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Yard template planning in transshipment hubs under uncertain berthing time and position

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  • L Zhen

    (Shanghai University, Shanghai, P.R. China)

Abstract

This paper is concerned with yard management in transshipment hubs, where a consignment strategy is often used to reduce reshuffling and vessel turnaround time. This strategy groups unloaded containers according to their destination vessels. In this strategy, yard template determines the assignment of the spaces (sub-blocks) in the yard to the vessels. This paper studies how to make a good yard template under uncertain environment, for example, uncertain berthing time and berthing positions of the arriving vessels. To reduce the potential traffic congestion of prime movers, the workload distribution of sub-blocks within the yard is considered. A mixed integer programming model is formulated to minimize the expected value of the route length of container transshipping flows in the yard. Moreover, a heuristic algorithm is developed for solving the problem in large-scale realistic environments. Numerical experiments are conducted to validate the efficiency of the proposed algorithm.

Suggested Citation

  • L Zhen, 2013. "Yard template planning in transshipment hubs under uncertain berthing time and position," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 64(9), pages 1418-1428, September.
    • Handle: RePEc:pal:jorsoc:v:64:y:2013:i:9:p:1418-1428
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    Citations

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    Cited by:

    1. Jaap-Jan Steeg & Menno Oudshoorn & Neil Yorke-Smith, 2023. "Berth planning and real-time disruption recovery: a simulation study for a tidal port," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 70-110, March.
    2. Hyun Ji Park & Sung Won Cho & Abhilasha Nanda & Jin Hyoung Park, 2023. "Data-driven dynamic stacking strategy for export containers in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 35(1), pages 170-195, March.
    3. Liu, Changchun, 2020. "Iterative heuristic for simultaneous allocations of berths, quay cranes, and yards under practical situations," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 133(C).
    4. Zhen, Lu, 2014. "Container yard template planning under uncertain maritime market," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 69(C), pages 199-217.
    5. Zhen, Lu & Xu, Zhou & Wang, Kai & Ding, Yi, 2016. "Multi-period yard template planning in container terminals," Transportation Research Part B: Methodological, Elsevier, vol. 93(PB), pages 700-719.
    6. 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.
    7. Junyi Zhong & Jiazhen Huo, 2022. "Impacts of Power Structure on Introduction of Green Store Brand," Sustainability, MDPI, vol. 14(19), pages 1-33, September.
    8. 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.
    9. Akash Gupta & Debjit Roy & René de Koster & Sampanna Parhi, 2017. "Optimal stack layout in a sea container terminal with automated lifting vehicles," International Journal of Production Research, Taylor & Francis Journals, vol. 55(13), pages 3747-3765, July.
    10. Matthew E. H. Petering & Yong Wu & Wenkai Li & Mark Goh & Robert Souza & Katta G. Murty, 2017. "Real-time container storage location assignment at a seaport container transshipment terminal: dispersion levels, yard templates, and sensitivity analyses," Flexible Services and Manufacturing Journal, Springer, vol. 29(3), pages 369-402, December.
    11. Zhen, Lu, 2016. "Modeling of yard congestion and optimization of yard template in container ports," Transportation Research Part B: Methodological, Elsevier, vol. 90(C), pages 83-104.
    12. Zhou, Chenhao & Wang, Wencheng & Li, Haobin, 2020. "Container reshuffling considered space allocation problem in container terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 136(C).

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