. "Stochastic service network design: The value of fixed routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    13. Liu, Chuanju & Zhang, Junlong & Lin, Shaochong & Shen, Zuo-Jun Max, 2023. "Service network design with consistent multiple trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 171(C).
    14. Meng, Qiang & Hei, Xiuling & Wang, Shuaian & Mao, Haijun, 2015. "Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 38-54.
    15. Jiyoung Choi & Chungmok Lee & Sungsoo Park, 2018. "Dantzig–Wolfe decomposition approach to the vehicle assignment problem with demand uncertainty in a hybrid hub-and-spoke network," Annals of Operations Research, Springer, vol. 264(1), pages 57-87, May.
    16. Santos, A.M.P. & Fagerholt, Kjetil & Laporte, Gilbert & Guedes Soares, C., 2022. "A stochastic optimization approach for the supply vessel planning problem under uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 209-228.
    17. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    18. 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.
    19. Tawfik, Christine & Gendron, Bernard & Limbourg, Sabine, 2022. "An iterative two-stage heuristic algorithm for a bilevel service network design and pricing model," European Journal of Operational Research, Elsevier, vol. 300(2), pages 512-526.
    20. Huang, Yixiao & Zhao, Lei & Van Woensel, Tom & Gross, Jean-Philippe, 2017. "Time-dependent vehicle routing problem with path flexibility," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 169-195.
    21. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    22. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    23. Natashia Boland & Mike Hewitt & Luke Marshall & Martin Savelsbergh, 2019. "The price of discretizing time: a study in service network design," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(2), pages 195-216, June.
    24. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    25. Demir, Emrah & Burgholzer, Wolfgang & Hrušovský, Martin & Arıkan, Emel & Jammernegg, Werner & Woensel, Tom Van, 2016. "A green intermodal service network design problem with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 789-807.
    26. 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).
    27. 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.
    28. Jiang, Xiaoping & Bai, Ruibin & Ren, Jianfeng & Li, Jiawei & Kendall, Graham, 2022. "Lagrange dual bound computation for stochastic service network design," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1097-1112.

  25. Biju Thapalia & Stein Wallace & Michal Kaut & Teodor Crainic, 2012. "Single source single-commodity stochastic network design," Computational Management Science, Springer, vol. 9(1), pages 139-160, February.

    Cited by:

    1. Maskooki, Alaleh & Kallio, Markku, 2023. "A bi-criteria moving-target travelling salesman problem under uncertainty," European Journal of Operational Research, Elsevier, vol. 309(1), pages 271-285.
    2. Fragkos, Ioannis & Cordeau, Jean-François & Jans, Raf, 2021. "Decomposition methods for large-scale network expansion problems," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 60-80.
    3. Thapalia, Biju K. & Crainic, Teodor Gabriel & Kaut, Michal & Wallace, Stein W., 2012. "Single-commodity network design with random edge capacities," European Journal of Operational Research, Elsevier, vol. 220(2), pages 394-403.
    4. Bilegan, Ioana C. & Crainic, Teodor Gabriel & Wang, Yunfei, 2022. "Scheduled service network design with revenue management considerations and an intermodal barge transportation illustration," European Journal of Operational Research, Elsevier, vol. 300(1), pages 164-177.
    5. Bruni, M.E. & Guerriero, F. & Beraldi, P., 2014. "Designing robust routes for demand-responsive transport systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 1-16.
    6. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.

  26. Thapalia, Biju K. & Crainic, Teodor Gabriel & Kaut, Michal & Wallace, Stein W., 2012. "Single-commodity network design with random edge capacities," European Journal of Operational Research, Elsevier, vol. 220(2), pages 394-403.

    Cited by:

    1. Michal Kaut & Kjetil Midthun & Adrian Werner & Asgeir Tomasgard & Lars Hellemo & Marte Fodstad, 2014. "Multi-horizon stochastic programming," Computational Management Science, Springer, vol. 11(1), pages 179-193, January.
    2. Kathryn M. Schumacher & Richard Li‐Yang Chen & Amy E.M. Cohn & Jeremy Castaing, 2016. "Algorithm to solve a chance‐constrained network capacity design problem with stochastic demands and finite support," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(3), pages 236-246, April.
    3. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.

  27. Francesca Maggioni & Stein Wallace, 2012. "Analyzing the quality of the expected value solution in stochastic programming," Annals of Operations Research, Springer, vol. 200(1), pages 37-54, November.

    Cited by:

    1. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    2. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A Learning-Based Matheuristic for Stochastic Multicommodity Network Design," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 643-656, May.
    3. Gambella, Claudio & Maggioni, Francesca & Vigo, Daniele, 2019. "A stochastic programming model for a tactical solid waste management problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 684-694.
    4. Francesca Maggioni & Elisabetta Allevi & Marida Bertocchi, 2014. "Bounds in Multistage Linear Stochastic Programming," Journal of Optimization Theory and Applications, Springer, vol. 163(1), pages 200-229, October.
    5. Jan Brinkmann & Marlin W. Ulmer & Dirk C. Mattfeld, 2020. "The multi-vehicle stochastic-dynamic inventory routing problem for bike sharing systems," Business Research, Springer;German Academic Association for Business Research, vol. 13(1), pages 69-92, April.
    6. Ching-Hui Tang, 2018. "Two-stage stochastic modeling of transportation outsourcing plans for transshipment centers," 4OR, Springer, vol. 16(1), pages 67-94, March.
    7. Audrius Kabašinskas & Francesca Maggioni & Kristina Šutienė & Eimutis Valakevičius, 2019. "A multistage risk-averse stochastic programming model for personal savings accrual: the evidence from Lithuania," Annals of Operations Research, Springer, vol. 279(1), pages 43-70, August.
    8. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A reduced cost-based restriction and refinement matheuristic for stochastic network design problem," Journal of Heuristics, Springer, vol. 27(3), pages 325-351, June.
    9. Gilani Larimi, Niloofar & Azhdari, Abolghasem & Ghousi, Rouzbeh & Du, Bo, 2022. "Integrating GIS in reorganizing blood supply network in a robust-stochastic approach by combating disruption damages," Socio-Economic Planning Sciences, Elsevier, vol. 82(PA).
    10. Cavagnini, Rossana & Hewitt, Mike & Maggioni, Francesca, 2020. "Workforce production planning under uncertain learning rates," International Journal of Production Economics, Elsevier, vol. 225(C).
    11. Roberto Tadei & Guido Perboli & Francesca Perfetti, 2017. "The multi-path Traveling Salesman Problem with stochastic travel costs," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 6(1), pages 3-23, March.
    12. 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.
    13. Elgesem, Aurora Smith & Skogen, Eline Sophie & Wang, Xin & Fagerholt, Kjetil, 2018. "A traveling salesman problem with pickups and deliveries and stochastic travel times: An application from chemical shipping," European Journal of Operational Research, Elsevier, vol. 269(3), pages 844-859.
    14. Maggioni, Francesca & Cagnolari, Matteo & Bertazzi, Luca & Wallace, Stein W., 2019. "Stochastic optimization models for a bike-sharing problem with transshipment," European Journal of Operational Research, Elsevier, vol. 276(1), pages 272-283.
    15. Jabbarzadeh, Armin & Fahimnia, Behnam & Seuring, Stefan, 2014. "Dynamic supply chain network design for the supply of blood in disasters: A robust model with real world application," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 225-244.
    16. Francesca Maggioni & Matteo Cagnolari & Luca Bertazzi, 2019. "The value of the right distribution in stochastic programming with application to a Newsvendor problem," Computational Management Science, Springer, vol. 16(4), pages 739-758, October.
    17. Francesca Maggioni & Elisabetta Allevi & Marida Bertocchi, 2016. "Monotonic bounds in multistage mixed-integer stochastic programming," Computational Management Science, Springer, vol. 13(3), pages 423-457, July.
    18. Huang, Wei & Huang, Wentao & Jian, Sisi, 2022. "One-way carsharing service design under demand uncertainty: A service reliability-based two-stage stochastic program approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 159(C).
    19. Ottesen, Stig Odegaard & Tomasgard, Asgeir, 2015. "A stochastic model for scheduling energy flexibility in buildings," Energy, Elsevier, vol. 88(C), pages 364-376.
    20. Francesca Maggioni & Elisabetta Allevi & Asgeir Tomasgard, 2020. "Bounds in multi-horizon stochastic programs," Annals of Operations Research, Springer, vol. 292(2), pages 605-625, September.
    21. Guido Perboli & Marco Ghirardi & Luca Gobbato & Francesca Perfetti, 2015. "Flights and Their Economic Impact on the Airport Catchment Area: An Application to the Italian Tourist Market," Journal of Optimization Theory and Applications, Springer, vol. 164(3), pages 1109-1133, March.
    22. Perboli, Guido & Tadei, Roberto & Gobbato, Luca, 2014. "The Multi-Handler Knapsack Problem under Uncertainty," European Journal of Operational Research, Elsevier, vol. 236(3), pages 1000-1007.
    23. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.
    24. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    25. Pisciella, P. & Vespucci, M.T. & Bertocchi, M. & Zigrino, S., 2016. "A time consistent risk averse three-stage stochastic mixed integer optimization model for power generation capacity expansion," Energy Economics, Elsevier, vol. 53(C), pages 203-211.
    26. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2016. "The impact of operations anticipations on the quality of stochastic location-allocation models," Omega, Elsevier, vol. 62(C), pages 19-33.

  28. Michal Kaut & Stein Wallace, 2011. "Shape-based scenario generation using copulas," Computational Management Science, Springer, vol. 8(1), pages 181-199, April.

    Cited by:

    1. Zhe Yan & Zhiping Chen & Giorgio Consigli & Jia Liu & Ming Jin, 2020. "A copula-based scenario tree generation algorithm for multiperiod portfolio selection problems," Annals of Operations Research, Springer, vol. 292(2), pages 849-881, September.
    2. Yu Mei & Zhiping Chen & Jia Liu & Bingbing Ji, 2022. "Multi-stage portfolio selection problem with dynamic stochastic dominance constraints," Journal of Global Optimization, Springer, vol. 83(3), pages 585-613, July.
    3. Johan Hagenbjörk & Jörgen Blomvall, 2019. "Simulation and evaluation of the distribution of interest rate risk," Computational Management Science, Springer, vol. 16(1), pages 297-327, February.
    4. 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.
    5. Cui, Tianxiang & Ding, Shusheng & Jin, Huan & Zhang, Yongmin, 2023. "Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach," Economic Modelling, Elsevier, vol. 119(C).
    6. Georg Pflug & Alois Pichler, 2015. "Dynamic generation of scenario trees," Computational Optimization and Applications, Springer, vol. 62(3), pages 641-668, December.
    7. Michal Kaut, 2014. "A copula-based heuristic for scenario generation," Computational Management Science, Springer, vol. 11(4), pages 503-516, October.
    8. Jamie Fairbrother & Amanda Turner & Stein W. Wallace, 2018. "Scenario Generation for Single-Period Portfolio Selection Problems with Tail Risk Measures: Coping with High Dimensions and Integer Variables," INFORMS Journal on Computing, INFORMS, vol. 30(3), pages 472-491, August.
    9. Stefan Hochrainer-Stigler & Juraj Balkovič & Kadri Silm & Anna Timonina-Farkas, 2019. "Large scale extreme risk assessment using copulas: an application to drought events under climate change for Austria," Computational Management Science, Springer, vol. 16(4), pages 651-669, October.
    10. 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.
    11. Elçin Çetinkaya & Aurélie Thiele, 2016. "A moment matching approach to log-normal portfolio optimization," Computational Management Science, Springer, vol. 13(4), pages 501-520, October.
    12. Nonthachote Chatsanga & Andrew J. Parkes, 2017. "Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios," Papers 1704.01174, arXiv.org.

  29. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.

    Cited by:

    1. Choi, Tsan-Ming & Sethi, Suresh, 2010. "Innovative quick response programs: A review," International Journal of Production Economics, Elsevier, vol. 127(1), pages 1-12, September.
    2. Mansoornejad, Behrang & Pistikopoulos, Efstratios N. & Stuart, Paul R., 2013. "Scenario-based strategic supply chain design and analysis for the forest biorefinery using an operational supply chain model," International Journal of Production Economics, Elsevier, vol. 144(2), pages 618-634.
    3. Heydari, Jafar & Govindan, Kannan & Ebrahimi Nasab, Hamid Reza & Taleizadeh, Ata Allah, 2020. "Coordination by quantity flexibility contract in a two-echelon supply chain system: Effect of outsourcing decisions," International Journal of Production Economics, Elsevier, vol. 225(C).
    4. Fujimoto, Takahiro & Park, Young Won, 2014. "Balancing supply chain competitiveness and robustness through “virtual dual sourcing”: Lessons from the Great East Japan Earthquake," International Journal of Production Economics, Elsevier, vol. 147(PB), pages 429-436.
    5. Wang, Juite & Yang, Chung-Yu, 2012. "Flexibility planning for managing R&D projects under risk," International Journal of Production Economics, Elsevier, vol. 135(2), pages 823-831.
    6. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.

  30. Vaagen, Hajnalka & Wallace, Stein W. & Kaut, Michal, 2011. "Modelling consumer-directed substitution," International Journal of Production Economics, Elsevier, vol. 134(2), pages 388-397, December.

    Cited by:

    1. Zhang, Jie & Xie, Weijun & Sarin, Subhash C., 2021. "Robust multi-product newsvendor model with uncertain demand and substitution," European Journal of Operational Research, Elsevier, vol. 293(1), pages 190-202.
    2. Apostolos Burnetas & Odysseas Kanavetas, 2018. "Inventory policies for two products under Poisson demand: Interaction between demand substitution, limited storage capacity and replenishment time uncertainty," Naval Research Logistics (NRL), John Wiley & Sons, vol. 65(8), pages 676-698, December.
    3. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    4. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. Jie Zhang & Weijun Xie & Subhash C. Sarin, 2021. "Multiproduct Newsvendor Problem with Customer-Driven Demand Substitution: A Stochastic Integer Program Perspective," INFORMS Journal on Computing, INFORMS, vol. 33(3), pages 1229-1244, July.
    6. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.

  31. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Robust supply chain management," International Journal of Production Economics, Elsevier, vol. 134(2), pages 283-283, December.

    Cited by:

    1. Morteza Lalmazloumian & Kuan Yew Wong & Kannan Govindan & Devika Kannan, 2016. "A robust optimization model for agile and build-to-order supply chain planning under uncertainties," Annals of Operations Research, Springer, vol. 240(2), pages 435-470, May.

  32. Stein Wallace, 2010. "Stochastic programming and the option of doing it differently," Annals of Operations Research, Springer, vol. 177(1), pages 3-8, June.

    Cited by:

    1. Sebastian Maier, 2021. "Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches," Annals of Operations Research, Springer, vol. 299(1), pages 907-937, April.
    2. Biju Thapalia & Stein Wallace & Michal Kaut & Teodor Crainic, 2012. "Single source single-commodity stochastic network design," Computational Management Science, Springer, vol. 9(1), pages 139-160, February.
    3. Julien Keutchayan & Janosch Ortmann & Walter Rei, 2023. "Problem-driven scenario clustering in stochastic optimization," Computational Management Science, Springer, vol. 20(1), pages 1-33, December.
    4. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.
    5. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.
    6. Trigeorgis, Lenos & Tsekrekos, Andrianos E., 2018. "Real Options in Operations Research: A Review," European Journal of Operational Research, Elsevier, vol. 270(1), pages 1-24.

  33. Ronny Aboudi & Dominique Thon & Stein Wallace, 2010. "Inequality comparisons when the populations differ in size," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 47-70, March.

