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An Efficient Procedure for Inserting Buffers to Generate Robust Berth Plans in Container Terminals

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  • Yangcan Wu
  • Lixin Miao
  • Ya Jia

Abstract

Uncertainty is an inevitable aspect of seaside operations in container terminals. Operators therefore need to find robust plans that can resist the impact of uncertainties. Instead of solving a stochastic berth allocation problem, this paper proposes an efficient procedure for inserting buffers into baseline berth plans to strengthen the schedule stability. Such a method is highly versatile and compatible with various solutions to berth allocation problem with different objectives. Numerical results obtained by using simulation on a representative set of instances of the problem are reported; these indicate that the proposed procedure not only increases the flexibility of operations with minor loss of resource utilization but also addresses the impact of service priority. Hence, the contribution in this paper will provide a short path that bridges the gap between berth allocation problem in deterministic and stochastic circumstances.

Suggested Citation

  • Yangcan Wu & Lixin Miao & Ya Jia, 2021. "An Efficient Procedure for Inserting Buffers to Generate Robust Berth Plans in Container Terminals," Discrete Dynamics in Nature and Society, Hindawi, vol. 2021, pages 1-9, March.
    • Handle: RePEc:hin:jnddns:6619538
    DOI: 10.1155/2021/6619538
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    Cited by:

    1. 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).
    2. Shaojian Qu & Xinqi Li & Chang Liu & Xufeng Tang & Zhisheng Peng & Ying Ji, 2023. "Two-Stage Robust Programming Modeling for Continuous Berth Allocation with Uncertain Vessel Arrival Time," Sustainability, MDPI, vol. 15(13), pages 1-30, July.
    3. Agra, Agostinho & Rodrigues, Filipe, 2022. "Distributionally robust optimization for the berth allocation problem under uncertainty," Transportation Research Part B: Methodological, Elsevier, vol. 164(C), pages 1-24.
    4. Rodrigues, Filipe & Agra, Agostinho, 2022. "Berth allocation and quay crane assignment/scheduling problem under uncertainty: A survey," European Journal of Operational Research, Elsevier, vol. 303(2), pages 501-524.
    5. Shu-Chuan Chang & Ming-Hua Lin & Jung-Fa Tsai, 2024. "An Optimization Approach to Berth Allocation Problems," Mathematics, MDPI, vol. 12(5), pages 1-16, March.

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