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Feeder vessel management at container transshipment terminals

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  • Lee, Der-Horng
  • Jin, Jian Gang

Abstract

The feeder vessel management problem consists of designing preferred berthing positions and service time for cyclically visiting feeders, and allocating storage yard space to the transshipment flows between mother vessels and feeders. We consider the above three tactical decision problems simultaneously for a container transshipment terminal with an eye toward the quayside congestion and the housekeeping cost of container movements. The integrated problem is formulated as a mixed integer programming model and solved by a memetic heuristic approach. A comprehensive computational experiment is conducted to show the effectiveness of the heuristic and the improvement upon real-world terminal operations.

Suggested Citation

  • Lee, Der-Horng & Jin, Jian Gang, 2013. "Feeder vessel management at container transshipment terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 49(1), pages 201-216.
    • Handle: RePEc:eee:transe:v:49:y:2013:i:1:p:201-216
    DOI: 10.1016/j.tre.2012.08.006
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    Cited by:

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    2. H. L. Ma & S. H. Chung & H. K. Chan & Li Cui, 2019. "An integrated model for berth and yard planning in container terminals with multi-continuous berth layout," Annals of Operations Research, Springer, vol. 273(1), pages 409-431, February.
    3. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    4. Zhang, An & Qi, Xiangtong & Li, Guanhua, 2020. "Machine scheduling with soft precedence constraints," European Journal of Operational Research, Elsevier, vol. 282(2), pages 491-505.
    5. Qingcheng Zeng & Yuanjun Feng & Zigen Chen, 2017. "Optimizing berth allocation and storage space in direct transshipment operations at container terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 19(3), pages 474-503, August.
    6. Tao, Yi & Lee, Chung-Yee, 2015. "Joint planning of berth and yard allocation in transshipment terminals using multi-cluster stacking strategy," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 83(C), pages 34-50.
    7. 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.
    8. Robenek, Tomáš & Umang, Nitish & Bierlaire, Michel & Ropke, Stefan, 2014. "A branch-and-price algorithm to solve the integrated berth allocation and yard assignment problem in bulk ports," European Journal of Operational Research, Elsevier, vol. 235(2), pages 399-411.
    9. Guo, Liming & Zheng, Jianfeng & Liang, Jinpeng & Wang, Shuaian, 2023. "Column generation for the multi-port berth allocation problem with port cooperation stability," Transportation Research Part B: Methodological, Elsevier, vol. 171(C), pages 3-28.
    10. Nils Boysen & Simon Emde & Konrad Stephan & Markus Weiß, 2015. "Synchronization in hub terminals with the circular arrangement problem," Naval Research Logistics (NRL), John Wiley & Sons, vol. 62(6), pages 454-469, September.
    11. Jin, Jian Gang & Lee, Der-Horng & Hu, Hao, 2015. "Tactical berth and yard template design at container transshipment terminals: A column generation based approach," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 73(C), pages 168-184.
    12. Guo, Liming & Zheng, Jianfeng & Du, Jian & Gao, Ziyou & Fagerholt, Kjetil, 2024. "Integrated planning of berth allocation, quay crane assignment and yard assignment in multiple cooperative terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    13. Liu, Ming & Lee, Chung-Yee & Zhang, Zizhen & Chu, Chengbin, 2016. "Bi-objective optimization for the container terminal integrated planning," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 720-749.
    14. Yan, Baicheng & Jin, Jian Gang & Zhu, Xiaoning & Lee, Der-Horng & Wang, Li & Wang, Hua, 2020. "Integrated planning of train schedule template and container transshipment operation in seaport railway terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 142(C).
    15. Eduardo Lalla-Ruiz & Stefan Voß & Christopher Expósito-Izquierdo & Belén Melián-Batista & J. Marcos Moreno-Vega, 2017. "A POPMUSIC-based approach for the berth allocation problem under time-dependent limitations," Annals of Operations Research, Springer, vol. 253(2), pages 871-897, June.
    16. Gharehgozli, A.H. & Roy, D. & de Koster, M.B.M., 2014. "Sea Container Terminals," ERIM Report Series Research in Management ERS-2014-009-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.
    17. Imai, Akio & Yamakawa, Yukiko & Huang, Kuancheng, 2014. "The strategic berth template problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 72(C), pages 77-100.

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