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An operational planning model for the dynamic vehicle allocation problem with uncertain demands

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  1. Yan, Shangyao & Bernstein, David & Sheffi, Yosef, 1995. "Intermodal pricing using network flow techniques," Transportation Research Part B: Methodological, Elsevier, vol. 29(3), pages 171-180, June.
  2. Caballini, Claudia & Sacone, Simona & Saeednia, Mahnam, 2016. "Cooperation among truck carriers in seaport containerized transportation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 93(C), pages 38-56.
  3. Jean-François Cordeau & Paolo Toth & Daniele Vigo, 1998. "A Survey of Optimization Models for Train Routing and Scheduling," Transportation Science, INFORMS, vol. 32(4), pages 380-404, November.
  4. Claudia Archetti & Martin Savelsbergh, 2009. "The Trip Scheduling Problem," Transportation Science, INFORMS, vol. 43(4), pages 417-431, November.
  5. Martin W.P Savelsbergh & Marlin W. Ulmer, 2022. "Challenges and opportunities in crowdsourced delivery planning and operations," 4OR, Springer, vol. 20(1), pages 1-21, March.
  6. Hassan S. Hayajneh & Xuewei Zhang, 2020. "Logistics Design for Mobile Battery Energy Storage Systems," Energies, MDPI, vol. 13(5), pages 1-14, March.
  7. Scott, Alex, 2015. "The value of information sharing for truckload shippers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 81(C), pages 203-214.
  8. W. J. A. Heeswijk & M. R. K. Mes & J. M. J. Schutten & W. H. M. Zijm, 2018. "Freight consolidation in intermodal networks with reloads," Flexible Services and Manufacturing Journal, Springer, vol. 30(3), pages 452-485, September.
  9. Berbeglia, Gerardo & Cordeau, Jean-François & Laporte, Gilbert, 2010. "Dynamic pickup and delivery problems," European Journal of Operational Research, Elsevier, vol. 202(1), pages 8-15, April.
  10. Gabor, A.F. & Dekker, R. & van Dijk, T. & van Scheepstal, P., 2009. "Scheduling deliveries under uncertainty," ERIM Report Series Research in Management ERS-2009-040-LIS, Erasmus Research Institute of Management (ERIM), ERIM is the joint research institute of the Rotterdam School of Management, Erasmus University and the Erasmus School of Economics (ESE) at Erasmus University Rotterdam.
  11. Hall, Randolph W. & Zhong, Hongsheng, 2002. "Decentralized inventory control policies for equipment management in a many-to-many network," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(10), pages 849-865, December.
  12. Gronalt, Manfred & Hartl, Richard F. & Reimann, Marc, 2003. "New savings based algorithms for time constrained pickup and delivery of full truckloads," European Journal of Operational Research, Elsevier, vol. 151(3), pages 520-535, December.
  13. Alex Scott & Chris Parker & Christopher W. Craighead, 2017. "Service Refusals in Supply Chains: Drivers and Deterrents of Freight Rejection," Transportation Science, INFORMS, vol. 51(4), pages 1086-1101, November.
  14. Kraft, Edwin R., 2002. "Scheduling railway freight delivery appointments using a bid price approach," Transportation Research Part A: Policy and Practice, Elsevier, vol. 36(2), pages 145-165, February.
  15. Hall, Randolph W., 1999. "Stochastic freight flow patterns: implications for fleet optimization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 33(6), pages 449-465, August.
  16. Milenković, Miloš S. & Bojović, Nebojša J. & Švadlenka, Libor & Melichar, Vlastimil, 2015. "A stochastic model predictive control to heterogeneous rail freight car fleet sizing problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 82(C), pages 162-198.
  17. Zolfagharinia, Hossein & Haughton, Michael, 2018. "The importance of considering non-linear layover and delay costs for local truckers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 109(C), pages 331-355.
  18. Bojovic, Nebojsa J., 2002. "A general system theory approach to rail freight car fleet sizing," European Journal of Operational Research, Elsevier, vol. 136(1), pages 136-172, January.
  19. Zolfagharinia, Hossein & Haughton, Michael, 2014. "The benefit of advance load information for truckload carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 70(C), pages 34-54.
  20. Zolfagharinia, Hossein & Haughton, Michael, 2016. "Effective truckload dispatch decision methods with incomplete advance load information," European Journal of Operational Research, Elsevier, vol. 252(1), pages 103-121.
  21. Gregory A. Godfrey & Warren B. Powell, 2002. "An Adaptive Dynamic Programming Algorithm for Dynamic Fleet Management, I: Single Period Travel Times," Transportation Science, INFORMS, vol. 36(1), pages 21-39, February.
  22. Miguel Andres Figliozzi & Hani S. Mahmassani & Patrick Jaillet, 2007. "Pricing in Dynamic Vehicle Routing Problems," Transportation Science, INFORMS, vol. 41(3), pages 302-318, August.
  23. Martin Biel & Mikael Johansson, 2022. "Efficient Stochastic Programming in Julia," INFORMS Journal on Computing, INFORMS, vol. 34(4), pages 1885-1902, July.
  24. Silva, Thiago A.O. & de Souza, Mauricio C., 2020. "Surgical scheduling under uncertainty by approximate dynamic programming," Omega, Elsevier, vol. 95(C).
  25. Kaj Holmberg & Martin Joborn & Jan T. Lundgren, 1998. "Improved Empty Freight Car Distribution," Transportation Science, INFORMS, vol. 32(2), pages 163-173, May.
  26. Warren B. Powell & Michael T. Towns & Arun Marar, 2000. "On the Value of Optimal Myopic Solutions for Dynamic Routing and Scheduling Problems in the Presence of User Noncompliance," Transportation Science, INFORMS, vol. 34(1), pages 67-85, February.
  27. Alan L. Erera & Juan C. Morales & Martin Savelsbergh, 2009. "Robust Optimization for Empty Repositioning Problems," Operations Research, INFORMS, vol. 57(2), pages 468-483, April.
  28. Warren B. Powell, 2016. "Perspectives of approximate dynamic programming," Annals of Operations Research, Springer, vol. 241(1), pages 319-356, June.
  29. Laha, A. K. & Putatunda, Sayan, 2017. "Real Time Location Prediction with Taxi-GPS Data Streams," IIMA Working Papers WP 2017-03-02, Indian Institute of Management Ahmedabad, Research and Publication Department.
  30. Zolfagharinia, Hossein & Haughton, Michael A., 2017. "Operational flexibility in the truckload trucking industry," Transportation Research Part B: Methodological, Elsevier, vol. 104(C), pages 437-460.
  31. Warren Powell & Andrzej Ruszczyński & Huseyin Topaloglu, 2004. "Learning Algorithms for Separable Approximations of Discrete Stochastic Optimization Problems," Mathematics of Operations Research, INFORMS, vol. 29(4), pages 814-836, November.
  32. Shi, Ning & Song, Haiqing & Powell, Warren B., 2014. "The dynamic fleet management problem with uncertain demand and customer chosen service level," International Journal of Production Economics, Elsevier, vol. 148(C), pages 110-121.
  33. Antoine Sauré & Jonathan Patrick & Martin L. Puterman, 2015. "Simulation-Based Approximate Policy Iteration with Generalized Logistic Functions," INFORMS Journal on Computing, INFORMS, vol. 27(3), pages 579-595, August.
  34. Jian Yang & Patrick Jaillet & Hani Mahmassani, 2004. "Real-Time Multivehicle Truckload Pickup and Delivery Problems," Transportation Science, INFORMS, vol. 38(2), pages 135-148, May.
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