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Article Dans Une Revue Computers & Industrial Engineering Année : 2023

Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs

Résumé

The Physical Internet (PI) is an innovative concept that has the potential to significantly improve the efficiency, cost-effectiveness, and sustainability of the global supply chain industry, particularly in cross-docking operations. This paper addresses the truck-scheduling problem in rail–road PI-Hubs, taking into account simultaneously both uncertainty and multi-objective decision-making, which has not been fully explored in the literature, particularly for PI-structures. Our proposed approach defines a Multi-Objective Mixed-Integer Programming model (FMO-MIP) that incorporates fuzzy chance-constrained programming and -constraint to minimize both the total delay and the sum of PI-containers traveled distances, while considering the uncertainty on truck arrival times. This work takes into account the particularities of the Physical Internet and presents a novel decision-making solution to generate a robust Pareto front that aligns with decision-makers’ attitudes towards risk (optimistic/pessimistic) while balancing trade-offs between conflicting objectives.
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Dates et versions

hal-04190449 , version 1 (29-08-2023)

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Citer

Fatma Essghaier, Tarik Chargui, Tiente Hsu, Abdelghani Bekrar, Hamid Allaoui, et al.. Fuzzy multi-objective truck scheduling in multi-modal rail–road Physical Internet hubs. Computers & Industrial Engineering, 2023, 182, pp.109404. ⟨10.1016/j.cie.2023.109404⟩. ⟨hal-04190449⟩
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