Une approche d'optimisation basée sur la simulation pour la conception des chaînes logistiques : applications dans les industries automobile et textile

Abstract : In this thesis, a simulation-based multi-objective optimization method is proposed for supply chain design under realistic conditions. The proposed approach is comprised of two building blocks: an optimizer and a simulation model builder. The optimizer, based on a multi-objective genetic algorithm, is used to direct the search for best-compromised solutions with respect to various conflicting criteria, such as cost and customer service level. The optimization variables incorporate not only the supply chain structure but also the system control parameters. Candidate solutions suggested by the optimizer are evaluated through simulation, which enables realistic evaluations taking into account uncertainties and dynamics along supply chain. The simulation model builder is developed to facilitate automatic model creation, which is a challenging issue as decision variables also involve the supply chain network structure. Two real-life case studies, from the automotive and textile industry, are presented to validate the proposed method and to illustrate its various features.
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Hongwei Ding. Une approche d'optimisation basée sur la simulation pour la conception des chaînes logistiques : applications dans les industries automobile et textile. Gestion et management. Université Paul Verlaine - Metz, 2004. Français. ⟨NNT : 2004METZ014S⟩. ⟨tel-01775954⟩

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