Column generation for low carbon berth allocation under uncertainty
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DOI: 10.1080/01605682.2020.1776168
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Cited by:
- Xuecheng Tian & Ran Yan & Jingwen Qi & Dan Zhuge & Hans Wang, 2022. "A Bi-Level Programming Model for China’s Marine Domestic Emission Control Area Design," Sustainability, MDPI, vol. 14(6), pages 1-15, March.
- Jingwen Qi & Hans Wang & Jianfeng Zheng, 2022. "Shore Power Deployment Problem—A Case Study of a Chinese Container Shipping Network," Sustainability, MDPI, vol. 14(11), pages 1-13, June.
- 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.
- Cao, Zhen & Wang, Wenyuan & Jiang, Ying & Xu, Xinglu & Xu, Yunzhuo & Guo, Zijian, 2022. "Joint berth allocation and ship loader scheduling under the rotary loading mode in coal export terminals," Transportation Research Part B: Methodological, Elsevier, vol. 162(C), pages 229-260.
- Buddhi A. Weerasinghe & H. Niles Perera & Xiwen Bai, 2024. "Optimizing container terminal operations: a systematic review of operations research applications," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 26(2), pages 307-341, June.
- João Luiz Marques Andrade & Gustavo Campos Menezes, 2023. "A column generation-based heuristic to solve the integrated planning, scheduling, yard allocation and berth allocation problem in bulk ports," Journal of Heuristics, Springer, vol. 29(1), pages 39-76, February.
- 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.
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