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Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals

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Listed:
  • Chenhao Zhou

    (School of Management, Northwestern Polytechnical University
    National University of Singapore)

  • Qitong Zhao

    (School of Business, Singapore University of Social Sciences)

  • Haobin Li

    (National University of Singapore)

Abstract

To improve the efficiency of the container terminals, we propose a simulation optimization iteration approach to integrate the yard allocation problem (YAP) with the vehicle congestion problem. YAP is formulated as a mixed integer programming model to reduce the total job travel time. A discrete event simulation model is developed to simulate the terminal operation and traffic movement within the terminal. The approach solves two models iteratively to improve the allocation decisions. Experiment results show that this approach can effectively generate yard allocation decisions, which reduce the overall traffic time comparing with traditional intuitive rules.

Suggested Citation

  • Chenhao Zhou & Qitong Zhao & Haobin Li, 2021. "Simulation optimization iteration approach on traffic integrated yard allocation problem in transshipment terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(3), pages 663-688, September.
    • Handle: RePEc:spr:flsman:v:33:y:2021:i:3:d:10.1007_s10696-020-09393-5
    DOI: 10.1007/s10696-020-09393-5
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    References listed on IDEAS

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    Cited by:

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    2. Davies K. Bett & Islam Ali & Mohamed Gheith & Amr Eltawil, 2024. "Simulation-Based Optimization of Truck Appointment Systems in Container Terminals: A Dual Transactions Approach with Improved Congestion Factor Representation," Logistics, MDPI, vol. 8(3), pages 1-30, August.
    3. Rajkumar, G. & Saravanan, M. & Marimuthu, P., 2023. "Developing a numerical model to analyze the production process of PMEDM," Resources Policy, Elsevier, vol. 80(C).

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