    Cited by:

    1. Inaki Permanyer & Suman Seth & Gaston Yalonetzky, 2022. "Inequality measurement for bounded variables," Working Papers 602, ECINEQ, Society for the Study of Economic Inequality.
    2. Jihui Chen & Maochao Xu, 2015. "Asymmetry and revenue in second-price auctions: a majorization approach," Journal of Economics and Finance, Springer;Academy of Economics and Finance, vol. 39(3), pages 625-640, July.
    3. Jean‐Yves Duclos & Agnès Zabsonré, 2014. "Social evaluations when populations differ in size," Canadian Journal of Economics/Revue canadienne d'économique, John Wiley & Sons, vol. 47(2), pages 605-633, May.
    4. P. Matl & R. F. Hartl & T. Vidal, 2018. "Workload Equity in Vehicle Routing Problems: A Survey and Analysis," Transportation Science, INFORMS, vol. 52(2), pages 239-260, March.

  34. Bjørnar Aas & Øyvind Halskau Sr & Stein W Wallace, 2009. "The role of supply vessels in offshore logistics," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 11(3), pages 302-325, September.

    Cited by:

    1. Thomas Borthen & Henrik Loennechen & Xin Wang & Kjetil Fagerholt & Thibaut Vidal, 2018. "A genetic search-based heuristic for a fleet size and periodic routing problem with application to offshore supply planning," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 7(2), pages 121-150, June.
    2. Kaiser, Mark J., 2015. "Offshore Service Vessel activity forecast and regulatory modeling in the U.S. Gulf of Mexico, 2012–2017," Marine Policy, Elsevier, vol. 57(C), pages 132-146.
    3. Kaiser, Mark J., 2010. "An integrated systems framework for service vessel forecasting in the Gulf of Mexico," Energy, Elsevier, vol. 35(7), pages 2777-2795.
    4. Roar Adland & Pierre Cariou & Francois-Charles Wolff, 2017. "What makes a freight market index ?," Post-Print hal-03913228, HAL.
    5. Halvorsen-Weare, Elin E. & Fagerholt, Kjetil & Nonås, Lars Magne & Asbjørnslett, Bjørn Egil, 2012. "Optimal fleet composition and periodic routing of offshore supply vessels," European Journal of Operational Research, Elsevier, vol. 223(2), pages 508-517.
    6. Roar Adland & Pierre Cariou & François-Charles Wolff, 2017. "What makes a freight market index? An empirical analysis of vessel fixtures in the offshore market," Working Papers halshs-01513364, HAL.
    7. Amiri, Mohsen & Amin, Saman Hassanzadeh & Tavakkoli-Moghaddam, Reza, 2019. "A Lagrangean decomposition approach for a novel two-echelon node-based location-routing problem in an offshore oil and gas supply chain," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 128(C), pages 96-114.
    8. Bagherabadi, Kamyar Maleki & Skjong, Stian & Bruinsma, Jogchum & Pedersen, Eilif, 2023. "Investigation of hybrid power plant configurations for an offshore vessel with co-simulation approach," Applied Energy, Elsevier, vol. 343(C).
    9. Roar Adland & Pierre Cariou & François-Charles Wolff, 2018. "Comparing transaction-based and expert-generated price indices in the market for offshore support vessels," Working Papers halshs-01843720, HAL.
    10. Karen V. Czachorowski, 2021. "Cleaning Up Our Act: Systems Engineering to Promote Business Model Innovation for the Offshore Exploration and Production Supply Chain Operations," Sustainability, MDPI, vol. 13(4), pages 1-15, February.
    11. Santos, A.M.P. & Fagerholt, Kjetil & Laporte, Gilbert & Guedes Soares, C., 2022. "A stochastic optimization approach for the supply vessel planning problem under uncertain demand," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 209-228.
    12. Hamidreza Eskandari & Ehsan Mahmoodi, 2016. "A simulation-based multi-objective optimization study of the fleet sizing problem in the offshore industry," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 18(4), pages 436-457, December.
    13. Cruz, Roberto & Bergsten Mendes, André & Bahiense, Laura & Wu, Yue, 2019. "Integrating berth allocation decisions in a fleet composition and periodic routing problem of platform supply vessels," European Journal of Operational Research, Elsevier, vol. 275(1), pages 334-346.
    14. Kaiser, Mark J., 2016. "Service vessel activity in the U.S. Gulf of Mexico in support of the oil and gas industry using AIS data, 2009–2010," Marine Policy, Elsevier, vol. 63(C), pages 61-80.
    15. Vieira, Bruno S. & Ribeiro, Glaydston M. & Bahiense, Laura & Cruz, Roberto & Mendes, André B. & Laporte, Gilbert, 2021. "Exact and heuristic algorithms for the fleet composition and periodic routing problem of offshore supply vessels with berth allocation decisions," European Journal of Operational Research, Elsevier, vol. 295(3), pages 908-923.
    16. Maciel M. Queiroz & André Bergsten Mendes, 2020. "Critical Success Factors of the Brazilian Offshore Support Vessel Industry: A Flexible Systems Approach," Global Journal of Flexible Systems Management, Springer;Global Institute of Flexible Systems Management, vol. 21(1), pages 33-48, June.
    17. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    18. Christiansen, Marielle & Fagerholt, Kjetil & Nygreen, Bjørn & Ronen, David, 2013. "Ship routing and scheduling in the new millennium," European Journal of Operational Research, Elsevier, vol. 228(3), pages 467-483.

  35. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.

    Cited by:

    1. Etemadnia, Hamideh & Goetz, Stephan J. & Canning, Patrick & Tavallali, Mohammad Sadegh, 2015. "Optimal wholesale facilities location within the fruit and vegetables supply chain with bimodal transportation options: An LP-MIP heuristic approach," European Journal of Operational Research, Elsevier, vol. 244(2), pages 648-661.
    2. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A Learning-Based Matheuristic for Stochastic Multicommodity Network Design," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 643-656, May.
    3. Line Blander Reinhardt & David Pisinger & Richard Lusby, 2018. "Railway capacity and expansion analysis using time discretized paths," Flexible Services and Manufacturing Journal, Springer, vol. 30(4), pages 712-739, December.
    4. James F. Campbell & Morton E. O'Kelly, 2012. "Twenty-Five Years of Hub Location Research," Transportation Science, INFORMS, vol. 46(2), pages 153-169, May.
    5. 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.
    6. Govindan, Kannan & Fattahi, Mohammad, 2017. "Investigating risk and robustness measures for supply chain network design under demand uncertainty: A case study of glass supply chain," International Journal of Production Economics, Elsevier, vol. 183(PC), pages 680-699.
    7. Wang, Zujian & Qi, Mingyao, 2019. "Service network design considering multiple types of services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 126(C), pages 1-14.
    8. Greening, Lacy M. & Dahan, Mathieu & Erera, Alan L., 2023. "Lead-Time-Constrained Middle-Mile Consolidation Network Design with Fixed Origins and Destinations," Transportation Research Part B: Methodological, Elsevier, vol. 174(C).
    9. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A reduced cost-based restriction and refinement matheuristic for stochastic network design problem," Journal of Heuristics, Springer, vol. 27(3), pages 325-351, June.
    10. Pérez Rivera, Arturo E. & Mes, Martijn R.K., 2017. "Anticipatory freight selection in intermodal long-haul round-trips," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 105(C), pages 176-194.
    11. Bai, Ruibin & Wallace, Stein W. & Li, Jingpeng & Chong, Alain Yee-Loong, 2014. "Stochastic service network design with rerouting," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 50-65.
    12. Joris Wagenaar & Ioannis Fragkos & Rob Zuidwijk, 2021. "Integrated Planning for Multimodal Networks with Disruptions and Customer Service Requirements," Transportation Science, INFORMS, vol. 55(1), pages 196-221, 1-2.
    13. Arturo E. Pérez Rivera & Martijn R. K. Mes, 2019. "Integrated scheduling of drayage and long-haul operations in synchromodal transport," Flexible Services and Manufacturing Journal, Springer, vol. 31(3), pages 763-806, September.
    14. Fragkos, Ioannis & Cordeau, Jean-François & Jans, Raf, 2021. "Decomposition methods for large-scale network expansion problems," Transportation Research Part B: Methodological, Elsevier, vol. 144(C), pages 60-80.
    15. Siqian Shen & Mingdi You & Yintai Ma, 2017. "Single‐commodity stochastic network design under demand and topological uncertainties with insufficient data," Naval Research Logistics (NRL), John Wiley & Sons, vol. 64(2), pages 154-173, March.
    16. Snoeck, André & Winkenbach, Matthias, 2020. "The value of physical distribution flexibility in serving dense and uncertain urban markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 151-177.
    17. Liu, Chuanju & Lin, Shaochong & Shen, Zuo-Jun Max & Zhang, Junlong, 2023. "Stochastic service network design: The value of fixed routes," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 174(C).
    18. 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.
    19. Meng, Qiang & Hei, Xiuling & Wang, Shuaian & Mao, Haijun, 2015. "Carrying capacity procurement of rail and shipping services for automobile delivery with uncertain demand," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 38-54.
    20. Jiyoung Choi & Chungmok Lee & Sungsoo Park, 2018. "Dantzig–Wolfe decomposition approach to the vehicle assignment problem with demand uncertainty in a hybrid hub-and-spoke network," Annals of Operations Research, Springer, vol. 264(1), pages 57-87, May.
    21. Teodor Gabriel Crainic & Fausto Errico & Walter Rei & Nicoletta Ricciardi, 2016. "Modeling Demand Uncertainty in Two-Tier City Logistics Tactical Planning," Transportation Science, INFORMS, vol. 50(2), pages 559-578, May.
    22. López-Ramos, Francisco & Nasini, Stefano & Sayed, Mohamed H., 2020. "An integrated planning model in centralized power systems," European Journal of Operational Research, Elsevier, vol. 287(1), pages 361-377.
    23. Gelareh, Shahin & Pisinger, David, 2011. "Fleet deployment, network design and hub location of liner shipping companies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 47(6), pages 947-964.
    24. SteadieSeifi, M. & Dellaert, N.P. & Nuijten, W. & Van Woensel, T. & Raoufi, R., 2014. "Multimodal freight transportation planning: A literature review," European Journal of Operational Research, Elsevier, vol. 233(1), pages 1-15.
    25. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    26. 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.
    27. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    28. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.
    29. Rob A. Zuidwijk & Albert W. Veenstra, 2015. "The Value of Information in Container Transport," Transportation Science, INFORMS, vol. 49(3), pages 675-685, August.
    30. Mittal, Neha & Boile, Maria & Baveja, Alok & Theofanis, Sotiris, 2013. "Determining optimal inland-empty-container depot locations under stochastic demand," Research in Transportation Economics, Elsevier, vol. 42(1), pages 50-60.
    31. Tawfik, Christine & Gendron, Bernard & Limbourg, Sabine, 2022. "An iterative two-stage heuristic algorithm for a bilevel service network design and pricing model," European Journal of Operational Research, Elsevier, vol. 300(2), pages 512-526.
    32. Yolanda Hinojosa & Justo Puerto & Francisco Saldanha-da-Gama, 2014. "A two-stage stochastic transportation problem with fixed handling costs and a priori selection of the distribution channels," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 1123-1147, October.
    33. Filipe Teixeira & Ben Derudder, 2019. "SKYNET: An R package for generating air passenger networks for urban studies," Urban Studies, Urban Studies Journal Limited, vol. 56(14), pages 3030-3044, November.
    34. Huang, Yixiao & Zhao, Lei & Van Woensel, Tom & Gross, Jean-Philippe, 2017. "Time-dependent vehicle routing problem with path flexibility," Transportation Research Part B: Methodological, Elsevier, vol. 95(C), pages 169-195.
    35. Manerba, Daniele & Mansini, Renata & Perboli, Guido, 2018. "The Capacitated Supplier Selection problem with Total Quantity Discount policy and Activation Costs under uncertainty," International Journal of Production Economics, Elsevier, vol. 198(C), pages 119-132.
    36. An, Kun & Lo, Hong K., 2016. "Two-phase stochastic program for transit network design under demand uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 84(C), pages 157-181.
    37. Stein Wallace, 2010. "Stochastic programming and the option of doing it differently," Annals of Operations Research, Springer, vol. 177(1), pages 3-8, June.
    38. Prochazka, Vit & Adland, Roar & Wallace, Stein W., 2018. "The value of foresight in the drybulk freight market," Discussion Papers 2018/1, Norwegian School of Economics, Department of Business and Management Science.
    39. Campbell, James F., 2013. "A continuous approximation model for time definite many-to-many transportation," Transportation Research Part B: Methodological, Elsevier, vol. 54(C), pages 100-112.
    40. Ahmad Baubaid & Natashia Boland & Martin Savelsbergh, 2021. "The Value of Limited Flexibility in Service Network Designs," Transportation Science, INFORMS, vol. 55(1), pages 52-74, 1-2.
    41. Hewitt, Mike & Crainic, Teodor Gabriel & Nowak, Maciek & Rei, Walter, 2019. "Scheduled service network design with resource acquisition and management under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 128(C), pages 324-343.
    42. Mike Hewitt & Janosch Ortmann & Walter Rei, 2022. "Decision-based scenario clustering for decision-making under uncertainty," Annals of Operations Research, Springer, vol. 315(2), pages 747-771, August.
    43. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.
    44. Ursavas, Evrim, 2017. "A benders decomposition approach for solving the offshore wind farm installation planning at the North Sea," European Journal of Operational Research, Elsevier, vol. 258(2), pages 703-714.
    45. Amiri-Aref, Mehdi & Farahani, Reza Zanjirani & Hewitt, Mike & Klibi, Walid, 2019. "Equitable location of facilities in a region with probabilistic barriers to travel," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 66-85.
    46. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    47. Demir, Emrah & Burgholzer, Wolfgang & Hrušovský, Martin & Arıkan, Emel & Jammernegg, Werner & Woensel, Tom Van, 2016. "A green intermodal service network design problem with travel time uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 789-807.
    48. 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.
    49. 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).
    50. Alumur, Sibel A. & Nickel, Stefan & Saldanha-da-Gama, Francisco, 2012. "Hub location under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 46(4), pages 529-543.
    51. 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.
    52. Jiang, Xiaoping & Bai, Ruibin & Ren, Jianfeng & Li, Jiawei & Kendall, Graham, 2022. "Lagrange dual bound computation for stochastic service network design," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1097-1112.
    53. 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.
    54. Pan, Xin & Ning, Lutao & Shi, Lifang, 2019. "Visualisation and determinations of hub locations: Evidence from China's interregional trade network," Research in Transportation Economics, Elsevier, vol. 75(C), pages 36-44.
    55. 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.

  36. Vaagen, Hajnalka & Wallace, Stein W., 2008. "Product variety arising from hedging in the fashion supply chains," International Journal of Production Economics, Elsevier, vol. 114(2), pages 431-455, August.

