Transport processes directly influence the operational performance of distributed production systems. In this context, the Vehicle Routing Problem (VRP) aims for optimizing the delivery of goods, choosing the best route, which reduces travel time, distance or cost. This paper deals with a variant of the VRP, known as VRP with Time Windows (VRPTW) considering daily scheduling. Therefore, this paper proposes a simulation-based optimization approach for transport scheduling and vehicle routing. The approach was validated in a test case focus on minimize the total cost of the distance travelled in a scenario composed by 13 vehicles and 100 clients.
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