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.