Vehicle Routing Problem with Multi Depot, Heterogeneous Fleet, and Multi Period: A Real Case Study

Abstract

In this study, we designed a vehicle routing problem model for chocolate manufacturer company to optimize their distribution system. Our model includes 3 warehouses, heterogenous fleet, multi period, and about two dozen customers. We got our customer data directly from company. We considered distance between the customers, their demands and vehicle capacities. Sensitivity analysis was made to make sure that it is effective. In the model that we designed, we compared 10-15-20 customer cases with 3 depot, 1 depot, heterogeneous and homogeneous fleet scenarios. According to results of the study homogeneous fleet scenarios are costly. In addition, using single depot is costly than using multiple depots.