Development of an Innovative Algorithm Based on Complete Counting for Bilateral Optimization Problem Design of Hub Logistics Network in Relief and Disaster Supply Chain

In this study, a new two-level mathematical model is presented in order to design a logistics hub network in the supply chain of disasters and disasters. The leader level model uses the location of hubs and the determination of vehicles used. The objective function of this model is to minimize the cost of building hubs, transportation costs, and infrastructure costs to develop a logistics hub network. In the follow-up model, it determines the optimal routes for sending products to applicants with the aim of minimizing service delivery time. Given that solving two-tier models in the case where the follow-up model has an MIP structure, it is known as a difficult problem in research in operations and there is not always a definite solution for it, in this research an innovative algorithm based on complete counting. It is provided with high quality answers. According to the computational results, it can be observed that the developed algorithm is able to produce justified answers and of course it has an acceptable level in terms of the quality of the answers. Using the results of this research can be used as a management tool by crisis management organizations.