Presenting a multi-objective mathematical model integrating production scheduling and maintenance considering the limited access to production resources in conditions of uncertainty and optimization with multi-objective genetic algorithm

In production and industrial systems, the integrated planning of production and operations is very important. Responding quickly to the needs of customers, diversity, reliability and cost of equipment and machines, due to the extensive limitations in production resources, competitiveness and gaining market share in conditions of uncertainty, there is a need to plan the units. be done in an integrated manner. In most of the production units, effective information is at an unfavorable level of coordination and exchange with other activities. The result of such activities is nothing but a waste of resources and the emergence of an insular culture in the organization. Therefore, in this research, a MIP mathematical model was modeled in line with the planning of production, maintenance in Maron Company. The objectives of the proposed model are to minimize production costs and maintenance costs with limited production resources. dependents such as maintenance) was used by the innovative method of genetics. The results of the modeling evaluation showed that the detailed and ultra-innovative solution provided has improved the company's production by more than 7%.