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Berth and quay crane allocation: a moldable task scheduling model

Author

Listed:
  • J Blazewicz

    (Institute of Computing Science, Poznan University of Technology)

  • T C E Cheng

    (The Hong Kong Polytechnic University, Hong Kong SAR)

  • M Machowiak

    (Institute of Computing Science, Poznan University of Technology)

  • C Oguz

    (Koç University)

Abstract

We study the problem of allocating berths to incoming ships and assigning the necessary quay cranes to the ships at a port container terminal. We formulate the problem as the moldable task scheduling problem by considering the tasks as ships and processors as quay cranes assigned to the ships based on the observation that the berthing duration of a ship depends on the number of quay cranes allocated to it. In the model, the processing speed of a task is considered to be a non-linear function of the number of processors allocated to it. We present a suboptimal algorithm that obtains a feasible solution to the discrete version of the problem from the continuous version, that is, where the tasks may require fractional quantities of the resources. We conducted computational experiments to evaluate the performance of the algorithm. The computational results show that the average behaviour of the algorithm is very good.

Suggested Citation

  • J Blazewicz & T C E Cheng & M Machowiak & C Oguz, 2011. "Berth and quay crane allocation: a moldable task scheduling model," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 62(7), pages 1189-1197, July.
    • Handle: RePEc:pal:jorsoc:v:62:y:2011:i:7:d:10.1057_jors.2010.54
    DOI: 10.1057/jors.2010.54
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    References listed on IDEAS

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    Cited by:

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    2. Simon Emde & Hamid Abedinnia & Anne Lange & Christoph H. Glock, 2020. "Scheduling personnel for the build-up of unit load devices at an air cargo terminal with limited space," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 397-426, June.
    3. Jiayin Pan & Yinfeng Xu & Guiqing Zhang, 2018. "Online integrated allocation of berths and quay cranes in container terminals with 1-lookahead," Journal of Combinatorial Optimization, Springer, vol. 36(2), pages 617-636, August.
    4. Türkoğulları, Yavuz B. & Taşkın, Z. Caner & Aras, Necati & Altınel, İ. Kuban, 2014. "Optimal berth allocation and time-invariant quay crane assignment in container terminals," European Journal of Operational Research, Elsevier, vol. 235(1), pages 88-101.
    5. Dolgui, Alexandre & Kovalev, Sergey & Kovalyov, Mikhail Y. & Malyutin, Sergey & Soukhal, Ameur, 2018. "Optimal workforce assignment to operations of a paced assembly line," European Journal of Operational Research, Elsevier, vol. 264(1), pages 200-211.
    6. Correcher, Juan F. & Alvarez-Valdes, Ramon & Tamarit, Jose M., 2019. "New exact methods for the time-invariant berth allocation and quay crane assignment problem," European Journal of Operational Research, Elsevier, vol. 275(1), pages 80-92.
    7. Bierwirth, Christian & Meisel, Frank, 2015. "A follow-up survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 244(3), pages 675-689.
    8. Xu, Dongsheng & Li, Chung-Lun & Leung, Joseph Y.-T., 2012. "Berth allocation with time-dependent physical limitations on vessels," European Journal of Operational Research, Elsevier, vol. 216(1), pages 47-56.
    9. Agra, Agostinho & Oliveira, Maryse, 2018. "MIP approaches for the integrated berth allocation and quay crane assignment and scheduling problem," European Journal of Operational Research, Elsevier, vol. 264(1), pages 138-148.
    10. Wu, Fangfang & Zhang, Xiandong & Chen, Bo, 2023. "An improved approximation algorithm for scheduling monotonic moldable tasks," European Journal of Operational Research, Elsevier, vol. 306(2), pages 567-578.
    11. Giorgi Tadumadze & Simon Emde & Heiko Diefenbach, 2020. "Exact and heuristic algorithms for scheduling jobs with time windows on unrelated parallel machines," OR Spectrum: Quantitative Approaches in Management, Springer;Gesellschaft für Operations Research e.V., vol. 42(2), pages 461-497, June.
    12. Fangfang Wu & Zhongyi Jiang & Run Zhang & Xiandong Zhang, 2023. "Approximation algorithms for scheduling monotonic moldable tasks on multiple platforms," Journal of Scheduling, Springer, vol. 26(4), pages 383-398, August.

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