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An integrated programming model for storage management and vehicle scheduling at container terminals

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  • Wu, Yue
  • Luo, Jiabin
  • Zhang, Dali
  • Dong, Ming

Abstract

In this paper, we study the optimization of yard operations, which are critical for the terminal efficiency. A linear mixed integer programming (MIP) model is proposed for scheduling different types of equipment and planning the storage strategy in an integrated way. We also investigate a nonlinear mixed integer programming (NLMIP) model to reduce the number of constraints and the computational time. A set of numerical results are carried out for the comparison between the linear model and the nonlinear model. Finally, we propose a genetic algorithm for the MIP model to illustrate how large scale problems can be solved and to show the effect of different factors on the performances of the optimization model.

Suggested Citation

  • Wu, Yue & Luo, Jiabin & Zhang, Dali & Dong, Ming, 2013. "An integrated programming model for storage management and vehicle scheduling at container terminals," Research in Transportation Economics, Elsevier, vol. 42(1), pages 13-27.
    • Handle: RePEc:eee:retrec:v:42:y:2013:i:1:p:13-27
    DOI: 10.1016/j.retrec.2012.11.010
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    References listed on IDEAS

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    Cited by:

    1. Damla Kizilay & Deniz Türsel Eliiyi, 2021. "A comprehensive review of quay crane scheduling, yard operations and integrations thereof in container terminals," Flexible Services and Manufacturing Journal, Springer, vol. 33(1), pages 1-42, March.
    2. Hang Yu & Yiyun Deng & Leijie Zhang & Xin Xiao & Caimao Tan, 2022. "Yard Operations and Management in Automated Container Terminals: A Review," Sustainability, MDPI, vol. 14(6), pages 1-24, March.
    3. Jiahao Zhao & Xiaoning Zhu & Li Wang, 2020. "Study on Scheme of Outbound Railway Container Organization in Rail-Water Intermodal Transportation," Sustainability, MDPI, vol. 12(4), pages 1-18, February.
    4. Kizilay, Damla & Hentenryck, Pascal Van & Eliiyi, Deniz T., 2020. "Constraint programming models for integrated container terminal operations," European Journal of Operational Research, Elsevier, vol. 286(3), pages 945-962.
    5. Zhou, Chenhao & Yuan, Mengxue & Zhang, Jingwen & Zhang, Wei, 2024. "A tree search algorithm for uncertainty-considered consecutive discharging and loading operations between ship and offshore platform," European Journal of Operational Research, Elsevier, vol. 315(2), pages 729-749.
    6. Li, Xiangda & Peng, Yun & Tian, Qi & Feng, Tao & Wang, Wenyuan & Cao, Zhen & Song, Xiangqun, 2023. "A decomposition-based optimization method for integrated vehicle charging and operation scheduling in automated container terminals under fast charging technology," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 180(C).
    7. Hsien-Pin Hsu & Chia-Nan Wang & Hsin-Pin Fu & Thanh-Tuan Dang, 2021. "Joint Scheduling of Yard Crane, Yard Truck, and Quay Crane for Container Terminal Considering Vessel Stowage Plan: An Integrated Simulation-Based Optimization Approach," Mathematics, MDPI, vol. 9(18), pages 1-28, September.
    8. Feder, Christophe, 2018. "Decentralization and spillovers: A new role for transportation infrastructure," Economics of Transportation, Elsevier, vol. 13(C), pages 36-47.
    9. Jonas Ahmt & Jonas Skott Sigtenbjerggaard & Richard Martin Lusby & Jesper Larsen & David Ryan, 2016. "A new approach to the Container Positioning Problem," Flexible Services and Manufacturing Journal, Springer, vol. 28(4), pages 617-643, December.
    10. Ludwig Dumetz & Jean-François Audy & Mikael Rönnqvist & Riadh Azouzi, 2024. "Simulation-based evaluation of road transportation logistics in a dry port with topographic challenges," Journal of Shipping and Trade, Springer, vol. 9(1), pages 1-18, December.

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