Multi-Objective Optimization Research on Multi Parallel Machine with Different Preventive Maintenance Planning and Scheduling with Genetic Algorithm

Maintaining the reliability of a system is one of the most critical and challenging tasks for factories during production. Researchers have begun to investigate the integrated optimization problem of preventive maintenance (PM) and production scheduling with a single objective. In this paper, our objective function includes five parts; minimizing maintenance cost, make span, total weighted completion time of jobs, total weighted tardiness, and maximizing machine availability are simultaneously considered to optimize the integrated problem of PM and production scheduling. We solve the problem with two different types of PM on multi-parallel-machine. Each of them includes multi jobs. First: When a part needs to be repaired and the second type considers when a part needs to be changed. Genetic algorithms help us to solve this model for finding a Local Optimum solution for this problem.