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

Fatma Essghaier, Hamid Allaoui and Gilles Goncalves ()
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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

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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.

Keywords: Cross-docking; Optimization; Collaboration; Uncertainty; Truck to Door Assignment; Chance Constrained Programming (search for similar items in EconPapers)
Date: 2021-11
Note: View the original document on HAL open archive server: https://univ-artois.hal.science/hal-04066589
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Published in Expert Systems with Applications, 2021, 182, pp.114889. ⟨10.1016/j.eswa.2021.114889⟩

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Persistent link: https://EconPapers.repec.org/RePEc:hal:journl:hal-04066589

DOI: 10.1016/j.eswa.2021.114889

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