    Cited by:

    1. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2011. "Negative default dependence in supplier networks," International Journal of Production Economics, Elsevier, vol. 134(2), pages 398-406, December.
    2. Song, Sangcheol & Lee, Seung-Hyun & Makhija, Mona, 2015. "Operational hedging in foreign direct investments under volatile and divergent exchange rates across countries," Journal of World Business, Elsevier, vol. 50(3), pages 548-557.
    3. Hsieh, Pao-Nuan & Chang, Pao-Long, 2009. "An assessment of world-wide research productivity in production and operations management," International Journal of Production Economics, Elsevier, vol. 120(2), pages 540-551, August.
    4. Weskamp, Christoph & Koberstein, Achim & Schwartz, Frank & Suhl, Leena & Voß, Stefan, 2019. "A two-stage stochastic programming approach for identifying optimal postponement strategies in supply chains with uncertain demand," Omega, Elsevier, vol. 83(C), pages 123-138.
    5. Koufteros, Xenophon & Babbar, Sunil & Kaighobadi, Mehdi, 2009. "A paradigm for examining second-order factor models employing structural equation modeling," International Journal of Production Economics, Elsevier, vol. 120(2), pages 633-652, August.
    6. Menezes, Mozart B.C. & Ruiz-Hernández, Diego & Chen, Yen-Tsang, 2021. "On the validity and practical relevance of a measure for structural complexity," International Journal of Production Economics, Elsevier, vol. 240(C).
    7. Tsan-Ming Choi, 2016. "Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations," Annals of Operations Research, Springer, vol. 237(1), pages 77-98, February.
    8. Wen, Xin & Choi, Tsan-Ming & Chung, Sai-Ho, 2019. "Fashion retail supply chain management: A review of operational models," International Journal of Production Economics, Elsevier, vol. 207(C), pages 34-55.
    9. Tsan-Ming Choi, 2016. "Multi-period risk minimization purchasing models for fashion products with interest rate, budget, and profit target considerations," Annals of Operations Research, Springer, vol. 237(1), pages 77-98, February.
    10. Chun-Hung Chiu & Tsan-Ming Choi, 2016. "Supply chain risk analysis with mean-variance models: a technical review," Annals of Operations Research, Springer, vol. 240(2), pages 489-507, May.
    11. Lee, Sunghee & Kim, Daeki, 2014. "An optimal policy for a single-vendor single-buyer integrated production–distribution model with both deteriorating and defective items," International Journal of Production Economics, Elsevier, vol. 147(PA), pages 161-170.
    12. Hofmann, Erik, 2011. "Risk management in international supply chains: the case of natural hedging," Die Unternehmung - Swiss Journal of Business Research and Practice, Nomos Verlagsgesellschaft mbH & Co. KG, vol. 65(2), pages 155-192.
    13. Liao Wang, 2021. "Mean–Variance Hedging for Production Planning with Multiple Products," Production and Operations Management, Production and Operations Management Society, vol. 30(10), pages 3497-3522, October.
    14. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    15. Vaagen, Hajnalka & Wallace, Stein W. & Kaut, Michal, 2011. "Modelling consumer-directed substitution," International Journal of Production Economics, Elsevier, vol. 134(2), pages 388-397, December.
    16. Michal Kaut, 2014. "A copula-based heuristic for scenario generation," Computational Management Science, Springer, vol. 11(4), pages 503-516, October.
    17. Zhao, Yingxue & Choi, Tsan-Ming & Cheng, T.C.E. & Sethi, Suresh P. & Wang, Shouyang, 2014. "Buyback contracts with price-dependent demands: Effects of demand uncertainty," European Journal of Operational Research, Elsevier, vol. 239(3), pages 663-673.
    18. Choi, Tsan-Ming, 2015. "Sustainable management of mining operations with accidents: A mean-variance optimization model," Resources Policy, Elsevier, vol. 46(P1), pages 116-122.
    19. Georgia Perakis & Melvyn Sim & Qinshen Tang & Peng Xiong, 2023. "Robust Pricing and Production with Information Partitioning and Adaptation," Management Science, INFORMS, vol. 69(3), pages 1398-1419, March.
    20. Choi, Tsan-Ming & Wen, Xin & Sun, Xuting & Chung, Sai-Ho, 2019. "The mean-variance approach for global supply chain risk analysis with air logistics in the blockchain technology era," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 127(C), pages 178-191.
    21. Tomasz Brzęczek, 2020. "Optimisation of product portfolio sales and their risk subject to product width and diversity," Review of Managerial Science, Springer, vol. 14(5), pages 1009-1027, October.
    22. Tambo, Torben, 2014. "Collaboration on technological innovation in Danish fashion chains: A network perspective," Journal of Retailing and Consumer Services, Elsevier, vol. 21(5), pages 827-835.
    23. Chou, Yon-Chun & Lin, Yue-Lan & Chun, King-Fai, 2014. "A construction of knowledge rules for reactive planning of job-mix assignment to homogeneous serial batch machines," International Journal of Production Economics, Elsevier, vol. 151(C), pages 56-66.

  37. Michal Kaut & Hercules Vladimirou & Stein W. Wallace & Stavros A. Zenios, 2007. "Stability analysis of portfolio management with conditional value-at-risk," Quantitative Finance, Taylor & Francis Journals, vol. 7(4), pages 397-409.

    Cited by:

    1. Michal Kaut & Stein Wallace, 2011. "Shape-based scenario generation using copulas," Computational Management Science, Springer, vol. 8(1), pages 181-199, April.
    2. Staino, Alessandro & Russo, Emilio, 2015. "A moment-matching method to generate arbitrage-free scenarios," European Journal of Operational Research, Elsevier, vol. 246(2), pages 619-630.
    3. Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.
    4. Zhao, Daping & Bai, Lin & Fang, Yong & Wang, Shouyang, 2022. "Multi‐period portfolio selection with investor views based on scenario tree," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    5. Leonard Arvi & Herman Manakyan & Kashi Khazeh, 2023. "Estimated Impact of Covid-19 on Exchange Rate Risk of Multinational Enterprises Operating in Emerging Markets," International Journal of Economics and Financial Issues, Econjournals, vol. 13(4), pages 23-29, July.
    6. Tatarnikova, Olga & Duchêne, Sébastien & Sentis, Patrick & Willinger, Marc, 2023. "Portfolio instability and socially responsible investment: Experiments with financial professionals and students," Journal of Economic Dynamics and Control, Elsevier, vol. 153(C).
    7. Shanshan Guo & Lei Zhao & Xiaowei Xu, 2016. "Impact of supply risks on procurement decisions," Annals of Operations Research, Springer, vol. 241(1), pages 411-430, June.
    8. Cesarone, Francesco & Mango, Fabiomassimo & Mottura, Carlo Domenico & Ricci, Jacopo Maria & Tardella, Fabio, 2020. "On the stability of portfolio selection models," Journal of Empirical Finance, Elsevier, vol. 59(C), pages 210-234.
    9. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    10. Gambella, Claudio & Maggioni, Francesca & Vigo, Daniele, 2019. "A stochastic programming model for a tactical solid waste management problem," European Journal of Operational Research, Elsevier, vol. 273(2), pages 684-694.
    11. Jörgen Blomvall & Jonas Ekblom, 2018. "Corporate hedging: an answer to the “how” question," Annals of Operations Research, Springer, vol. 266(1), pages 35-69, July.
    12. Ken Kobayashi & Yuichi Takano & Kazuhide Nakata, 2021. "Bilevel cutting-plane algorithm for cardinality-constrained mean-CVaR portfolio optimization," Journal of Global Optimization, Springer, vol. 81(2), pages 493-528, October.
    13. Santos, Daniel & Marques, Inês, 2022. "Designing master surgery schedules with downstream unit integration via stochastic programming," European Journal of Operational Research, Elsevier, vol. 299(3), pages 834-852.
    14. Weiguo Zhang & Xiaolei He, 2022. "A New Scenario Reduction Method Based on Higher-Order Moments," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1903-1918, July.
    15. Hu, Zhengyang & Hu, Guiping, 2020. "Hybrid stochastic and robust optimization model for lot-sizing and scheduling problems under uncertainties," European Journal of Operational Research, Elsevier, vol. 284(2), pages 485-497.
    16. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2020. "Integrated dynamic models for hedging international portfolio risks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 48-65.
    17. Allen, D.E. & Powell, R.J. & Singh, A.K., 2016. "Take it to the limit: Innovative CVaR applications to extreme credit risk measurement," European Journal of Operational Research, Elsevier, vol. 249(2), pages 465-475.
    18. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2011. "Optimizing international portfolios with options and forwards," Journal of Banking & Finance, Elsevier, vol. 35(12), pages 3188-3201.
    19. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    20. Fadda, Edoardo & Perboli, Guido & Tadei, Roberto, 2019. "A progressive hedging method for the optimization of social engagement and opportunistic IoT problems," European Journal of Operational Research, Elsevier, vol. 277(2), pages 643-652.
    21. Lotfi, Somayyeh & Zenios, Stavros A., 2018. "Robust VaR and CVaR optimization under joint ambiguity in distributions, means, and covariances," European Journal of Operational Research, Elsevier, vol. 269(2), pages 556-576.
    22. Yuichi Takano & Keisuke Nanjo & Noriyoshi Sukegawa & Shinji Mizuno, 2015. "Cutting plane algorithms for mean-CVaR portfolio optimization with nonconvex transaction costs," Computational Management Science, Springer, vol. 12(2), pages 319-340, April.
    23. Jamie Fairbrother & Amanda Turner & Stein W. Wallace, 2018. "Scenario Generation for Single-Period Portfolio Selection Problems with Tail Risk Measures: Coping with High Dimensions and Integer Variables," INFORMS Journal on Computing, INFORMS, vol. 30(3), pages 472-491, August.
    24. Schütz, Peter & Westgaard, Sjur, 2018. "Optimal hedging strategies for salmon producers," Journal of Commodity Markets, Elsevier, vol. 12(C), pages 60-70.
    25. Pier Francesco Procacci & Tomaso Aste, 2018. "Forecasting market states," Papers 1807.05836, arXiv.org, revised May 2019.
    26. Lotfi, Somayyeh & Zeniosn, Stravros A., 2016. "Equivalence of Robust VaR and CVaR Optimization," Working Papers 16-03, University of Pennsylvania, Wharton School, Weiss Center.
    27. Anne Pedersen & Alex Weissensteiner & Rolf Poulsen, 2013. "Financial planning for young households," Annals of Operations Research, Springer, vol. 205(1), pages 55-76, May.
    28. Nader Azad & Georgios Saharidis & Hamid Davoudpour & Hooman Malekly & Seyed Yektamaram, 2013. "Strategies for protecting supply chain networks against facility and transportation disruptions: an improved Benders decomposition approach," Annals of Operations Research, Springer, vol. 210(1), pages 125-163, November.
    29. Elçin Çetinkaya & Aurélie Thiele, 2016. "A moment matching approach to log-normal portfolio optimization," Computational Management Science, Springer, vol. 13(4), pages 501-520, October.
    30. Fodstad, Marte & Midthun, Kjetil T. & Tomasgard, Asgeir, 2015. "Adding flexibility in a natural gas transportation network using interruptible transportation services," European Journal of Operational Research, Elsevier, vol. 243(2), pages 647-657.
    31. Richard Gerlach & Zudi Lu & Hai Huang, 2013. "Exponentially Smoothing the Skewed Laplace Distribution for Value‐at‐Risk Forecasting," Journal of Forecasting, John Wiley & Sons, Ltd., vol. 32(6), pages 534-550, September.
    32. Nonthachote Chatsanga & Andrew J. Parkes, 2017. "Two-Stage Stochastic International Portfolio Optimisation under Regular-Vine-Copula-Based Scenarios," Papers 1704.01174, arXiv.org.

  38. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2007. "Correlations In Stochastic Programming: A Case From Stochastic Service Network Design," Asia-Pacific Journal of Operational Research (APJOR), World Scientific Publishing Co. Pte. Ltd., vol. 24(02), pages 161-179.

    Cited by:

    1. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    2. Wagner, Stephan M. & Bode, Christoph & Koziol, Philipp, 2011. "Negative default dependence in supplier networks," International Journal of Production Economics, Elsevier, vol. 134(2), pages 398-406, December.
    3. Wang, Xin & Fagerholt, Kjetil & Wallace, Stein W., 2018. "Planning for charters: A stochastic maritime fleet composition and deployment problem," Omega, Elsevier, vol. 79(C), pages 54-66.
    4. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.
    5. Biju Thapalia & Stein Wallace & Michal Kaut & Teodor Crainic, 2012. "Single source single-commodity stochastic network design," Computational Management Science, Springer, vol. 9(1), pages 139-160, February.
    6. Teodor Gabriel Crainic & Fausto Errico & Walter Rei & Nicoletta Ricciardi, 2016. "Modeling Demand Uncertainty in Two-Tier City Logistics Tactical Planning," Transportation Science, INFORMS, vol. 50(2), pages 559-578, May.
    7. Lanza, Giacomo & Crainic, Teodor Gabriel & Rei, Walter & Ricciardi, Nicoletta, 2021. "Scheduled service network design with quality targets and stochastic travel times," European Journal of Operational Research, Elsevier, vol. 288(1), pages 30-46.
    8. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    9. Wang, Yulan & Wallace, Stein W. & Shen, Bin & Choi, Tsan-Ming, 2015. "Service supply chain management: A review of operational models," European Journal of Operational Research, Elsevier, vol. 247(3), pages 685-698.
    10. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.

  39. Kjetil Haugen & Stein Wallace, 2006. "Stochastic programming: Potential hazards when random variables reflect market interaction," Annals of Operations Research, Springer, vol. 142(1), pages 119-127, February.

    Cited by:

    1. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.
    2. Colvin, Matthew & Maravelias, Christos T., 2010. "Modeling methods and a branch and cut algorithm for pharmaceutical clinical trial planning using stochastic programming," European Journal of Operational Research, Elsevier, vol. 203(1), pages 205-215, May.

  40. Dominique Thon & Stein W. Wallace, 2004. "Dalton transfers, inequality and altruism," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 22(3), pages 447-465, June.

    Cited by:

    1. Hay, M.J. & Schiff, J. & Fisch, N.J., 2017. "On extreme points of the diffusion polytope," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 473(C), pages 225-236.
    2. Aboudi, Ronny & Thon, Dominique, 2006. "Refinements of Muirhead's Lemma and income inequality," Mathematical Social Sciences, Elsevier, vol. 51(2), pages 201-216, March.
    3. Ronny Aboudi & Dominique Thon & Stein Wallace, 2010. "Inequality comparisons when the populations differ in size," The Journal of Economic Inequality, Springer;Society for the Study of Economic Inequality, vol. 8(1), pages 47-70, March.
    4. Ronny Aboudi & Dominique Thon, 2010. "Characterizations of egalitarian binary relations as transitive closures with a special reference to Lorenz dominance and to single-crossing conditions," Social Choice and Welfare, Springer;The Society for Social Choice and Welfare, vol. 35(4), pages 575-593, October.

  41. Julia L. Higle & Stein W. Wallace, 2003. "Sensitivity Analysis and Uncertainty in Linear Programming," Interfaces, INFORMS, vol. 33(4), pages 53-60, August.

