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An optimization model for storage yard management in transshipment hubs

In: Container Terminals and Cargo Systems

Author

Listed:
  • Loo Hay Lee

    (National University of Singapore)

  • Ek Peng Chew

    (National University of Singapore)

  • Kok Choon Tan

    (National University of Singapore)

  • Yongbin Han

    (National University of Singapore)

Abstract

This paper studies a yard storage allocation problem in a transshipment hub where there is a great number of loading and unloading activities. The primary challenge is to efficiently shift containers between the vessels and the storage area so that reshuffling and traffic congestion is minimized. In particular, to reduce reshuffling, a consignment strategy is used. This strategy groups unloaded containers according to their destination vessel. To reduce traffic congestion, a new workload balancing protocol is proposed. A mixed integer-programming model is then formulated to determine the minimum number of yard cranes to deploy and the location where unloaded containers should be stored. The model is solved using CPLEX. Due to the size and complexity of this model two heuristics are also developed. The first is a sequential method while the second is a column generation method. A bound is developed that allows the quality of the solution to be judged. Lastly, a numerical investigation is provided and demonstrates that the algorithms perform adequately on most cases considered.

Suggested Citation

  • Loo Hay Lee & Ek Peng Chew & Kok Choon Tan & Yongbin Han, 2007. "An optimization model for storage yard management in transshipment hubs," Springer Books, in: Kap Hwan Kim & Hans-Otto Günther (ed.), Container Terminals and Cargo Systems, pages 107-129, Springer.
    • Handle: RePEc:spr:sprchp:978-3-540-49550-5_6
    DOI: 10.1007/978-3-540-49550-5_6
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    Citations

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    Cited by:

    1. Feng, Yuanjun & Song, Dong-Ping & Li, Dong, 2022. "Smart stacking for import containers using customer information at automated container terminals," European Journal of Operational Research, Elsevier, vol. 301(2), pages 502-522.
    2. 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.
    3. Gao, Yinping & Zhen, Lu, 2024. "A decision framework for decomposed stowage planning for containers," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    4. 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.

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