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Modelling and solving the multi-quays berth allocation and crane assignment problem with availability constraints

Author

Listed:
  • Issam Krimi

    (OCP Group
    Mohamed 6 Polytechnic University
    LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France
    Mohammed 5 University)

  • Raca Todosijević

    (LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France)

  • Rachid Benmansour

    (LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France
    INSEA)

  • Mustapha Ratli

    (LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France)

  • Abdessamad Ait Cadi

    (LAMIH UMR CNRS 8201, Université Polytechnique Hauts de France)

  • Afaf Aloullal

    (Mohamed 6 Polytechnic University)

Abstract

In this work, we are interested in the multi-quays berth allocation and crane assignment problem under availability restrictions. Availability restrictions may arise due weather conditions, or when, for example, cranes must undergo planned maintenance in order to stay in good performance. This problem was inspired by a real-case of a bulk port in Morocco. To solve the problem we propose at first a mixed-integer programming model. Then, in view of the limitations of the proposed model, we investigate a set of heuristics based on general variable neighborhood search with three variants of variable neighborhood descent as a local search. To validate the proposed model and the proposed heuristic approach, real-world instances are used. The computational results reveal that CPLEX MIP solver consumes a lot of CPU time to solve this model, even sometimes failing to guarantee the optimality of the provided solution. On the other hand, the proposed GVNS heuristic turns out to be very efficient in solving the considered problem.

Suggested Citation

  • Issam Krimi & Raca Todosijević & Rachid Benmansour & Mustapha Ratli & Abdessamad Ait Cadi & Afaf Aloullal, 2020. "Modelling and solving the multi-quays berth allocation and crane assignment problem with availability constraints," Journal of Global Optimization, Springer, vol. 78(2), pages 349-373, October.
    • Handle: RePEc:spr:jglopt:v:78:y:2020:i:2:d:10.1007_s10898-020-00884-1
    DOI: 10.1007/s10898-020-00884-1
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    References listed on IDEAS

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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. Guo, Liming & Zheng, Jianfeng & Du, Jian & Gao, Ziyou & Fagerholt, Kjetil, 2024. "Integrated planning of berth allocation, quay crane assignment and yard assignment in multiple cooperative terminals," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 183(C).
    3. Gao, Zhendi & Ji, Mingjun & Kong, Lingrui & Hou, Xinhao, 2024. "Scheduling of automated ore terminal operations based on fixed inflow rhythm," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 182(C).
    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. Hamza Bouzekri & Gülgün Alpan & Vincent Giard, 2022. "Integrated Laycan and Berth Allocation Problem with ship stability and conveyor routing constraints in bulk ports," Working Papers hal-03431793, HAL.
    6. Guo, Liming & Zheng, Jianfeng & Liang, Jinpeng & Wang, Shuaian, 2023. "Column generation for the multi-port berth allocation problem with port cooperation stability," Transportation Research Part B: Methodological, Elsevier, vol. 171(C), pages 3-28.
    7. Angelo Sifaleras & Nenad Mladenović & Panos M. Pardalos, 2020. "Preface to the special issue “ICVNS 2018”," Journal of Global Optimization, Springer, vol. 78(2), pages 239-240, October.

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