    Cited by:

    1. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    2. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A Learning-Based Matheuristic for Stochastic Multicommodity Network Design," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 643-656, May.
    3. Borgonovo, E., 2010. "Sensitivity analysis with finite changes: An application to modified EOQ models," European Journal of Operational Research, Elsevier, vol. 200(1), pages 127-138, January.
    4. Z.N. Chen & C.K.M. Lee & W.H. Ip & G.T.S. Ho, 2012. "Design and evaluation of an integrated inventory and transportation system," Transportation Planning and Technology, Taylor & Francis Journals, vol. 35(4), pages 491-507, January.
    5. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.
    6. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A reduced cost-based restriction and refinement matheuristic for stochastic network design problem," Journal of Heuristics, Springer, vol. 27(3), pages 325-351, June.
    7. Biju Thapalia & Stein Wallace & Michal Kaut & Teodor Crainic, 2012. "Single source single-commodity stochastic network design," Computational Management Science, Springer, vol. 9(1), pages 139-160, February.
    8. Thapalia, Biju K. & Crainic, Teodor Gabriel & Kaut, Michal & Wallace, Stein W., 2012. "Single-commodity network design with random edge capacities," European Journal of Operational Research, Elsevier, vol. 220(2), pages 394-403.
    9. Snoeck, André & Winkenbach, Matthias, 2020. "The value of physical distribution flexibility in serving dense and uncertain urban markets," Transportation Research Part A: Policy and Practice, Elsevier, vol. 136(C), pages 151-177.
    10. 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.
    11. Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017. "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, vol. 134(C), pages 984-990.
    12. Borgonovo, E. & Peccati, L., 2011. "Finite change comparative statics for risk-coherent inventories," International Journal of Production Economics, Elsevier, vol. 131(1), pages 52-62, May.
    13. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.
    14. Francesca Maggioni & Stein Wallace, 2012. "Analyzing the quality of the expected value solution in stochastic programming," Annals of Operations Research, Springer, vol. 200(1), pages 37-54, November.
    15. Stein Wallace, 2010. "Stochastic programming and the option of doing it differently," Annals of Operations Research, Springer, vol. 177(1), pages 3-8, June.
    16. E. Borgonovo & L. Peccati, 2011. "Managerial insights from service industry models: a new scenario decomposition method," Annals of Operations Research, Springer, vol. 185(1), pages 161-179, May.
    17. Wallace, Stein W. & Choi, Tsan-Ming, 2011. "Flexibility, information structure, options, and market power in robust supply chains," International Journal of Production Economics, Elsevier, vol. 134(2), pages 284-288, December.
    18. Rolf Golombek & Kjell Arne Brekke & Michal Kaut & Sverre A.C. Kittelsen & Stein W. Wallace, 2016. "Stochastic equilibrium modeling: The Impact of Uncertainty on the European Energy Market," EcoMod2016 9201, EcoMod.
    19. Julie Ann Stuart Williams & Randall Reid & Philip E. Billings & Natalie C. Belford, 2023. "Engaging Students in Optimization Modeling: Gaining Business Disruption Insights," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 85-94, September.
    20. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    21. Curry, Stewart & Lee, Ilbin & Ma, Simin & Serban, Nicoleta, 2022. "Global sensitivity analysis via a statistical tolerance approach," European Journal of Operational Research, Elsevier, vol. 296(1), pages 44-59.
    22. Leung, Lawrence C. & Wong, Wai Hung & Hui, Yer Van & Wan, Yulai, 2013. "Managing third-party logistics under uncertainty: A decision scheme and managerial implications," International Journal of Production Economics, Elsevier, vol. 145(2), pages 630-644.
    23. Ya Ping Fang & Nan Jing Huang & Xiao Qi Yang, 2012. "Local Smooth Representations of Parametric Semiclosed Polyhedra with Applications to Sensitivity in Piecewise Linear Programs," Journal of Optimization Theory and Applications, Springer, vol. 155(3), pages 810-839, December.

  42. Fleten, Stein-Erik & Hoyland, Kjetil & Wallace, Stein W., 2002. "The performance of stochastic dynamic and fixed mix portfolio models," European Journal of Operational Research, Elsevier, vol. 140(1), pages 37-49, July.

    Cited by:

    1. Kai Pan & Yongpei Guan, 2022. "Integrated Stochastic Optimal Self-Scheduling for Two-Settlement Electricity Markets," INFORMS Journal on Computing, INFORMS, vol. 34(3), pages 1819-1840, May.
    2. Laureano Escudero & Araceli Garín & María Merino & Gloria Pérez, 2009. "On multistage Stochastic Integer Programming for incorporating logical constraints in asset and liability management under uncertainty," Computational Management Science, Springer, vol. 6(3), pages 307-327, August.
    3. Davari-Ardakani, Hamed & Aminnayeri, Majid & Seifi, Abbas, 2014. "A study on modeling the dynamics of statistically dependent returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 35-51.
    4. Fan, Wei & Machemehl, Randy, 2004. "A Multi-stage Monte Carlo Sampling Based Stochastic Programming Model for the Dynamic Vehicle Allocation Problem," 45th Annual Transportation Research Forum, Evanston, Illinois, March 21-23, 2004 208244, Transportation Research Forum.
    5. Christopher Bayliss & Marti Serra & Armando Nieto & Angel A. Juan, 2020. "Combining a Matheuristic with Simulation for Risk Management of Stochastic Assets and Liabilities," Risks, MDPI, vol. 8(4), pages 1-14, December.
    6. Fan, Lin & Hobbs, Benjamin F. & Norman, Catherine S., 2010. "Risk aversion and CO2 regulatory uncertainty in power generation investment: Policy and modeling implications," Journal of Environmental Economics and Management, Elsevier, vol. 60(3), pages 193-208, November.
    7. Lee, Zu-Hsu & Deng, Shiming & Lin, Beixin & Yang, James G.S., 2010. "Decision model and analysis for investment interest expense deduction and allocation," European Journal of Operational Research, Elsevier, vol. 200(1), pages 268-280, January.
    8. Bae, Geum Il & Kim, Woo Chang & Mulvey, John M., 2014. "Dynamic asset allocation for varied financial markets under regime switching framework," European Journal of Operational Research, Elsevier, vol. 234(2), pages 450-458.
    9. Lioui, Abraham & Poncet, Patrice, 2013. "Optimal benchmarking for active portfolio managers," European Journal of Operational Research, Elsevier, vol. 226(2), pages 268-276.
    10. Takano, Y. & Sotirov, R., 2010. "A Polynomial Optimization Approach to Constant Rebalanced Portfolio Selection," Other publications TiSEM 50bcc54f-7451-4e27-88a5-3, Tilburg University, School of Economics and Management.
    11. Chen, Liang & Kettunen, Janne, 2017. "Is certainty in carbon policy better than uncertainty?," European Journal of Operational Research, Elsevier, vol. 258(1), pages 230-243.
    12. Fan, Wei, 2014. "Optimizing Strategic Allocation of Vehicles for One-Way Car-sharing Systems Under Demand Uncertainty," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(3).
    13. Liu, J. & Li, Y.P. & Huang, G.H. & Zeng, X.T., 2014. "A dual-interval fixed-mix stochastic programming method for water resources management under uncertainty," Resources, Conservation & Recycling, Elsevier, vol. 88(C), pages 50-66.
    14. Xie, Y.L. & Li, Y.P. & Huang, G.H. & Li, Y.F., 2010. "An interval fixed-mix stochastic programming method for greenhouse gas mitigation in energy systems under uncertainty," Energy, Elsevier, vol. 35(12), pages 4627-4644.
    15. Petri Hilli & Matti Koivu & Teemu Pennanen & Antero Ranne, 2007. "A stochastic programming model for asset liability management of a Finnish pension company," Annals of Operations Research, Springer, vol. 152(1), pages 115-139, July.
    16. Marida Bertocchi & Vittorio Moriggia & Jitka Dupačová, 2006. "Horizon and stages in applications of stochastic programming in finance," Annals of Operations Research, Springer, vol. 142(1), pages 63-78, February.
    17. Kouwenberg, Roy, 2001. "Scenario generation and stochastic programming models for asset liability management," European Journal of Operational Research, Elsevier, vol. 134(2), pages 279-292, October.
    18. William T. Ziemba, 2013. "Portfolio optimization: theory and practical implementation," Chapters, in: Adrian R. Bell & Chris Brooks & Marcel Prokopczuk (ed.), Handbook of Research Methods and Applications in Empirical Finance, chapter 2, pages 45-72, Edward Elgar Publishing.
    19. Ekblom, J. & Blomvall, J., 2020. "Importance sampling in stochastic optimization: An application to intertemporal portfolio choice," European Journal of Operational Research, Elsevier, vol. 285(1), pages 106-119.
    20. M. A. H. Dempster & E. A. Germano & M. Medova & M. I. Rietbergen & F. Sandrini & M. Scrowston & N. Zhang, 2007. "DC pension fund benchmarking with fixed-mix portfolio optimization," Quantitative Finance, Taylor & Francis Journals, vol. 7(4), pages 365-370.
    21. Yuichi Takano & Jun-ya Gotoh, 2011. "Constant Rebalanced Portfolio Optimization Under Nonlinear Transaction Costs," Asia-Pacific Financial Markets, Springer;Japanese Association of Financial Economics and Engineering, vol. 18(2), pages 191-211, May.
    22. Bianchi, Daniele & Guidolin, Massimo, 2014. "Can long-run dynamic optimal strategies outperform fixed-mix portfolios? Evidence from multiple data sets," European Journal of Operational Research, Elsevier, vol. 236(1), pages 160-176.
    23. Alois Geyer & William T. Ziemba, 2008. "The Innovest Austrian Pension Fund Financial Planning Model InnoALM," Operations Research, INFORMS, vol. 56(4), pages 797-810, August.

  43. Kjetil Høyland & Stein W. Wallace, 2001. "Generating Scenario Trees for Multistage Decision Problems," Management Science, INFORMS, vol. 47(2), pages 295-307, February.

    Cited by:

