Optimizing distribution of products in Digikala company from Tehran to cities having a distribution warehouse

Transportation system brings the problem of vehicle routing that seeks optimal allocation of customers to vehicles in distribution system. There are various types of vehicle routing problems that try to provide models that are closer to the real world constraints by considering limitations such as vehicle capacity, number of demands, distance and so forth. The transportation network of Digikala Company inside and between cities is complicated based on the number of available routes, variety of means of transport and multiple distribution centers in the provincial areas. Digikala's distribution network is not only a geometric representation of the transport routes, but also represents the transport system. In this research, studying variables of shipping these goods has been considered, firstly, to identify a mathematical model for the distribution of these goods and then to examine how to solve this mathematical model, which is estimative and accurate. We solved this problem after examining and proving the model solution through approximate ways using meta-heuristic method which gives us the closest answers in NP-hard problems. Finally, while coding in small-scale Matlab software, we study the distribution model of the company and obtain the required output by proving the downward trend of the final function. The study confirms that online store companies can design, optimize, and manage complex supply chain operations at different levels with the help of Genetic Algorithm