BİR LOJİSTİK DAĞITIM AĞININ GENETİK ALGORİTMA İLE YENİDEN TASARLANMASI

Logistics management has become a critical part of any company that wants to achieve its goals through capacity, time, and service quality in a financial environment. These improvements have been influenced by economic tendencies stemming from the development of technological infrastructures and an increasing complication of commerce flows. Therefore, the design of logistics networks has become an important issue for both businesses and researchers. In this study, a deterministic model is created in which the shipments are distributed from origin cities to destination cities, either directly or through distribution centers whose locations will be determined by the model. While only one distribution center is assigned to each destination city, each distribution center can serve more than one destination city. The model decides where distribution centers will be located and aims to minimize logistics operating cost. The model considers capacity constraint for each distribution center. A genetic algorithmbased method has been developed to solve the problem. The genetic algorithm model is coded in Python. The genetic algorithm solution is validated on small-sized problems by comparing it with optimal solution obtained by the General Algebraic Modeling System (GAMS).