    1. Owadally, Iqbal & Jang, Chul & Clare, Andrew, 2021. "Optimal investment for a retirement plan with deferred annuities," Insurance: Mathematics and Economics, Elsevier, vol. 98(C), pages 51-62.
    2. Wong, Man Hong, 2013. "Investment models based on clustered scenario trees," European Journal of Operational Research, Elsevier, vol. 227(2), pages 314-324.
    3. Liu, Pei-chen Barry & Hansen, Mark & Mukherjee, Avijit, 2008. "Scenario-based air traffic flow management: From theory to practice," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 685-702, August.
    4. Gulpinar, Nalan & Rustem, Berc & Settergren, Reuben, 2004. "Simulation and optimization approaches to scenario tree generation," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1291-1315, April.
    5. Flores-Quiroz, Angela & Strunz, Kai, 2021. "A distributed computing framework for multi-stage stochastic planning of renewable power systems with energy storage as flexibility option," Applied Energy, Elsevier, vol. 291(C).
    6. Zhe Yan & Zhiping Chen & Giorgio Consigli & Jia Liu & Ming Jin, 2020. "A copula-based scenario tree generation algorithm for multiperiod portfolio selection problems," Annals of Operations Research, Springer, vol. 292(2), pages 849-881, September.
    7. Ronald Hochreiter & Georg Pflug, 2007. "Financial scenario generation for stochastic multi-stage decision processes as facility location problems," Annals of Operations Research, Springer, vol. 152(1), pages 257-272, July.
    8. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "A dynamic stochastic programming model for international portfolio management," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1501-1524, March.
    9. Michal Kaut & Stein Wallace, 2011. "Shape-based scenario generation using copulas," Computational Management Science, Springer, vol. 8(1), pages 181-199, April.
    10. Staino, Alessandro & Russo, Emilio, 2015. "A moment-matching method to generate arbitrage-free scenarios," European Journal of Operational Research, Elsevier, vol. 246(2), pages 619-630.
    11. Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.
    12. Tanaka, Ken'ichiro & Toda, Alexis Akira, 2015. "Discretizing Distributions with Exact Moments: Error Estimate and Convergence Analysis," University of California at San Diego, Economics Working Paper Series qt7g23r5kh, Department of Economics, UC San Diego.
    13. Zhao, Daping & Bai, Lin & Fang, Yong & Wang, Shouyang, 2022. "Multi‐period portfolio selection with investor views based on scenario tree," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    14. Davari-Ardakani, Hamed & Aminnayeri, Majid & Seifi, Abbas, 2014. "A study on modeling the dynamics of statistically dependent returns," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 405(C), pages 35-51.
    15. Wu, Dexiang & Wu, Desheng Dash, 2020. "A decision support approach for two-stage multi-objective index tracking using improved lagrangian decomposition," Omega, Elsevier, vol. 91(C).
    16. Agnieszka Konicz & David Pisinger & Alex Weissensteiner, 2015. "Optimal annuity portfolio under inflation risk," Computational Management Science, Springer, vol. 12(3), pages 461-488, July.
    17. Murat Köksalan & Ceren Tuncer Şakar, 2016. "An interactive approach to stochastic programming-based portfolio optimization," Annals of Operations Research, Springer, vol. 245(1), pages 47-66, October.
    18. Michal Kaut & Kjetil Midthun & Adrian Werner & Asgeir Tomasgard & Lars Hellemo & Marte Fodstad, 2014. "Multi-horizon stochastic programming," Computational Management Science, Springer, vol. 11(1), pages 179-193, January.
    19. Consiglio, Andrea & Carollo, Angelo & Zenios, Stavros A., 2014. "Generating Multi-factor Arbitrage-Free Scenario Trees with Global Optimization," Working Papers 13-35, University of Pennsylvania, Wharton School, Weiss Center.
    20. D. Kuhn, 2009. "Convergent Bounds for Stochastic Programs with Expected Value Constraints," Journal of Optimization Theory and Applications, Springer, vol. 141(3), pages 597-618, June.
    21. Torres-Rincón, Samuel & Sánchez-Silva, Mauricio & Bastidas-Arteaga, Emilio, 2021. "A multistage stochastic program for the design and management of flexible infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    22. Guillaume Erbs & Clara Lage & Claudia Sagastizábal & Mikhail Solodov, 2023. "Increasing reliability of price signals in long term energy management problems," Computational Optimization and Applications, Springer, vol. 85(3), pages 787-820, July.
    23. John M. Mulvey & Koray D. Simsek & Zhuojuan Zhang & Frank J. Fabozzi & William R. Pauling, 2008. "OR PRACTICE---Assisting Defined-Benefit Pension Plans," Operations Research, INFORMS, vol. 56(5), pages 1066-1078, October.
    24. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.
    25. Jörgen Blomvall & Jonas Ekblom, 2018. "Corporate hedging: an answer to the “how” question," Annals of Operations Research, Springer, vol. 266(1), pages 35-69, July.
    26. Hoyland, Kjetil & Wallace, Stein W., 2001. "Analyzing legal regulations in the Norwegian life insurance business using a multistage asset-liability management model," European Journal of Operational Research, Elsevier, vol. 134(2), pages 293-308, October.
    27. Hongling, Liu & Chuanwen, Jiang & Yan, Zhang, 2008. "A review on risk-constrained hydropower scheduling in deregulated power market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1465-1475, June.
    28. Sodhi, ManMohan S. & Tang, Christopher S., 2009. "Modeling supply-chain planning under demand uncertainty using stochastic programming: A survey motivated by asset-liability management," International Journal of Production Economics, Elsevier, vol. 121(2), pages 728-738, October.
    29. Collins, Seán & Deane, John Paul & Poncelet, Kris & Panos, Evangelos & Pietzcker, Robert C. & Delarue, Erik & Ó Gallachóir, Brian Pádraig, 2017. "Integrating short term variations of the power system into integrated energy system models: A methodological review," Renewable and Sustainable Energy Reviews, Elsevier, vol. 76(C), pages 839-856.
    30. Zhao, Yonggan & Ziemba, William T., 2008. "Calculating risk neutral probabilities and optimal portfolio policies in a dynamic investment model with downside risk control," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1525-1540, March.
    31. Min, Daiki & Chung, Jaewoo, 2013. "Evaluation of the long-term power generation mix: The case study of South Korea's energy policy," Energy Policy, Elsevier, vol. 62(C), pages 1544-1552.
    32. Paulo Cesar Schotten & Leydiana Sousa Pereira & Danielle Costa Morais, 2022. "Credit granting sorting model for financial organizations," Financial Innovation, Springer;Southwestern University of Finance and Economics, vol. 8(1), pages 1-24, December.
    33. Leung, Stephen C.H. & Tsang, Sally O.S. & Ng, W.L. & Wu, Yue, 2007. "A robust optimization model for multi-site production planning problem in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 181(1), pages 224-238, August.
    34. Jikai Zou & Shabbir Ahmed & Xu Andy Sun, 2018. "Partially Adaptive Stochastic Optimization for Electric Power Generation Expansion Planning," INFORMS Journal on Computing, INFORMS, vol. 30(2), pages 388-401, May.
    35. Kim, Hansung & Cheon, Hyungkyu & Ahn, Young-Hwan & Choi, Dong Gu, 2019. "Uncertainty quantification and scenario generation of future solar photovoltaic price for use in energy system models," Energy, Elsevier, vol. 168(C), pages 370-379.
    36. Ferstl, Robert & Weissensteiner, Alex, 2011. "Asset-liability management under time-varying investment opportunities," Journal of Banking & Finance, Elsevier, vol. 35(1), pages 182-192, January.
    37. Mitra, Sovan & Lim, Sungmook & Karathanasopoulos, Andreas, 2019. "Regression based scenario generation: Applications for performance management," Operations Research Perspectives, Elsevier, vol. 6(C).
    38. Woodruff, Joshua & Dimitrov, Nedialko B., 2018. "Optimal discretization for decision analysis," Operations Research Perspectives, Elsevier, vol. 5(C), pages 288-305.
    39. Latorre, Jesus M & Cerisola, Santiago & Ramos, Andres, 2007. "Clustering algorithms for scenario tree generation: Application to natural hydro inflows," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1339-1353, September.
    40. Pieter Klaassen, 2002. "Comment on "Generating Scenario Trees for Multistage Decision Problems"," Management Science, INFORMS, vol. 48(11), pages 1512-1516, November.
    41. Consiglio, Andrea & De Giovanni, Domenico, 2007. "Pricing the Option to Surrender in Incomplete Markets," Finance Research Group Working Papers F-2007-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    42. Alois Geyer & Michael Hanke & Alex Weissensteiner, 2009. "A stochastic programming approach for multi-period portfolio optimization," Computational Management Science, Springer, vol. 6(2), pages 187-208, May.
    43. Julien Keutchayan & Janosch Ortmann & Walter Rei, 2023. "Problem-driven scenario clustering in stochastic optimization," Computational Management Science, Springer, vol. 20(1), pages 1-33, December.
    44. Wei Zhang & Kai Wang & Alexandre Jacquillat & Shuaian Wang, 2023. "Optimized Scenario Reduction: Solving Large-Scale Stochastic Programs with Quality Guarantees," INFORMS Journal on Computing, INFORMS, vol. 35(4), pages 886-908, July.
    45. Tommi Ekholm & Erin Baker, 2022. "Multiple Beliefs, Dominance and Dynamic Consistency," Management Science, INFORMS, vol. 68(1), pages 529-540, January.
    46. Thangavelu, Sundar Raj & Khambadkone, Ashwin M. & Karimi, Iftekhar A., 2015. "Long-term optimal energy mix planning towards high energy security and low GHG emission," Applied Energy, Elsevier, vol. 154(C), pages 959-969.
    47. Silvia Araújo dos Reis & José Eugenio Leal & Antônio Márcio Tavares Thomé, 2023. "A Two-Stage Stochastic Linear Programming Model for Tactical Planning in the Soybean Supply Chain," Logistics, MDPI, vol. 7(3), pages 1-26, August.
    48. Li, Qi & Hu, Guiping, 2014. "Supply chain design under uncertainty for advanced biofuel production based on bio-oil gasification," Energy, Elsevier, vol. 74(C), pages 576-584.
    49. Consiglio, Andrea & De Giovanni, Domenico, 2008. "Evaluation of insurance products with guarantee in incomplete markets," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 332-342, February.
    50. Fan, Wei & Machemehl, Randy, 2004. "A Multi-stage Monte Carlo Sampling Based Stochastic Programming Model for the Dynamic Vehicle Allocation Problem," 45th Annual Transportation Research Forum, Evanston, Illinois, March 21-23, 2004 208244, Transportation Research Forum.
    51. Weiguo Zhang & Xiaolei He, 2022. "A New Scenario Reduction Method Based on Higher-Order Moments," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1903-1918, July.
    52. Contreras, Juan Pablo & Bosch, Paul & Herrera, Mauricio, 2018. "Comment on “An algorithm for moment-matching scenario generation with application to financial portfolio optimization”," European Journal of Operational Research, Elsevier, vol. 269(3), pages 1180-1184.
    53. Bruni, M.E. & Conforti, D. & Beraldi, P. & Tundis, E., 2009. "Probabilistically constrained models for efficiency and dominance in DEA," International Journal of Production Economics, Elsevier, vol. 117(1), pages 219-228, January.
    54. Dennis Vrecko & Alexander Klos & Thomas Langer, 2009. "Impact of Presentation Format and Self-Reported Risk Aversion on Revealed Skewness Preferences," Decision Analysis, INFORMS, vol. 6(2), pages 57-74, June.
    55. Sun, Qi & Dong, Yucheng & Xu, Weidong, 2013. "Effects of higher order moments on the newsvendor problem," International Journal of Production Economics, Elsevier, vol. 146(1), pages 167-177.
    56. Geun-Cheol Lee & Martin Höhenrieder & Jean-Paul Watson & David Woodruff, 2015. "Chance and service level constraints for stochastic generation expansion planning," Netnomics, Springer, vol. 16(3), pages 169-191, December.
    57. Balibek, Emre & Köksalan, Murat, 2010. "A multi-objective multi-period stochastic programming model for public debt management," European Journal of Operational Research, Elsevier, vol. 205(1), pages 205-217, August.
    58. Isha Chopra & Dharmaraja Selvamuthu, 2020. "Scenario generation in stochastic programming using principal component analysis based on moment-matching approach," OPSEARCH, Springer;Operational Research Society of India, vol. 57(1), pages 190-201, March.
    59. Daeho Kim & Hyungkyu Cheon & Dong Gu Choi & Seongbin Im, 2022. "Operations Research Helps the Optimal Bidding of Virtual Power Plants," Interfaces, INFORMS, vol. 52(4), pages 344-362, July.
    60. Arbrie Jashari & Victor Tiberius & Marina Dabić, 2022. "Tracing the progress of scenario research in business and management," Futures & Foresight Science, John Wiley & Sons, vol. 4(2), June.
    61. Giovanni Pantuso & Trine K. Boomsma, 2020. "On the number of stages in multistage stochastic programs," Annals of Operations Research, Springer, vol. 292(2), pages 581-603, September.
    62. Osorio, Maria A. & Gulpinar, Nalan & Rustem, Berc, 2008. "A mixed integer programming model for multistage mean-variance post-tax optimization," European Journal of Operational Research, Elsevier, vol. 185(2), pages 451-480, March.
    63. Maria Osorio & Nalan Gülpınar & Berç Rustem, 2008. "A general framework for multistage mean-variance post-tax optimization," Annals of Operations Research, Springer, vol. 157(1), pages 3-23, January.
    64. Séguin, Sara & Fleten, Stein-Erik & Côté, Pascal & Pichler, Alois & Audet, Charles, 2017. "Stochastic short-term hydropower planning with inflow scenario trees," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1156-1168.
    65. de Lange, Petter E. & Fleten, Stein-Erik & Gaivoronski, Alexei A., 2004. "Modeling financial reinsurance in the casualty insurance business via stochastic programming," Journal of Economic Dynamics and Control, Elsevier, vol. 28(5), pages 991-1012, February.
    66. Jitka Dupačová & Jan Polívka, 2009. "Asset-liability management for Czech pension funds using stochastic programming," Annals of Operations Research, Springer, vol. 165(1), pages 5-28, January.
    67. Teodor Gabriel Crainic & Fausto Errico & Walter Rei & Nicoletta Ricciardi, 2016. "Modeling Demand Uncertainty in Two-Tier City Logistics Tactical Planning," Transportation Science, INFORMS, vol. 50(2), pages 559-578, May.
    68. Ignacio Rios & Andres Weintraub & Roger J.-B. Wets, 2016. "Building a stochastic programming model from scratch: a harvesting management example," Quantitative Finance, Taylor & Francis Journals, vol. 16(2), pages 189-199, February.
    69. Y Shi & F Wu & L K Chu & D Sculli & Y H Xu, 2011. "A portfolio approach to managing procurement risk using multi-stage stochastic programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1958-1970, November.
    70. Gaivoronski, Alexei A. & Stella, Fabio, 2003. "On-line portfolio selection using stochastic programming," Journal of Economic Dynamics and Control, Elsevier, vol. 27(6), pages 1013-1043, April.
    71. Shushang Zhu & Masao Fukushima, 2009. "Worst-Case Conditional Value-at-Risk with Application to Robust Portfolio Management," Operations Research, INFORMS, vol. 57(5), pages 1155-1168, October.
    72. Chakraborty, Shantanu & Okabe, Toshiya, 2016. "Robust energy storage scheduling for imbalance reduction of strategically formed energy balancing groups," Energy, Elsevier, vol. 114(C), pages 405-417.
    73. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2020. "Integrated dynamic models for hedging international portfolio risks," European Journal of Operational Research, Elsevier, vol. 285(1), pages 48-65.
    74. ManMohan S. Sodhi, 2005. "LP Modeling for Asset-Liability Management: A Survey of Choices and Simplifications," Operations Research, INFORMS, vol. 53(2), pages 181-196, April.
    75. Cui, Tianxiang & Ding, Shusheng & Jin, Huan & Zhang, Yongmin, 2023. "Portfolio constructions in cryptocurrency market: A CVaR-based deep reinforcement learning approach," Economic Modelling, Elsevier, vol. 119(C).
    76. Libo Yin & Liyan Han, 2013. "Options strategies for international portfolios with overall risk management via multi-stage stochastic programming," Annals of Operations Research, Springer, vol. 206(1), pages 557-576, July.
    77. Morales, J.M. & Mínguez, R. & Conejo, A.J., 2010. "A methodology to generate statistically dependent wind speed scenarios," Applied Energy, Elsevier, vol. 87(3), pages 843-855, March.
    78. Fang, Yong & Chen, Lihua & Fukushima, Masao, 2008. "A mixed R&D projects and securities portfolio selection model," European Journal of Operational Research, Elsevier, vol. 185(2), pages 700-715, March.
    79. 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.
    80. Vera, Enrique Gabriel & Cañizares, Claudio & Pirnia, Mehrdad, 2023. "Geographic-information-based stochastic optimization model for multi-microgrid planning," Applied Energy, Elsevier, vol. 340(C).
    81. Klibi, Walid & Martel, Alain & Guitouni, Adel, 2010. "The design of robust value-creating supply chain networks: A critical review," European Journal of Operational Research, Elsevier, vol. 203(2), pages 283-293, June.
    82. Bogumił Kamiński & Michał Jakubczyk & Przemysław Szufel, 2018. "A framework for sensitivity analysis of decision trees," 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 135-159, March.
    83. Homem-de-Mello, Tito & Pagnoncelli, Bernardo K., 2016. "Risk aversion in multistage stochastic programming: A modeling and algorithmic perspective," European Journal of Operational Research, Elsevier, vol. 249(1), pages 188-199.
    84. Georg Pflug & Alois Pichler, 2015. "Dynamic generation of scenario trees," Computational Optimization and Applications, Springer, vol. 62(3), pages 641-668, December.
    85. Konicz, Agnieszka Karolina & Mulvey, John M., 2015. "Optimal savings management for individuals with defined contribution pension plans," European Journal of Operational Research, Elsevier, vol. 243(1), pages 233-247.
    86. Tiberius, Victor & Siglow, Caroline & Sendra-García, Javier, 2020. "Scenarios in business and management: The current stock and research opportunities," Journal of Business Research, Elsevier, vol. 121(C), pages 235-242.
    87. Fan, Wei, 2014. "Optimizing Strategic Allocation of Vehicles for One-Way Car-sharing Systems Under Demand Uncertainty," Journal of the Transportation Research Forum, Transportation Research Forum, vol. 53(3).
    88. Consiglio, Andrea & Tumminello, Michele & Zenios, Stavros A., 2015. "Designing and pricing guarantee options in defined contribution pension plans," Insurance: Mathematics and Economics, Elsevier, vol. 65(C), pages 267-279.
    89. Zhi Chen & Melvyn Sim & Peng Xiong, 2020. "Robust Stochastic Optimization Made Easy with RSOME," Management Science, INFORMS, vol. 66(8), pages 3329-3339, August.
    90. Ansaripoor, Amir H. & Oliveira, Fernando S., 2018. "Flexible lease contracts in the fleet replacement problem with alternative fuel vehicles: A real-options approach," European Journal of Operational Research, Elsevier, vol. 266(1), pages 316-327.
    91. Owadally, Iqbal & Jang, Chul & Clare, Andrew, 2021. "Optimal investment for a retirement plan with deferred annuities allowing for inflation and labour income risk," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1132-1146.
    92. Trine K. Boomsma, 2019. "Comments on: A comparative study of time aggregation techniques in relation to power capacity-expansion modeling," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 27(3), pages 406-409, October.
    93. Boomsma, Trine Krogh & Juul, Nina & Fleten, Stein-Erik, 2014. "Bidding in sequential electricity markets: The Nordic case," European Journal of Operational Research, Elsevier, vol. 238(3), pages 797-809.
    94. Suvrajeet Sen & Lihua Yu & Talat Genc, 2006. "A Stochastic Programming Approach to Power Portfolio Optimization," Operations Research, INFORMS, vol. 54(1), pages 55-72, February.
    95. Julien Keutchayan & Michel Gendreau & Antoine Saucier, 2017. "Quality evaluation of scenario-tree generation methods for solving stochastic programming problems," Computational Management Science, Springer, vol. 14(3), pages 333-365, July.
    96. S C H Leung & Y Wu & K K Lai, 2006. "A stochastic programming approach for multi-site aggregate production planning," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 57(2), pages 123-132, February.
    97. Gaivoronski, A & Stella, F, 2000. "Nonstationary Optimization Approach for Finding Universal Portfolios," MPRA Paper 21913, University Library of Munich, Germany.
    98. Carrión, Miguel & Domínguez, Ruth & Zárate-Miñano, Rafael, 2019. "Influence of the controllability of electric vehicles on generation and storage capacity expansion decisions," Energy, Elsevier, vol. 189(C).
    99. Mulvey, John M. & Erkan, Hafize G., 2006. "Applying CVaR for decentralized risk management of financial companies," Journal of Banking & Finance, Elsevier, vol. 30(2), pages 627-644, February.
    100. Gaivoronski, Alexei & Sechi, Giovanni M. & Zuddas, Paola, 2012. "Cost/risk balanced management of scarce resources using stochastic programming," European Journal of Operational Research, Elsevier, vol. 216(1), pages 214-224.
    101. Anthony Papavasiliou & Shmuel S. Oren, 2013. "Multiarea Stochastic Unit Commitment for High Wind Penetration in a Transmission Constrained Network," Operations Research, INFORMS, vol. 61(3), pages 578-592, June.
    102. Raimund Kovacevic & Alois Pichler, 2015. "Tree approximation for discrete time stochastic processes: a process distance approach," Annals of Operations Research, Springer, vol. 235(1), pages 395-421, December.
    103. Pöstges, Arne & Weber, Christoph, 2019. "Time series aggregation – A new methodological approach using the “peak-load-pricing” model," Utilities Policy, Elsevier, vol. 59(C), pages 1-1.
    104. Jacek Gondzio & Roy Kouwenberg, 2001. "High-Performance Computing for Asset-Liability Management," Operations Research, INFORMS, vol. 49(6), pages 879-891, December.
    105. Miguel Cañas-Carretón & Miguel Carrión & Florin Iov, 2021. "Towards Renewable-Dominated Power Systems Considering Long-Term Uncertainties: Case Study of Las Palmas," Energies, MDPI, vol. 14(11), pages 1-38, June.
    106. Saldanha-da-Gama, Francisco, 2022. "Facility Location in Logistics and Transportation: An enduring relationship," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 166(C).
    107. Bernhard Hasche & Rüdiger Barth & Derk Jan Swider, 2007. "Effects of Improved Wind Forecasts on Operational Costs in the German Electricity System," Energy and Environmental Modeling 2007 24000017, EcoMod.
    108. Bakker, Hannah & Dunke, Fabian & Nickel, Stefan, 2020. "A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice," Omega, Elsevier, vol. 96(C).
    109. Ekblom, J. & Blomvall, J., 2020. "Importance sampling in stochastic optimization: An application to intertemporal portfolio choice," European Journal of Operational Research, Elsevier, vol. 285(1), pages 106-119.
    110. Osorio, Maria A. & Gulpinar, Nalan & Rustem, Berc & Settergren, Reuben, 2004. "Post-tax optimization with stochastic programming," European Journal of Operational Research, Elsevier, vol. 157(1), pages 152-168, August.
    111. Michal Kaut, 2021. "Scenario generation by selection from historical data," Computational Management Science, Springer, vol. 18(3), pages 411-429, July.
    112. Anne Pedersen & Alex Weissensteiner & Rolf Poulsen, 2013. "Financial planning for young households," Annals of Operations Research, Springer, vol. 205(1), pages 55-76, May.
    113. Samimi, Abouzar & Nikzad, Mehdi & Siano, Pierluigi, 2017. "Scenario-based stochastic framework for coupled active and reactive power market in smart distribution systems with demand response programs," Renewable Energy, Elsevier, vol. 109(C), pages 22-40.
    114. M S Sodhi & C S Tang, 2011. "Determining supply requirement in the sales-and-operations-planning (S&OP) process under demand uncertainty: a stochastic programming formulation and a spreadsheet implementation," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(3), pages 526-536, March.
    115. Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2010. "No-arbitrage conditions, scenario trees, and multi-asset financial optimization," European Journal of Operational Research, Elsevier, vol. 206(3), pages 609-613, November.
    116. Jiang, Xiaoping & Bai, Ruibin & Ren, Jianfeng & Li, Jiawei & Kendall, Graham, 2022. "Lagrange dual bound computation for stochastic service network design," European Journal of Operational Research, Elsevier, vol. 302(3), pages 1097-1112.
    117. Ronald Hochreiter, 2009. "Evolutionary multi-stage financial scenario tree generation," Papers 0912.1534, arXiv.org, revised Jan 2010.
    118. Pantuso Giovanni, 2017. "The Football Team Composition Problem: a Stochastic Programming approach," Journal of Quantitative Analysis in Sports, De Gruyter, vol. 13(3), pages 113-129, September.
    119. Xiaoshi Guo & Sarah M. Ryan, 2021. "Reliability assessment of scenarios generated for stock index returns incorporating momentum," International Journal of Finance & Economics, John Wiley & Sons, Ltd., vol. 26(3), pages 4013-4031, July.
    120. Ponomareva, K. & Roman, D. & Date, P., 2015. "An algorithm for moment-matching scenario generation with application to financial portfolio optimisation," European Journal of Operational Research, Elsevier, vol. 240(3), pages 678-687.
    121. Oliveira, Beatriz B. & Carravilla, Maria Antónia & Oliveira, José F. & Costa, Alysson M., 2019. "A co-evolutionary matheuristic for the car rental capacity-pricing stochastic problem," European Journal of Operational Research, Elsevier, vol. 276(2), pages 637-655.
    122. Barro, Diana & Consigli, Giorgio & Varun, Vivek, 2022. "A stochastic programming model for dynamic portfolio management with financial derivatives," Journal of Banking & Finance, Elsevier, vol. 140(C).
    123. S C H Leung & K K Lai & W-L Ng & Y Wu, 2007. "A robust optimization model for production planning of perishable products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 413-422, April.
    124. Vitor L. de Matos & David P. Morton & Erlon C. Finardi, 2017. "Assessing policy quality in a multistage stochastic program for long-term hydrothermal scheduling," Annals of Operations Research, Springer, vol. 253(2), pages 713-731, June.
    125. Alois Geyer & William T. Ziemba, 2008. "The Innovest Austrian Pension Fund Financial Planning Model InnoALM," Operations Research, INFORMS, vol. 56(4), pages 797-810, August.
    126. Fleten, Stein-Erik & Hoyland, Kjetil & Wallace, Stein W., 2002. "The performance of stochastic dynamic and fixed mix portfolio models," European Journal of Operational Research, Elsevier, vol. 140(1), pages 37-49, July.
    127. Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2014. "No-arbitrage bounds for financial scenarios," European Journal of Operational Research, Elsevier, vol. 236(2), pages 657-663.
    128. Yousra Tourki & Jeffrey Keisler & Igor Linkov, 2013. "Scenario analysis: a review of methods and applications for engineering and environmental systems," Environment Systems and Decisions, Springer, vol. 33(1), pages 3-20, March.
    129. Hu, Zhengyang & Hu, Guiping, 2016. "A two-stage stochastic programming model for lot-sizing and scheduling under uncertainty," International Journal of Production Economics, Elsevier, vol. 180(C), pages 198-207.

