An optimization model integrated production scheduling and preventive maintenance for group production

A single-machine-based optimization model of production scheduling and preventive maintenance under group production is proposed. In order to minimize total completion time and maintenance cost, this model considers the deteriorating effect, besides similarity-dependent setup time and learning and forgetting effect. Moreover, a hybrid maintenance strategy is researched, in which preventive maintenance operation is performed considering failure rate threshold and minimal repair based on machine's age is performed considering unexpected failure. Finally, genetic algorithm is adopted to solve this integrated model. Through a case study, the computation results demonstrate that this optimization model could reduce maintenance cost and completion time more effective without maintenance loss.