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Optimizing berth allocation and storage space in direct transshipment operations at container terminals

Author

Listed:
  • Qingcheng Zeng

    (School of Transportation Management, Dalian Maritime University)

  • Yuanjun Feng

    (School of Transportation Management, Dalian Maritime University)

  • Zigen Chen

    (School of Transportation Management, Dalian Maritime University)

Abstract

Direct transshipment is a new mode in the transshipment of containers, whereby a part of transshipment containers are directly loaded onto mother vessels from feeder vessels, instead of being buffered in the storage yard. To implement it efficiently, several decision issues need to be addressed, one of which is berth allocation and storage space assignment. An integrated model is developed to optimize berth allocation, the storage space assignment, and the direct transshipment plan simultaneously. The objective is to minimize the operational cost of trucks and yard cranes, and the delay cost of vessels. To solve this problem, a heuristic-based algorithm is designed. Numerical experiments are provided to illustrate the validity of the proposed model and algorithms. The results indicate that the direct transshipment mode can decrease operational costs significantly. The model considers benefits for both terminal operators and carriers, promoting the use of direct transshipment as an efficient method to improve transshipment efficiency and thus enhance the competitiveness of container hub ports.

Suggested Citation

  • 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.
    • Handle: RePEc:pal:marecl:v:19:y:2017:i:3:d:10.1057_mel.2016.2
    DOI: 10.1057/mel.2016.2
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    References listed on IDEAS

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    Cited by:

    1. 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.
    2. Guo, Liming & Zheng, Jianfeng & Du, Haoming & Du, Jian & Zhu, Zhihong, 2022. "The berth assignment and allocation problem considering cooperative liner carriers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 164(C).
    3. Nellen, Nicole & Lange, Ann-Kathrin & Jahn, Carlos, 2022. "Potentials of direct container transshipment at container terminals," Chapters from the Proceedings of the Hamburg International Conference of Logistics (HICL), in: Kersten, Wolfgang & Jahn, Carlos & Blecker, Thorsten & Ringle, Christian M. (ed.), Changing Tides: The New Role of Resilience and Sustainability in Logistics and Supply Chain Management – Innovative Approaches for the Shift to a New , volume 33, pages 679-705, Hamburg University of Technology (TUHH), Institute of Business Logistics and General Management.
    4. 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).
    5. Dhirendra Prajapati & Yash Daultani & Naoufel Cheikhrouhou & Saurabh Pratap, 2020. "Identification and ranking of key factors impacting efficiency of Indian shipping logistics sector," OPSEARCH, Springer;Operational Research Society of India, vol. 57(3), pages 765-786, September.
    6. 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.

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