  44. Hoyland, Kjetil & Wallace, Stein W., 2001. "Analyzing legal regulations in the Norwegian life insurance business using a multistage asset-liability management model," European Journal of Operational Research, Elsevier, vol. 134(2), pages 293-308, October.

    Cited by:

    1. de Lange, Petter E. & Fleten, Stein-Erik & Gaivoronski, Alexei A., 2004. "Modeling financial reinsurance in the casualty insurance business via stochastic programming," Journal of Economic Dynamics and Control, Elsevier, vol. 28(5), pages 991-1012, February.
    2. Kjetil Høyland & Stein W. Wallace, 2001. "Generating Scenario Trees for Multistage Decision Problems," Management Science, INFORMS, vol. 47(2), pages 295-307, February.
    3. Woong Bee Choi & Dongyeol Lee & Woo Chang Kim, 2021. "Extending the Scope of ALM to Social Investment: Investing in Population Growth to Enhance Sustainability of the Korean National Pension Service," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    4. Sebastiano Vitali & Vittorio Moriggia & Miloš Kopa, 2017. "Optimal pension fund composition for an Italian private pension plan sponsor," Computational Management Science, Springer, vol. 14(1), pages 135-160, January.
    5. Fleten, Stein-Erik & Hoyland, Kjetil & Wallace, Stein W., 2002. "The performance of stochastic dynamic and fixed mix portfolio models," European Journal of Operational Research, Elsevier, vol. 140(1), pages 37-49, July.

  45. Jorgensen, Trond & Wallace, Stein W., 2000. "Improving project cost estimation by taking into account managerial flexibility," European Journal of Operational Research, Elsevier, vol. 127(2), pages 239-251, December.

    Cited by:

    1. Constantin BRAN & Bogdan ȚIGĂNOAIA & Larisa GAVRILĂ & Sorin Cristian IONESCU, 2018. "Increasing Performance By Flexibile Management Of The Database," Network Intelligence Studies, Romanian Foundation for Business Intelligence, Editorial Department, issue 12, pages 101-109, December.
    2. Wolfram Wiesemann & Daniel Kuhn & Berç Rustem, 2012. "Multi-resource allocation in stochastic project scheduling," Annals of Operations Research, Springer, vol. 193(1), pages 193-220, March.
    3. Öncü Hazir & Gündüz Ulusoy, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," Post-Print hal-02898162, HAL.
    4. Kaut, Michal & Vaagen, Hajnalka & Wallace, Stein W., 2021. "The combined impact of stochastic and correlated activity durations and design uncertainty on project plans," International Journal of Production Economics, Elsevier, vol. 233(C).
    5. S Y Sohn & Y Kim & B T Kim, 2009. "Cost of ownership model for spare engines purchase for the Korean navy acquisition program," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 60(12), pages 1674-1682, December.
    6. Wiesemann, Wolfram & Kuhn, Daniel & Rustem, Berç, 2010. "Maximizing the net present value of a project under uncertainty," European Journal of Operational Research, Elsevier, vol. 202(2), pages 356-367, April.
    7. Vaagen, Hajnalka & Kaut, Michal & Wallace, Stein W., 2017. "The impact of design uncertainty in engineer-to-order project planning," European Journal of Operational Research, Elsevier, vol. 261(3), pages 1098-1109.
    8. Pedro Godinho & João Paulo Costa, 2020. "A stochastic model and algorithms for determining efficient time–cost tradeoffs for a project activity," Operational Research, Springer, vol. 20(1), pages 319-348, March.
    9. Hazır, Öncü & Ulusoy, Gündüz, 2020. "A classification and review of approaches and methods for modeling uncertainty in projects," International Journal of Production Economics, Elsevier, vol. 223(C).
    10. Sobel, Matthew J. & Szmerekovsky, Joseph G. & Tilson, Vera, 2009. "Scheduling projects with stochastic activity duration to maximize expected net present value," European Journal of Operational Research, Elsevier, vol. 198(3), pages 697-705, November.
    11. Paul, Anand & Gutierrez, Genaro, 2005. "Simple probability models for project contracting," European Journal of Operational Research, Elsevier, vol. 165(2), pages 329-338, September.
    12. Huang, Sun-Jen & Chiu, Nan-Hsing & Chen, Li-Wei, 2008. "Integration of the grey relational analysis with genetic algorithm for software effort estimation," European Journal of Operational Research, Elsevier, vol. 188(3), pages 898-909, August.

  46. Stein W. Wallace, 2000. "Decision Making Under Uncertainty: Is Sensitivity Analysis of Any Use?," Operations Research, INFORMS, vol. 48(1), pages 20-25, February.

    Cited by:

    1. Aikaterini Papapostolou & Charikleia Karakosta & Haris Doukas, 2017. "Analysis of policy scenarios for achieving renewable energy sources targets: A fuzzy TOPSIS approach," Energy & Environment, , vol. 28(1-2), pages 88-109, March.
    2. Patriksson, Michael, 2008. "On the applicability and solution of bilevel optimization models in transportation science: A study on the existence, stability and computation of optimal solutions to stochastic mathematical programs," Transportation Research Part B: Methodological, Elsevier, vol. 42(10), pages 843-860, December.
    3. Xin Wang & Stein W. Wallace, 2016. "Stochastic scheduled service network design in the presence of a spot market for excess capacity," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 5(4), pages 393-413, December.
    4. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A Learning-Based Matheuristic for Stochastic Multicommodity Network Design," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 643-656, May.
    5. Erin Baker & Valentina Bosetti & Ahti Salo, 2016. "Finding Common Ground when Experts Disagree: Belief Dominance over Portfolios of Alternatives," Working Papers 2016.46, Fondazione Eni Enrico Mattei.
    6. Lars M. Hvattum & Arne Løkketangen & Gilbert Laporte, 2006. "Solving a Dynamic and Stochastic Vehicle Routing Problem with a Sample Scenario Hedging Heuristic," Transportation Science, INFORMS, vol. 40(4), pages 421-438, November.
    7. Bergen, Matías & Muñoz, Francisco D., 2018. "Quantifying the effects of uncertain climate and environmental policies on investments and carbon emissions: A case study of Chile," Energy Economics, Elsevier, vol. 75(C), pages 261-273.
    8. Borgonovo, E., 2010. "Sensitivity analysis with finite changes: An application to modified EOQ models," European Journal of Operational Research, Elsevier, vol. 200(1), pages 127-138, January.
    9. Erin Baker & Valentina Bosetti & Ahti Salo, 2017. "Finding common ground when experts disagree: Robust portfolio decision analysis," Working Papers 2017/11, Institut d'Economia de Barcelona (IEB).
    10. Josef Kallrath, 2005. "Solving Planning and Design Problems in the Process Industry Using Mixed Integer and Global Optimization," Annals of Operations Research, Springer, vol. 140(1), pages 339-373, November.
    11. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.
    12. Maskooki, Alaleh & Kallio, Markku, 2023. "A bi-criteria moving-target travelling salesman problem under uncertainty," European Journal of Operational Research, Elsevier, vol. 309(1), pages 271-285.
    13. Biju Thapalia & Stein Wallace & Michal Kaut & Teodor Crainic, 2012. "Single source single-commodity stochastic network design," Computational Management Science, Springer, vol. 9(1), pages 139-160, February.
    14. Jonathan D Linton & Julian Scott Yeomans & Reena Yoogalingam, 2002. "Policy Planning Using Genetic Algorithms Combined with Simulation: The Case of Municipal Solid Waste," Environment and Planning B, , vol. 29(5), pages 757-778, October.
    15. Elena Verdolini & Laura Diaz Anadón & Erin Baker & Valentina Bosetti & Lara Aleluia Reis, 2016. "The Future Prospects of Energy Technologies: Insights from Expert Elicitations," Working Papers 2016.47, Fondazione Eni Enrico Mattei.
    16. 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.
    17. Thapalia, Biju K. & Crainic, Teodor Gabriel & Kaut, Michal & Wallace, Stein W., 2012. "Single-commodity network design with random edge capacities," European Journal of Operational Research, Elsevier, vol. 220(2), pages 394-403.
    18. Detlefsen, Nina K. & Jensen, Allan Leck, 2004. "A stochastic model for crop variety selection," Agricultural Systems, Elsevier, vol. 81(1), pages 55-72, July.
    19. Borgonovo, Emanuele & Plischke, Elmar, 2016. "Sensitivity analysis: A review of recent advances," European Journal of Operational Research, Elsevier, vol. 248(3), pages 869-887.
    20. Chin Hon Tan & Chunling Luo, 2017. "Clear Preferences Under Partial Distribution Information," Decision Analysis, INFORMS, vol. 14(1), pages 65-73, March.
    21. Olsson, Leif, 2005. "Road investment scenarios in Northern Sweden," Forest Policy and Economics, Elsevier, vol. 7(4), pages 615-623, May.
    22. Baker, Erin & Bosetti, Valentina & Salo, Ahti, 2020. "Robust portfolio decision analysis: An application to the energy research and development portfolio problem," European Journal of Operational Research, Elsevier, vol. 284(3), pages 1107-1120.
    23. Aikaterini Papapostolou & Charikleia Karakosta & Kalliopi-Anastasia Kourti & Haris Doukas & John Psarras, 2019. "Supporting Europe’s Energy Policy Towards a Decarbonised Energy System: A Comparative Assessment," Sustainability, MDPI, vol. 11(15), pages 1-26, July.
    24. João Flávio de Freitas Almeida & Samuel Vieira Conceição & Luiz Ricardo Pinto & Ricardo Saraiva de Camargo & Gilberto de Miranda Júnior, 2018. "Flexibility evaluation of multiechelon supply chains," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-27, March.
    25. Rastogi, Aditya P. & Fowler, John W. & Matthew Carlyle, W. & Araz, Ozgur M. & Maltz, Arnold & Büke, Burak, 2011. "Supply network capacity planning for semiconductor manufacturing with uncertain demand and correlation in demand considerations," International Journal of Production Economics, Elsevier, vol. 134(2), pages 322-332, December.
    26. Brekke, Kjell Arne & Golombek, Rolf & Kaut, Michal & Kittelsen, Sverre A.C. & Wallace, Stein W., 2017. "Stochastic energy market equilibrium modeling with multiple agents," Energy, Elsevier, vol. 134(C), pages 984-990.
    27. Borgonovo, E. & Peccati, L., 2011. "Finite change comparative statics for risk-coherent inventories," International Journal of Production Economics, Elsevier, vol. 131(1), pages 52-62, May.
    28. Eric Larsen & Sébastien Lachapelle & Yoshua Bengio & Emma Frejinger & Simon Lacoste-Julien & Andrea Lodi, 2022. "Predicting Tactical Solutions to Operational Planning Problems Under Imperfect Information," INFORMS Journal on Computing, INFORMS, vol. 34(1), pages 227-242, January.
    29. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.
    30. Tomy Sarath & Pardede Eric, 2017. "Opportunity Evaluation Using Uncertainties in Software Entrepreneurship," Entrepreneurship Research Journal, De Gruyter, vol. 7(3), pages 1-16, July.
    31. Sarath Tomy & Eric Pardede, 2018. "From Uncertainties to Successful Start Ups: A Data Analytic Approach to Predict Success in Technological Entrepreneurship," Sustainability, MDPI, vol. 10(3), pages 1-24, February.
    32. Francesca Maggioni & Stein Wallace, 2012. "Analyzing the quality of the expected value solution in stochastic programming," Annals of Operations Research, Springer, vol. 200(1), pages 37-54, November.
    33. Mitsos, Alexander & Barton, Paul I., 2009. "Parametric mixed-integer 0-1 linear programming: The general case for a single parameter," European Journal of Operational Research, Elsevier, vol. 194(3), pages 663-686, May.
    34. Stein Wallace, 2010. "Stochastic programming and the option of doing it differently," Annals of Operations Research, Springer, vol. 177(1), pages 3-8, June.
    35. Li, Lei & Zabinsky, Zelda B., 2011. "Incorporating uncertainty into a supplier selection problem," International Journal of Production Economics, Elsevier, vol. 134(2), pages 344-356, December.
    36. E. Borgonovo & L. Peccati, 2011. "Managerial insights from service industry models: a new scenario decomposition method," Annals of Operations Research, Springer, vol. 185(1), pages 161-179, May.
    37. Olsson, Leif, 2007. "Optimal upgrading of forest road networks: Scenario analysis vs. stochastic modelling," Forest Policy and Economics, Elsevier, vol. 9(8), pages 1071-1078, May.
    38. Domptail, Stéphanie & Nuppenau, Ernst-August, 2010. "The role of uncertainty and expectations in modeling (range)land use strategies: An application of dynamic optimization modeling with recursion," Ecological Economics, Elsevier, vol. 69(12), pages 2475-2485, October.
    39. Rolf Golombek & Kjell Arne Brekke & Michal Kaut & Sverre A.C. Kittelsen & Stein W. Wallace, 2016. "Stochastic equilibrium modeling: The Impact of Uncertainty on the European Energy Market," EcoMod2016 9201, EcoMod.
    40. Kjetil Haugen & Stein Wallace, 2006. "Stochastic programming: Potential hazards when random variables reflect market interaction," Annals of Operations Research, Springer, vol. 142(1), pages 119-127, February.
    41. Julie Ann Stuart Williams & Randall Reid & Philip E. Billings & Natalie C. Belford, 2023. "Engaging Students in Optimization Modeling: Gaining Business Disruption Insights," INFORMS Transactions on Education, INFORMS, vol. 24(1), pages 85-94, September.
    42. Xin Wang & Teodor Gabriel Crainic & Stein W. Wallace, 2019. "Stochastic Network Design for Planning Scheduled Transportation Services: The Value of Deterministic Solutions," INFORMS Journal on Computing, INFORMS, vol. 31(1), pages 153-170, February.
    43. Curry, Stewart & Lee, Ilbin & Ma, Simin & Serban, Nicoleta, 2022. "Global sensitivity analysis via a statistical tolerance approach," European Journal of Operational Research, Elsevier, vol. 296(1), pages 44-59.
    44. Leung, Lawrence C. & Wong, Wai Hung & Hui, Yer Van & Wan, Yulai, 2013. "Managing third-party logistics under uncertainty: A decision scheme and managerial implications," International Journal of Production Economics, Elsevier, vol. 145(2), pages 630-644.
    45. Maddulapalli, Anil Kumar & Yang, Jian-Bo & Xu, Dong-Ling, 2012. "Estimation, modeling, and aggregation of missing survey data for prioritizing customer voices," European Journal of Operational Research, Elsevier, vol. 220(3), pages 762-776.
    46. Ciomek, Krzysztof & Ferretti, Valentina & Kadzinski, Milosz, 2018. "Predictive analytics and disused railways requalification: insights from a Post Factum Analysis perspective," LSE Research Online Documents on Economics 85922, London School of Economics and Political Science, LSE Library.
    47. Svensson, Elin & Berntsson, Thore & Strömberg, Ann-Brith & Patriksson, Michael, 2009. "An optimization methodology for identifying robust process integration investments under uncertainty," Energy Policy, Elsevier, vol. 37(2), pages 680-685, February.
    48. 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.

