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Inbound container remarshaling problem in an automated container terminal

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  • Jin, Bo
  • Yu, Zhishan
  • Yu, Mingzhu

Abstract

In the container terminal yard, operators typically rearrange containers during the idle time of the yard cranes (so-called remarshaling operation) to improve the efficiency of future container retrieval. In this study, we address the inbound container remarshaling problem in an automated container terminal, which is aimed at determining the optimal container movement sequence during the remarshaling operation to minimize the expected time for retrieving all containers in the future. The randomness of the inbound containers’ future retrieval order and the maximum available time of the remarshaling operation are both considered. Two new integer linear programming models are proposed to formulate the problem. Numerical experiments show the outperformance of the proposed models over the existing mixed-integer programming model in the literature. Especially, one of the proposed models demonstrates considerably high computational efficiency, which is capable of solving practical-sized instances to optimality in just a few hundred of milliseconds. In addition, we investigate the bi-objective remarshaling problem in order to examine the relationship between the minimum future retrieval time and the maximum available remarshaling time.

Suggested Citation

  • Jin, Bo & Yu, Zhishan & Yu, Mingzhu, 2022. "Inbound container remarshaling problem in an automated container terminal," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 168(C).
    • Handle: RePEc:eee:transe:v:168:y:2022:i:c:s1366554522003155
    DOI: 10.1016/j.tre.2022.102938
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    References listed on IDEAS

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    Cited by:

    1. 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).

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