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Terminal and yard allocation problem for a container transshipment hub with multiple terminals

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  • Lee, Der-Horng
  • Jin, Jian Gang
  • Chen, Jiang Hang

Abstract

This paper presents an integer programming model for the terminal and yard allocation problem in a large container transshipment hub with multiple terminals. The model integrates two decisions: terminal allocation for vessels and yard allocation for transshipment container movements within a terminal as well as between terminals. The objective function aims to minimize the total inter-terminal and intra-terminal handling costs generated by transshipment flows. To solve the problem, we develop a 2-level heuristic algorithm to obtain high quality solutions in an efficient way. Computational experiments show the effectiveness of the proposed approach.

Suggested Citation

  • Lee, Der-Horng & Jin, Jian Gang & Chen, Jiang Hang, 2012. "Terminal and yard allocation problem for a container transshipment hub with multiple terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 48(2), pages 516-528.
    • Handle: RePEc:eee:transe:v:48:y:2012:i:2:p:516-528
    DOI: 10.1016/j.tre.2011.09.004
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    References listed on IDEAS

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    1. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
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    6. Giallombardo, Giovanni & Moccia, Luigi & Salani, Matteo & Vacca, Ilaria, 2010. "Modeling and solving the Tactical Berth Allocation Problem," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 232-245, February.
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    Cited by:

    1. Liu, Baoli & Li, Zhi-Chun & Wang, Yadong, 2022. "A two-stage stochastic programming model for seaport berth and channel planning with uncertainties in ship arrival and handling times," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 167(C).
    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. Fazi, Stefano, 2019. "A decision-support framework for the stowage of maritime containers in inland shipping," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 131(C), pages 1-23.
    4. 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.
    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. Carlo, Héctor J. & Vis, Iris F.A. & Roodbergen, Kees Jan, 2014. "Storage yard operations in container terminals: Literature overview, trends, and research directions," European Journal of Operational Research, Elsevier, vol. 235(2), pages 412-430.
    7. Amir Gharehgozli & Nima Zaerpour & Rene Koster, 2020. "Container terminal layout design: transition and future," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 22(4), pages 610-639, December.
    8. Leonard Heilig & Stefan Voß, 2017. "Inter-terminal transportation: an annotated bibliography and research agenda," Flexible Services and Manufacturing Journal, Springer, vol. 29(1), pages 35-63, March.
    9. Sung Won Cho & Hyun Ji Park & Chulung Lee, 2021. "An integrated method for berth allocation and quay crane assignment to allow for reassignment of vessels to other terminals," Maritime Economics & Logistics, Palgrave Macmillan;International Association of Maritime Economists (IAME), vol. 23(1), pages 123-153, March.
    10. Mar-Ortiz, Julio & Castillo-García, Norberto & Gracia, María D., 2020. "A decision support system for a capacity management problem at a container terminal," International Journal of Production Economics, Elsevier, vol. 222(C).
    11. Yang, Lingyi & Ng, Tsan Sheng & Lee, Loo Hay, 2022. "A robust approximation for yard template optimization under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 160(C), pages 21-53.
    12. Schepler, Xavier & Balev, Stefan & Michel, Sophie & Sanlaville, Éric, 2017. "Global planning in a multi-terminal and multi-modal maritime container port," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 100(C), pages 38-62.
    13. 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).
    14. Chen, Xiaojing & Li, Feng & Jia, Bin & Wu, Jianjun & Gao, Ziyou & Liu, Ronghui, 2021. "Optimizing storage location assignment in an automotive Ro-Ro terminal," Transportation Research Part B: Methodological, Elsevier, vol. 143(C), pages 249-281.
    15. 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.
    16. Lu Zhen & Shuaian Wang & Kai Wang, 2016. "Terminal allocation problem in a transshipment hub considering bunker consumption," Naval Research Logistics (NRL), John Wiley & Sons, vol. 63(7), pages 529-548, October.
    17. 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.

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