  47. Jitka Dupačová & Giorgio Consigli & Stein Wallace, 2000. "Scenarios for Multistage Stochastic Programs," Annals of Operations Research, Springer, vol. 100(1), pages 25-53, December.

    Cited by:

    1. Liu, Pei-chen Barry & Hansen, Mark & Mukherjee, Avijit, 2008. "Scenario-based air traffic flow management: From theory to practice," Transportation Research Part B: Methodological, Elsevier, vol. 42(7-8), pages 685-702, August.
    2. Flåm, Sjur Didrik, 2007. "Option pricing by mathematical programming," Working Papers in Economics 08/07, University of Bergen, Department of Economics.
    3. Diana Barro & Elio Canestrelli, 2014. "Downside risk in multiperiod tracking error 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. 22(2), pages 263-283, June.
    4. Gulpinar, Nalan & Rustem, Berc & Settergren, Reuben, 2004. "Simulation and optimization approaches to scenario tree generation," Journal of Economic Dynamics and Control, Elsevier, vol. 28(7), pages 1291-1315, April.
    5. Fatemeh Sarayloo & Teodor Gabriel Crainic & Walter Rei, 2021. "A Learning-Based Matheuristic for Stochastic Multicommodity Network Design," INFORMS Journal on Computing, INFORMS, vol. 33(2), pages 643-656, May.
    6. Alipour, Manijeh & Mohammadi-Ivatloo, Behnam & Zare, Kazem, 2014. "Stochastic risk-constrained short-term scheduling of industrial cogeneration systems in the presence of demand response programs," Applied Energy, Elsevier, vol. 136(C), pages 393-404.
    7. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "A dynamic stochastic programming model for international portfolio management," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1501-1524, March.
    8. Michal Kaut & Stein Wallace, 2011. "Shape-based scenario generation using copulas," Computational Management Science, Springer, vol. 8(1), pages 181-199, April.
    9. Staino, Alessandro & Russo, Emilio, 2015. "A moment-matching method to generate arbitrage-free scenarios," European Journal of Operational Research, Elsevier, vol. 246(2), pages 619-630.
    10. Faezeh Akhavizadegan & Lizhi Wang & James McCalley, 2020. "Scenario Selection for Iterative Stochastic Transmission Expansion Planning," Energies, MDPI, vol. 13(5), pages 1-18, March.
    11. Ghorbani, Milad & Nourelfath, Mustapha & Gendreau, Michel, 2022. "A two-stage stochastic programming model for selective maintenance optimization," Reliability Engineering and System Safety, Elsevier, vol. 223(C).
    12. Densing, M., 2013. "Dispatch planning using newsvendor dual problems and occupation times: Application to hydropower," European Journal of Operational Research, Elsevier, vol. 228(2), pages 321-330.
    13. Zhao, Daping & Bai, Lin & Fang, Yong & Wang, Shouyang, 2022. "Multi‐period portfolio selection with investor views based on scenario tree," Applied Mathematics and Computation, Elsevier, vol. 418(C).
    14. Castro, Jordi & Escudero, Laureano F. & Monge, Juan F., 2023. "On solving large-scale multistage stochastic optimization problems with a new specialized interior-point approach," European Journal of Operational Research, Elsevier, vol. 310(1), pages 268-285.
    15. Murat Köksalan & Ceren Tuncer Şakar, 2016. "An interactive approach to stochastic programming-based portfolio optimization," Annals of Operations Research, Springer, vol. 245(1), pages 47-66, October.
    16. Michal Kaut & Kjetil Midthun & Adrian Werner & Asgeir Tomasgard & Lars Hellemo & Marte Fodstad, 2014. "Multi-horizon stochastic programming," Computational Management Science, Springer, vol. 11(1), pages 179-193, January.
    17. Holger Heitsch & Werner Römisch, 2009. "Scenario tree reduction for multistage stochastic programs," Computational Management Science, Springer, vol. 6(2), pages 117-133, May.
    18. Consiglio, Andrea & Carollo, Angelo & Zenios, Stavros A., 2014. "Generating Multi-factor Arbitrage-Free Scenario Trees with Global Optimization," Working Papers 13-35, University of Pennsylvania, Wharton School, Weiss Center.
    19. Torres-Rincón, Samuel & Sánchez-Silva, Mauricio & Bastidas-Arteaga, Emilio, 2021. "A multistage stochastic program for the design and management of flexible infrastructure networks," Reliability Engineering and System Safety, Elsevier, vol. 210(C).
    20. Francesca Maggioni & Michal Kaut & Luca Bertazzi, 2009. "Stochastic optimization models for a single-sink transportation problem," Computational Management Science, Springer, vol. 6(2), pages 251-267, May.
    21. Kostrova, Alisa & Britz, Wolfgang & Djanibekov, Utkur & Finger, Robert, 2016. "Monte-Carlo Simulation and Stochastic Programming in Real Options Valuation: the Case of Perennial Energy Crop Cultivation," Discussion Papers 250253, University of Bonn, Institute for Food and Resource Economics.
    22. Braouezec, Yann & Grunspan, Cyril, 2016. "A new elementary geometric approach to option pricing bounds in discrete time models," European Journal of Operational Research, Elsevier, vol. 249(1), pages 270-280.
    23. Arnt-Gunnar Lium & Teodor Gabriel Crainic & Stein W. Wallace, 2009. "A Study of Demand Stochasticity in Service Network Design," Transportation Science, INFORMS, vol. 43(2), pages 144-157, May.
    24. Hongling, Liu & Chuanwen, Jiang & Yan, Zhang, 2008. "A review on risk-constrained hydropower scheduling in deregulated power market," Renewable and Sustainable Energy Reviews, Elsevier, vol. 12(5), pages 1465-1475, June.
    25. Chatwattanasiri, Nida & Coit, David W. & Wattanapongsakorn, Naruemon, 2016. "System redundancy optimization with uncertain stress-based component reliability: Minimization of regret," Reliability Engineering and System Safety, Elsevier, vol. 154(C), pages 73-83.
    26. Giorgio Consigli & Vittorio Moriggia & Sebastiano Vitali & Lorenzo Mercuri, 2018. "Optimal insurance portfolios risk-adjusted performance through dynamic stochastic programming," Computational Management Science, Springer, vol. 15(3), pages 599-632, October.
    27. Petrus Strydom, 2017. "Funding optimization for a bank integrating credit and liquidity risk," Journal of Applied Finance & Banking, SCIENPRESS Ltd, vol. 7(2), pages 1-1.
    28. Audrius Kabašinskas & Francesca Maggioni & Kristina Šutienė & Eimutis Valakevičius, 2019. "A multistage risk-averse stochastic programming model for personal savings accrual: the evidence from Lithuania," Annals of Operations Research, Springer, vol. 279(1), pages 43-70, August.
    29. Leung, Stephen C.H. & Tsang, Sally O.S. & Ng, W.L. & Wu, Yue, 2007. "A robust optimization model for multi-site production planning problem in an uncertain environment," European Journal of Operational Research, Elsevier, vol. 181(1), pages 224-238, August.
    30. Latorre, Jesus M & Cerisola, Santiago & Ramos, Andres, 2007. "Clustering algorithms for scenario tree generation: Application to natural hydro inflows," European Journal of Operational Research, Elsevier, vol. 181(3), pages 1339-1353, September.
    31. Lei, Kaixuan & Chang, Jianxia & Long, Ruihao & Wang, Yimin & Zhang, Hongxue, 2022. "Cascade hydropower station risk operation under the condition of inflow uncertainty," Energy, Elsevier, vol. 244(PA).
    32. Liu, Kun & Gao, Feng, 2017. "Scenario adjustable scheduling model with robust constraints for energy intensive corporate microgrid with wind power," Renewable Energy, Elsevier, vol. 113(C), pages 1-10.
    33. Consiglio, Andrea & De Giovanni, Domenico, 2007. "Pricing the Option to Surrender in Incomplete Markets," Finance Research Group Working Papers F-2007-02, University of Aarhus, Aarhus School of Business, Department of Business Studies.
    34. Alaeddine Faleh & Fr'ed'eric Planchet & Didier Rulli`ere, 2009. "Les G\'en\'erateurs de Sc\'enarios \'Economiques : quelle utilisation en assurance?," Papers 0911.3472, arXiv.org.
    35. Ceren Tuncer Şakar & Murat Köksalan, 2013. "A stochastic programming approach to multicriteria portfolio optimization," Journal of Global Optimization, Springer, vol. 57(2), pages 299-314, October.
    36. Consiglio, Andrea & De Giovanni, Domenico, 2008. "Evaluation of insurance products with guarantee in incomplete markets," Insurance: Mathematics and Economics, Elsevier, vol. 42(1), pages 332-342, February.
    37. Giorgio Consigli & Vittorio Moriggia & Sebastiano Vitali, 2020. "Long-term individual financial planning under stochastic dominance constraints," Annals of Operations Research, Springer, vol. 292(2), pages 973-1000, September.
    38. Patrizia Beraldi & Maria Bruni, 2014. "A clustering approach for scenario tree reduction: an application to a stochastic programming portfolio optimization problem," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 22(3), pages 934-949, October.
    39. Fan, Vivienne Hui & Dong, Zhaoyang & Meng, Ke, 2020. "Integrated distribution expansion planning considering stochastic renewable energy resources and electric vehicles," Applied Energy, Elsevier, vol. 278(C).
    40. Alaeddine Faleh & Frédéric Planchet & Didier Rullière, 2010. "Les générateurs de Scénarios Économiques : de la conception à la mesure de la qualité," Post-Print hal-00530868, HAL.
    41. Xiaojia Guo & Alexandros Beskos & Afzal Siddiqui, 2016. "The natural hedge of a gas-fired power plant," Computational Management Science, Springer, vol. 13(1), pages 63-86, January.
    42. Escudero, Laureano F. & Monge, Juan F. & Rodríguez-Chía, Antonio M., 2020. "On pricing-based equilibrium for network expansion planning. A multi-period bilevel approach under uncertainty," European Journal of Operational Research, Elsevier, vol. 287(1), pages 262-279.
    43. Luc Mercier & Pascal Hentenryck, 2011. "An anytime multistep anticipatory algorithm for online stochastic combinatorial optimization," Annals of Operations Research, Springer, vol. 184(1), pages 233-271, April.
    44. 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.
    45. Séguin, Sara & Fleten, Stein-Erik & Côté, Pascal & Pichler, Alois & Audet, Charles, 2017. "Stochastic short-term hydropower planning with inflow scenario trees," European Journal of Operational Research, Elsevier, vol. 259(3), pages 1156-1168.
    46. de Lange, Petter E. & Fleten, Stein-Erik & Gaivoronski, Alexei A., 2004. "Modeling financial reinsurance in the casualty insurance business via stochastic programming," Journal of Economic Dynamics and Control, Elsevier, vol. 28(5), pages 991-1012, February.
    47. Ghorbani, Milad & Nourelfath, Mustapha & Gendreau, Michel, 2024. "Stochastic programming for selective maintenance optimization with uncertainty in the next mission conditions," Reliability Engineering and System Safety, Elsevier, vol. 241(C).
    48. Rocha, Paula & Kuhn, Daniel, 2012. "Multistage stochastic portfolio optimisation in deregulated electricity markets using linear decision rules," European Journal of Operational Research, Elsevier, vol. 216(2), pages 397-408.
    49. Y Shi & F Wu & L K Chu & D Sculli & Y H Xu, 2011. "A portfolio approach to managing procurement risk using multi-stage stochastic programming," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(11), pages 1958-1970, November.
    50. João Flávio de Freitas Almeida & Samuel Vieira Conceição & Luiz Ricardo Pinto & Ricardo Saraiva de Camargo & Gilberto de Miranda Júnior, 2018. "Flexibility evaluation of multiechelon supply chains," PLOS ONE, Public Library of Science, vol. 13(3), pages 1-27, March.
    51. Diana Barro & Elio Canestrelli, 2016. "Combining stochastic programming and optimal control to decompose multistage stochastic optimization problems," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 38(3), pages 711-742, July.
    52. Bin Xu & Ping-an Zhong & Yenan Wu & Fangming Fu & Yuting Chen & Yunfa Zhao, 2017. "A Multiobjective Stochastic Programming Model for Hydropower Hedging Operations under Inexact Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(14), pages 4649-4667, November.
    53. Morales, J.M. & Mínguez, R. & Conejo, A.J., 2010. "A methodology to generate statistically dependent wind speed scenarios," Applied Energy, Elsevier, vol. 87(3), pages 843-855, March.
    54. Pishchulov, Grigory & Richter, Knut, 2009. "Inventory rationing and sharing in pre-sell distribution with mobile communication technologies," International Journal of Production Economics, Elsevier, vol. 121(2), pages 584-600, October.
    55. Topaloglou, Nikolas & Vladimirou, Hercules & Zenios, Stavros A., 2008. "Pricing options on scenario trees," Journal of Banking & Finance, Elsevier, vol. 32(2), pages 283-298, February.
    56. Zhaoxia Guo & Stein W. Wallace & Michal Kaut, 2019. "Vehicle Routing with Space- and Time-Correlated Stochastic Travel Times: Evaluating the Objective Function," INFORMS Journal on Computing, INFORMS, vol. 31(4), pages 654-670, October.
    57. Andris Möller & Werner Römisch & Klaus Weber, 2008. "Airline network revenue management by multistage stochastic programming," Computational Management Science, Springer, vol. 5(4), pages 355-377, October.
    58. Peter Buchholz & Dimitri Scheftelowitsch, 2019. "Computation of weighted sums of rewards for concurrent MDPs," Mathematical Methods of Operations Research, Springer;Gesellschaft für Operations Research (GOR);Nederlands Genootschap voor Besliskunde (NGB), vol. 89(1), pages 1-42, February.
    59. Fernando Rojas & Víctor Leiva & Peter Wanke & Camilo Lillo & Jimena Pascual, 2019. "Modeling lot-size with time-dependent demand based on stochastic programming and case study of drug supply in Chile," PLOS ONE, Public Library of Science, vol. 14(3), pages 1-24, March.
    60. Diana Barro & Elio Canestrelli, 2011. "Combining stochastic programming and optimal control to solve multistage stochastic optimization problems," Working Papers 2011_24, Department of Economics, University of Venice "Ca' Foscari", revised 2011.
    61. Owadally, Iqbal & Jang, Chul & Clare, Andrew, 2021. "Optimal investment for a retirement plan with deferred annuities allowing for inflation and labour income risk," European Journal of Operational Research, Elsevier, vol. 295(3), pages 1132-1146.
    62. Michal Kaut, 2014. "A copula-based heuristic for scenario generation," Computational Management Science, Springer, vol. 11(4), pages 503-516, October.
    63. Marida Bertocchi & Vittorio Moriggia & Jitka Dupačová, 2006. "Horizon and stages in applications of stochastic programming in finance," Annals of Operations Research, Springer, vol. 142(1), pages 63-78, February.
    64. Laureano F. Escudero & Juan F. Monge, 2021. "On Multistage Multiscale Stochastic Capacitated Multiple Allocation Hub Network Expansion Planning," Mathematics, MDPI, vol. 9(24), pages 1-39, December.
    65. Lulli, Guglielmo & Sen, Suvrajeet, 2006. "A heuristic procedure for stochastic integer programs with complete recourse," European Journal of Operational Research, Elsevier, vol. 171(3), pages 879-890, June.
    66. Alaeddine Faleh & Frédéric Planchet & Didier Rullière, 2010. "Les Générateurs de Scénarios Économiques : quelle utilisation en assurance ?," Post-Print hal-00433037, HAL.
    67. Michael Chen & Sanjay Mehrotra & Dávid Papp, 2015. "Scenario generation for stochastic optimization problems via the sparse grid method," Computational Optimization and Applications, Springer, vol. 62(3), pages 669-692, December.
    68. Jang Ho Kim & Woo Chang Kim & Frank J. Fabozzi, 2021. "Sparse factor model based on trend filtering," Annals of Operations Research, Springer, vol. 306(1), pages 321-342, November.
    69. Woong Bee Choi & Dongyeol Lee & Woo Chang Kim, 2021. "Extending the Scope of ALM to Social Investment: Investing in Population Growth to Enhance Sustainability of the Korean National Pension Service," Sustainability, MDPI, vol. 13(1), pages 1-14, January.
    70. Bakker, Hannah & Dunke, Fabian & Nickel, Stefan, 2020. "A structuring review on multi-stage optimization under uncertainty: Aligning concepts from theory and practice," Omega, Elsevier, vol. 96(C).
    71. Warren B. Powell, 2016. "Perspectives of approximate dynamic programming," Annals of Operations Research, Springer, vol. 241(1), pages 319-356, June.
    72. İ. Esra Büyüktahtakın, 2022. "Stage-t scenario dominance for risk-averse multi-stage stochastic mixed-integer programs," Annals of Operations Research, Springer, vol. 309(1), pages 1-35, February.
    73. Andrea Consiglio & Alessandro Staino, 2012. "A stochastic programming model for the optimal issuance of government bonds," Annals of Operations Research, Springer, vol. 193(1), pages 159-172, March.
    74. Geyer, Alois & Hanke, Michael & Weissensteiner, Alex, 2010. "No-arbitrage conditions, scenario trees, and multi-asset financial optimization," European Journal of Operational Research, Elsevier, vol. 206(3), pages 609-613, November.
    75. Alonso-Ayuso, Antonio & Carvallo, Felipe & Escudero, Laureano F. & Guignard, Monique & Pi, Jiaxing & Puranmalka, Raghav & Weintraub, Andrés, 2014. "Medium range optimization of copper extraction planning under uncertainty in future copper prices," European Journal of Operational Research, Elsevier, vol. 233(3), pages 711-726.
    76. Angelos Georghiou & Daniel Kuhn & Wolfram Wiesemann, 2019. "The decision rule approach to optimization under uncertainty: methodology and applications," Computational Management Science, Springer, vol. 16(4), pages 545-576, October.
    77. Ignacio Rios & Roger Wets & David Woodruff, 2015. "Multi-period forecasting and scenario generation with limited data," Computational Management Science, Springer, vol. 12(2), pages 267-295, April.
    78. Klibi, Walid & Martel, Alain, 2012. "Scenario-based Supply Chain Network risk modeling," European Journal of Operational Research, Elsevier, vol. 223(3), pages 644-658.
    79. Torben C. Barth & Janus Timler Holm & Jakob Lindorff Larsen & David Pisinger, 2021. "Optimization of Transfer Baggage Handling in a Major Transit Airport," SN Operations Research Forum, Springer, vol. 2(2), pages 1-35, June.
    80. M. Pilar Muñoz & Cristina Corchero & F.-Javier Heredia, 2013. "Improving Electricity Market Price Forecasting with Factor Models for the Optimal Generation Bid," International Statistical Review, International Statistical Institute, vol. 81(2), pages 289-306, August.
    81. Yonghan Feng & Sarah Ryan, 2016. "Solution sensitivity-based scenario reduction for stochastic unit commitment," Computational Management Science, Springer, vol. 13(1), pages 29-62, January.
    82. Maria Vespucci & Francesca Maggioni & Maria Bertocchi & Mario Innorta, 2012. "A stochastic model for the daily coordination of pumped storage hydro plants and wind power plants," Annals of Operations Research, Springer, vol. 193(1), pages 91-105, March.
    83. Dupacova, Jitka, 2002. "Applications of stochastic programming: Achievements and questions," European Journal of Operational Research, Elsevier, vol. 140(2), pages 281-290, July.
    84. S C H Leung & K K Lai & W-L Ng & Y Wu, 2007. "A robust optimization model for production planning of perishable products," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 58(4), pages 413-422, April.

