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Optimal policies for the berth allocation problem under stochastic nature

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Cited by:

  1. Ya Xu & Yuquan Du & Yongjian Li & Heng Zhang, 2021. "Collaborative emergency berth scheduling based on decentralized decision and price mechanism," Annals of Operations Research, Springer, vol. 298(1), pages 525-554, March.
  2. Yu, Jingjing & Tang, Guolei & Song, Xiangqun, 2022. "Collaboration of vessel speed optimization with berth allocation and quay crane assignment considering vessel service differentiation," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 160(C).
  3. Changchun Liu & Xi Xiang & Li Zheng, 2017. "Two decision models for berth allocation problem under uncertainty considering service level," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 312-344, December.
  4. Jia, Shuai & Li, Chung-Lun & Xu, Zhou, 2020. "A simulation optimization method for deep-sea vessel berth planning and feeder arrival scheduling at a container port," Transportation Research Part B: Methodological, Elsevier, vol. 142(C), pages 174-196.
  5. Mengzhi Ma & Houming Fan & Xiaodan Jiang & Zhenfeng Guo, 2019. "Truck Arrivals Scheduling with Vessel Dependent Time Windows to Reduce Carbon Emissions," Sustainability, MDPI, vol. 11(22), pages 1-26, November.
  6. Shaojian Qu & Xinqi Li & Chang Liu & Xufeng Tang & Zhisheng Peng & Ying Ji, 2023. "Two-Stage Robust Programming Modeling for Continuous Berth Allocation with Uncertain Vessel Arrival Time," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
  7. Rodrigues, Filipe & Agra, Agostinho, 2021. "An exact robust approach for the integrated berth allocation and quay crane scheduling problem under uncertain arrival times," European Journal of Operational Research, Elsevier, vol. 295(2), pages 499-516.
  8. Pedro A. P. Dias & Hugo Yoshizaki & Patricia Favero & Jose Geraldo Vidal Vieira, 2019. "Daytime or Overnight Deliveries? Perceptions of Drivers and Retailers in São Paulo City," Sustainability, MDPI, vol. 11(22), pages 1-16, November.
  9. Zhen, Lu & Zhuge, Dan & Wang, Shuaian & Wang, Kai, 2022. "Integrated berth and yard space allocation under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 1-27.
  10. Agra, Agostinho & Rodrigues, Filipe, 2022. "Distributionally robust optimization for the berth allocation problem under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 1-24.
  11. Rodrigues, Filipe & Agra, Agostinho, 2022. "Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey," European Journal of Operational Research, Elsevier, vol. 303(2), pages 501-524.
  12. T. R. Lalita & G. S. R. Murthy, 2022. "Compact ILP formulations for a class of solutions to berth allocation and quay crane scheduling problems," OPSEARCH, Springer;Operational Research Society of India, vol. 59(1), pages 413-439, March.
  13. Changchun Liu & Xi Xiang & Li Zheng, 2020. "A two-stage robust optimization approach for the berth allocation problem under uncertainty," Flexible Services and Manufacturing Journal, Springer, vol. 32(2), pages 425-452, June.
  14. Haoqi Xie & Daniela Ambrosino, 2025. "Operations Research, Machine Learning, and Integrated Techniques for Decision Problems in the Seaside Area of Container Terminals," SN Operations Research Forum, Springer, vol. 6(2), pages 1-51, June.
  15. Wang, Xinchang & Meng, Qiang, 2019. "Optimal price decisions for joint ventures between port operators and shipping lines under the congestion effect," European Journal of Operational Research, Elsevier, vol. 273(2), pages 695-707.
  16. Daniela Paddeu & Paulus Aditjandra, 2020. "Shaping Urban Freight Systems via a Participatory Approach to Inform Policy-Making," Sustainability, MDPI, vol. 12(1), pages 1-15, January.
  17. Iris, Çağatay & Lam, Jasmine Siu Lee, 2019. "Recoverable robustness in weekly berth and quay crane planning," Transportation Research Part B: Methodological, Elsevier, vol. 122(C), pages 365-389.
  18. Xiang, Xi & Liu, Changchun, 2021. "An expanded robust optimisation approach for the berth allocation problem considering uncertain operation time," Omega, Elsevier, vol. 103(C).
  19. Hsien-Pin Hsu & Tai-Lin Chiang & Chia-Nan Wang & Hsin-Pin Fu & Chien-Chang Chou, 2019. "A Hybrid GA with Variable Quay Crane Assignment for Solving Berth Allocation Problem and Quay Crane Assignment Problem Simultaneously," Sustainability, MDPI, vol. 11(7), pages 1-21, April.
  20. Xiang, Xi & Liu, Changchun, 2021. "An almost robust optimization model for integrated berth allocation and quay crane assignment problem," Omega, Elsevier, vol. 104(C).
  21. Xiang, Xi & Liu, Changchun & Miao, Lixin, 2017. "A bi-objective robust model for berth allocation scheduling under uncertainty," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 106(C), pages 294-319.
  22. Xavier Schepler & Nabil Absi & Dominique Feillet & Eric Sanlaville, 2019. "The stochastic discrete berth allocation problem," EURO Journal on Transportation and Logistics, Springer;EURO - The Association of European Operational Research Societies, vol. 8(4), pages 363-396, December.
  23. Correcher, Juan Francisco & Van den Bossche, Thomas & Alvarez-Valdes, Ramon & Vanden Berghe, Greet, 2019. "The berth allocation problem in terminals with irregular layouts," European Journal of Operational Research, Elsevier, vol. 272(3), pages 1096-1108.
  24. Agra, Agostinho & Oliveira, Maryse, 2018. "MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem," European Journal of Operational Research, Elsevier, vol. 264(1), pages 138-148.
  25. 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.
  26. Fan Bu & Heather Nachtmann, 2023. "Literature review and comparative analysis of inland waterways transport: “Container on Barge”," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 25(1), pages 140-173, March.
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