Optimization of prot and customer satisfaction in combinatorial production and purchase model by genetic algorithm

Optimization of inventory costs is the most important goal in industries. But in many models, the constraints are considered simple and relaxed. Some actual con- straints are to consider the combinatorial production and purchase models in multi-products environment. The purpose of this article is to improve the eciency of inventory management and nd the economic order quantity and economic production quantity that can minimize the cost of inventory and customer satisfac- tion. In this study, the models with these targets in combinatorial production and purchase systems with the assumption the warehouse and budget constraints are proposed. Since a long time for solving the problem with an exact method is required, we develop a genetic algorithm. To evaluate the eciency of the proposed