Providing an optimal model of production planning, repairs and maintenance and scheduling of labor in conditions of uncertainty and solving it with the ant algorithm

In today's competitive environment, production productivity is a very important and key issue. However, all department of the production unit are interdependent. Rapid response to customer needs, diversity, reliability and cost of equipment and machinery due to the widespread limitations in production resources to be competitive and gain market share in conditions of uncertainty, is needed to make management decisions from Use an integrated format that incorporates important elements. Accordingly, in this study, the integration of three important areas in manufacturing companies has been addressed. These areas include production planning, maintenance, and manpower planning. In this way, a mathematical model with the aim of optimal use of labor and increasing production volume is presented. In this model of workers' experience, machine utilization rate and machine failure rate are expressed uncertainly and with fuzzy numbers. To solveing this model, the ants meta-innovation algorithm has been used. Numerical results obtained from the implementation in an industrial company show that the algorithm used can provide answers with the least possible error in a reasonable time. Sensitivity analysis also shows that the failure rate of the machine before and after repairs and maintenance has a great impact on the value of the objective function of the mathematical model.