  48. Daniel Christiansen & Stein Wallace, 1998. "Option theory and modeling under uncertainty," Annals of Operations Research, Springer, vol. 82(0), pages 59-82, August.

    Cited by:

    1. Sebastian Maier, 2021. "Re-evaluating natural resource investments under uncertainty: An alternative to limited traditional approaches," Annals of Operations Research, Springer, vol. 299(1), pages 907-937, April.
    2. Michal Kaut & Kjetil Midthun & Adrian Werner & Asgeir Tomasgard & Lars Hellemo & Marte Fodstad, 2014. "Multi-horizon stochastic programming," Computational Management Science, Springer, vol. 11(1), pages 179-193, January.
    3. Schütz, Peter & Tomasgard, Asgeir, 2011. "The impact of flexibility on operational supply chain planning," International Journal of Production Economics, Elsevier, vol. 134(2), pages 300-311, December.
    4. Svensson, Elin & Strömberg, Ann-Brith & Patriksson, Michael, 2011. "A model for optimization of process integration investments under uncertainty," Energy, Elsevier, vol. 36(5), pages 2733-2746.
    5. Chong Wang & Xu Chen, 2017. "Option pricing and coordination in the fresh produce supply chain with portfolio contracts," Annals of Operations Research, Springer, vol. 248(1), pages 471-491, January.
    6. Hui, Yer Van & Gao, Jia & Leung, Lawrence & Wallace, Stein, 2014. "Airfreight forwarder’s shipment planning under uncertainty: A two-stage stochastic programming approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 66(C), pages 83-102.
    7. Farnaz Farzan & Khashayar Mahani & Kaveh Gharieh & Mohsen Jafari, 2015. "Microgrid investment under uncertainty: a real option approach using closed form contingent analysis," Annals of Operations Research, Springer, vol. 235(1), pages 259-276, December.
    8. Li, Yemei & Shan, Yanfei & Ling, Shuang, 2022. "Research on option pricing and coordination mechanism of festival food supply chain," Socio-Economic Planning Sciences, Elsevier, vol. 81(C).
    9. Svensson, Elin & Berntsson, Thore & Strömberg, Ann-Brith, 2009. "Benefits of using an optimization methodology for identifying robust process integration investments under uncertainty--A pulp mill example," Energy Policy, Elsevier, vol. 37(3), pages 813-824, March.

  49. Asgeir Tomasgard & Jan Audestad & Shane Dye & Leen Stougie & Maarten van der Vlerk & Stein Wallace, 1998. "Modelling aspects of distributed processingin telecommunication networks," Annals of Operations Research, Springer, vol. 82(0), pages 161-185, August.

    Cited by:

    1. Poojari, Chandra A. & Varghese, Boby, 2008. "Genetic Algorithm based technique for solving Chance Constrained Problems," European Journal of Operational Research, Elsevier, vol. 185(3), pages 1128-1154, March.
    2. David P. Morton & Ward Romeijnders & Rüdiger Schultz & Leen Stougie, 2018. "The stochastic programming heritage of Maarten van der Vlerk," Computational Management Science, Springer, vol. 15(3), pages 319-323, October.
    3. Shane Dye & Leen Stougie & Asgeir Tomasgard, 2003. "The stochastic single resource service‐provision problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(8), pages 869-887, December.
    4. Stougie, Leen & Vlerk, Maarten H. van der, 2003. "Approximation in stochastic integer programming," Research Report 03A14, University of Groningen, Research Institute SOM (Systems, Organisations and Management).
    5. Zahra Mashayekhi Zadeh & Esmaile Khorram, 2012. "Convexity of chance constrained programming problems with respect to a new generalized concavity notion," Annals of Operations Research, Springer, vol. 196(1), pages 651-662, July.

  50. Kurt Jörnsten & Stein W. Wallace, 1993. "Overcoming the (Apparent) Problem of Inconsistency in Origin-Destination Matrix Estimations," Transportation Science, INFORMS, vol. 27(4), pages 374-380, November.

    Cited by:

    1. Hazelton, Martin L., 2003. "Some comments on origin-destination matrix estimation," Transportation Research Part A: Policy and Practice, Elsevier, vol. 37(10), pages 811-822, December.
    2. Yong Zhou & Thomas Sachse, 1997. "A few practical problems on the application of OD-estimation in motorway networks," TOP: An Official Journal of the Spanish Society of Statistics and Operations Research, Springer;Sociedad de Estadística e Investigación Operativa, vol. 5(1), pages 61-80, June.
    3. Chen, Anthony & Chootinan, Piya & Recker, Will, 2009. "Norm approximation method for handling traffic count inconsistencies in path flow estimator," Transportation Research Part B: Methodological, Elsevier, vol. 43(8-9), pages 852-872, September.
    4. Hazelton, Martin L., 2010. "Bayesian inference for network-based models with a linear inverse structure," Transportation Research Part B: Methodological, Elsevier, vol. 44(5), pages 674-685, June.

  51. Haugland, Dag & Wallace, Stein W., 1988. "Solving many linear programs that differ only in the righthand side," European Journal of Operational Research, Elsevier, vol. 37(3), pages 318-324, December.

    Cited by:

    1. A. Ruszczynski, 1993. "Regularized Decomposition of Stochastic Programs: Algorithmic Techniques and Numerical Results," Working Papers wp93021, International Institute for Applied Systems Analysis.
    2. Vit Prochazka & Stein W. Wallace, 2020. "Scenario tree construction driven by heuristic solutions of the optimization problem," Computational Management Science, Springer, vol. 17(2), pages 277-307, June.
    3. Nonås, Sigrid Lise, 2009. "Finding and identifying optimal inventory levels for systems with common components," European Journal of Operational Research, Elsevier, vol. 193(1), pages 98-119, February.
    4. Ruszczynski, Andrzej & Swietanowski, Artur, 1997. "Accelerating the regularized decomposition method for two stage stochastic linear problems," European Journal of Operational Research, Elsevier, vol. 101(2), pages 328-342, September.

Chapters

  1. Mike Hewitt & Walter Rei & Stein W. Wallace, 2021. "Stochastic Network Design," Springer Books, in: Teodor Gabriel Crainic & Michel Gendreau & Bernard Gendron (ed.), Network Design with Applications to Transportation and Logistics, chapter 0, pages 283-315, Springer.

    Cited by:

    1. Li, Xiangyong & Wei, Kai & Guo, Zhaoxia & Wang, Wei & Aneja, Y.P., 2021. "An exact approach for the service network design problem with heterogeneous resource constraints," Omega, Elsevier, vol. 102(C).

  2. Yewen Gu & Stein W. Wallace & Xin Wang, 2017. "The Impact of Bunker Risk Management on CO2 Emissions in Maritime Transportation Under ECA Regulation," Springer Optimization and Its Applications, in: Didem Cinar & Konstantinos Gakis & Panos M. Pardalos (ed.), Sustainable Logistics and Transportation, pages 199-224, Springer.
    See citations under working paper version above.
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