Selecting transportation strategies in transportation planning for automotive supply chain.
Issa Bou Zeid  1, 2  , Gulgun Alpan  1@  , Bernard Penz  1@  , Alain Nguyen  3@  , Serrano Christian  2@  
1 : Laboratoire des sciences pour la conception, lóptimisation et la production
Institut polytechnique de Grenoble - Grenoble Institute of Technology, Université Grenoble Alpes, Centre National de la Recherche Scientifique : UMR5272
2 : RENAULT
Direction Supply Chain
3 : Renault
Direction Transformation Digitale, Service Intelligence Artificielle Appliquée, RENAULT, 13 avenue Paul Langevin, 92359 Le Plessis Robinson, France

Defining a transportation plan for inbound logistics in the automotive industry represents a major economic challenge for the manufacturers. A three phased algorithm, where in the second, three mixed integer linear programming models (MILP) are developed for the problem. To test the performances of the proposed approach, computational experiments are done on real-world instances, and the results are reported.


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