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A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem

Author

Listed:
  • Alessandro Hill

    (Universidad Adolfo Ibáñez
    California Polytechnic State University)

  • Eduardo Lalla-Ruiz

    (University of Hamburg
    University of Twente)

  • Stefan Voß

    (University of Hamburg
    Pontificia Universidad Católica de Valparaíso)

  • Marcos Goycoolea

    (Universidad Adolfo Ibáñez)

Abstract

In this paper, we address the waterway ship scheduling problem (WSSP), which finds applications in the management of ship arrivals and departures at maritime ports near channels and waterways. It incorporates practically relevant conflicts which stem from tidal changes, curfews, ship properties or traffic. We propose a reformulation of the WSSP as a variant of the multi-mode resource-constrained project scheduling problem, which incorporates time-dependent resource capacities besides earliest and latest start times for the tasks. This problem is solved through integer programming, using a compact mathematical formulation. Our approach outperforms previous methods by solving all the existing literature instances to optimality. Most of them are solved at the root node within less than 2 s.

Suggested Citation

  • Alessandro Hill & Eduardo Lalla-Ruiz & Stefan Voß & Marcos Goycoolea, 2019. "A multi-mode resource-constrained project scheduling reformulation for the waterway ship scheduling problem," Journal of Scheduling, Springer, vol. 22(2), pages 173-182, April.
    • Handle: RePEc:spr:jsched:v:22:y:2019:i:2:d:10.1007_s10951-018-0578-9
    DOI: 10.1007/s10951-018-0578-9
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    References listed on IDEAS

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    7. Petris, Matteo & Pellegrini, Paola & Pesenti, Raffaele, 2022. "Models and algorithms for an integrated vessel scheduling and tug assignment problem within a canal harbor," European Journal of Operational Research, Elsevier, vol. 300(3), pages 1120-1135.

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