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Heuristic algorithms for routing yard‐side equipment for minimizing loading times in container terminals

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  • Ki Young Kim
  • Kap Hwan Kim

Abstract

This paper discusses a method of routing yard‐side equipment during loading operations in container terminals. Both the route of yard‐side equipment (such as transfer cranes or straddle carriers) and the number of containers picked up at each yard‐bay is determined simultaneously. The objective of the problem in this paper is to minimize the total container‐handling time in a yard. The size of the search space can be greatly reduced by utilizing inherent properties of the optimal solution. An encoding method is introduced to represent solutions in the search space. A genetic algorithm and a beam search algorithm are suggested to solve the above problem. Numerical experiments have been conducted to compare the performances of the proposed heuristic algorithms against each other and against that of the optimal solution. © 2003 Wiley Periodicals, Inc. Naval Research Logistics 50: 498–514, 2003

Suggested Citation

  • Ki Young Kim & Kap Hwan Kim, 2003. "Heuristic algorithms for routing yard‐side equipment for minimizing loading times in container terminals," Naval Research Logistics (NRL), John Wiley & Sons, vol. 50(5), pages 498-514, August.
    • Handle: RePEc:wly:navres:v:50:y:2003:i:5:p:498-514
    DOI: 10.1002/nav.10076
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    References listed on IDEAS

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    1. Kap Hwan Kim & Ki Young Kim, 1999. "An Optimal Routing Algorithm for a Transfer Crane in Port Container Terminals," Transportation Science, INFORMS, vol. 33(1), pages 17-33, February.
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    Cited by:

    1. Vallada, Eva & Belenguer, Jose Manuel & Villa, Fulgencia & Alvarez-Valdes, Ramon, 2023. "Models and algorithms for a yard crane scheduling problem in container ports," European Journal of Operational Research, Elsevier, vol. 309(2), pages 910-924.
    2. Zhou, Chenhao & Lee, Byung Kwon & Li, Haobin, 2020. "Integrated optimization on yard crane scheduling and vehicle positioning at container yards," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 138(C).
    3. Yu, Dayong & Li, Dong & Sha, Mei & Zhang, Dali, 2019. "Carbon-efficient deployment of electric rubber-tyred gantry cranes in container terminals with workload uncertainty," European Journal of Operational Research, Elsevier, vol. 275(2), pages 552-569.
    4. Galle, Virgile & Barnhart, Cynthia & Jaillet, Patrick, 2018. "Yard Crane Scheduling for container storage, retrieval, and relocation," European Journal of Operational Research, Elsevier, vol. 271(1), pages 288-316.
    5. 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).

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