Group production scheduling model with due window and maintenance

A group production scheduling model considering preventive maintenance (PM) and due window is proposed so as to satisfy dual requirements of production cost and delivery date. In this integrated model, learning and forgetting effects between jobs and groups are involved, and an early/tardy delivery penalty membership function is introduced. With the objective of minimizing the total of early/tardy delivery penalty cost and maintenance cost, genetic algorithm is used to obtain the optimal job production and maintenance sequence. Finally, a case study is given to show the effectiveness and reliability of this proposed model.