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Integrated Laycan and Berth Allocation Problem

Author

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  • Hamza Bouzekri

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Gülgün Alpan

    (G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production - G-SCOP - Laboratoire des sciences pour la conception, l'optimisation et la production - CNRS - Centre National de la Recherche Scientifique - UGA - Université Grenoble Alpes - Grenoble INP - Institut polytechnique de Grenoble - Grenoble Institute of Technology - UGA - Université Grenoble Alpes)

  • Vincent Giard

    (LAMSADE - Laboratoire d'analyse et modélisation de systèmes pour l'aide à la décision - Université Paris Dauphine-PSL - PSL - Université Paris Sciences et Lettres - CNRS - Centre National de la Recherche Scientifique)

Abstract

Handling vessels within the agreed time limits at a port with an optimal exploitation of its quays plays an important role in the improvement of port effectiveness as it reduces the stay time of vessels and avoid the payment of contractual penalties to shipowners due to the overrun of laytimes. In this paper, we propose a mixed zero-one linear model for a new problem called the integrated Laycan and Berth Allocation Problem with dynamic vessel arrivals in a port with multiple continuous quays. The model aims, first, to achieve an optimal berth plan that reduces the late departures of chartered vessels by maximizing the difference between their despatch money and demurrage charges, considering water depth and maximum waiting time constraints and the productivity that depends on berth positions and, second, to propose laycans for new vessels to charter. Only one binary variable is used to determine the spatiotemporal allocations of vessels and the spatiotemporal constraints of the problem are covered by a disjunctive constraint. An illustrative example and several numerical tests are provided.

Suggested Citation

  • Hamza Bouzekri & Gülgün Alpan & Vincent Giard, 2019. "Integrated Laycan and Berth Allocation Problem," Post-Print hal-02342441, HAL.
  • Handle: RePEc:hal:journl:hal-02342441
    DOI: 10.1109/IESM45758.2019.8948110
    Note: View the original document on HAL open archive server: https://hal.science/hal-02342441
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    References listed on IDEAS

    as
    1. Meisel, Frank & Bierwirth, Christian, 2009. "Heuristics for the integration of crane productivity in the berth allocation problem," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 45(1), pages 196-209, January.
    2. 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.
    3. Bierwirth, Christian & Meisel, Frank, 2010. "A survey of berth allocation and quay crane scheduling problems in container terminals," European Journal of Operational Research, Elsevier, vol. 202(3), pages 615-627, May.
    4. Giallombardo, Giovanni & Moccia, Luigi & Salani, Matteo & Vacca, Ilaria, 2010. "Modeling and solving the Tactical Berth Allocation Problem," Transportation Research Part B: Methodological, Elsevier, vol. 44(2), pages 232-245, February.
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    Cited by:

    1. Najat Bara & Frédéric Gautier & Vincent Giard, 2020. "Usage Des Pénalités Dans Les Modèles Économiques De Management Industriel," Post-Print hal-03005697, HAL.
    2. Hamza Bouzekri & Gülgün Alpan & Vincent Giard, 2020. "Modélisation du problème de l'allocation des planches et des postes à quai dans les ports vraquiers," Post-Print hal-03005639, HAL.

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