A Vendor Inventory Management Policy to Optimize Sales of Thermal Energy Using Evolutionary Algorithms

In recent years, supply chain management with the aim of making the supply chain more efficient and reducing overall costs, is one of the key issues addressed in every industry. In today's energy supply chain, determining the level of sales for manufactured goods in specific time periods and to specific customer groups is very important. This becomes even more important when we have to do this for sensitive marine products that have different customer categories. This article presents a model for determining the optimal level of sales of thermal energy in two levels and according to customer demand in different time periods to determine the optimal level of sales using accurate methods and some meta-innovative methods. For this purpose, two meta-heuristic methods of particle swarm optimization (PSO) and the evolutionary algorithm CPSO have been used. © 2021 KIIE