Integrated solution of the warehouse location problem and the vehicle routing problem within the scope of supply chain distribution network

Warehouse location selection and planning the routes of the vehicles that carry out the distribution are extremely important in the supply chain distribution network. By choosing the right warehouse location and routing the vehicles correctly, the performance of the supply chain distribution network increases, while the total distribution costs decrease. Today, this situation has become a necessity for businesses to achieve sustainable success in strategic competition. In this thesis; the warehouse location selection problem and the vehicle routing problem (VRP) have been handled in an integrated manner within the scope of a supply chain distribution network. Fuzzy TOPSIS method, which is one of the multi-criteria decision making (MCDM) methods, was used to solve the warehouse location selection problem and an application has been developed for VRP that produces solutions with Tabu Search Algorithm and Greedy Algorithm. By analyzing two different complicated and extensive problems as integrated and by including two methods that haven' t been compared before to the solutions to these problems, it is assumed that this thesis will make a unique contribution to the literature.