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Truck to door assignment in a shared cross-dock under uncertainty

Author

Listed:
  • Fatma Essghaier

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Hamid Allaoui

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

  • Gilles Goncalves

    (LGI2A - Laboratoire de Génie Informatique et d'Automatique de l'Artois - UA - Université d'Artois)

Abstract

This paper addresses the optimization of the truck to door assignment problem in cross-docks. It defines a new form of horizontal collaboration between suppliers by sharing the platform's resources to enhance service level and reduce economical costs. Moreover, this study proposes to solve the problem by considering an uncertain transfer time, that is frequently observed in real-world cross-docks. Due to imprecise arrival time of trucks, equipment breakdown, or workload variation, etc, the actual transfer time tends to be shorter or longer than the prefixed one. This uncertainty is modeled as a triangular fuzzy number then a Fuzzy Chance Programming model has been proposed to solve the problem using possibilistic measures. The efficiency and robustness of both (deterministic and fuzzy) proposed models are tested empirically and obtained results confirm the positive effect of collaboration and uncertainty handling.

Suggested Citation

  • Fatma Essghaier & Hamid Allaoui & Gilles Goncalves, 2021. "Truck to door assignment in a shared cross-dock under uncertainty," Post-Print hal-04066589, HAL.
    • Handle: RePEc:hal:journl:hal-04066589
    DOI: 10.1016/j.eswa.2021.114889
    Note: View the original document on HAL open archive server: https://univ-artois.hal.science/hal-04066589
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    References listed on IDEAS

    as
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