A supply chain network design problem for the RENAULTvehicle distribution

Suzanne Le Bihan (1, 2) , Gülgün Alpan (1) , Bernard Penz (3) , Grégoire Boussu (2)

1 G-SCOP_GCSP - Gestion et Conduite des Systèmes de Production
2 Technocentre Renault [Guyancourt]
3 G-SCOP_ROSP - Recherche Opérationnelle pour les Systèmes de Production

Today succeeding automotive constructors provide vehicles worldwide. Hence, their outbound supply chain network is highly developed and complex. Supply Chain Network Design Problems (SCNDP) optimization models are powerful tools that can combine and support decisions on multiple managerial levels, such as center location and flow planning. We describe a case study of the RENAULT outbound supply chain and propose a deterministic multi-period, multi-commodity SCNDP model. This problem aims to find the less costly way to transport vehicles from plants to dealers through a complex supply chain network, as we need to determine the facilities and the routes through which the products will transit.

Mots clés: supply chain network design problem; automotive industry

Domaines: Recherche opérationnelle [math.OC]; Combinatoire [math.CO]

Suzanne Le Bihan, Gülgün Alpan, Bernard Penz, Grégoire Boussu. A supply chain network design problem for the RENAULTvehicle distribution. 23ème congrès annuel de la Société Française de Recherche Opérationnelle et d'Aide à la Décision, INSA Lyon, Feb 2022, Villeurbanne - Lyon, France. ⟨hal-03595224⟩