A Joint Optimization Model of Production Scheduling and Maintenance Based on Data Driven for a Parallel-Series Production Line

The maintenance of a production line is becoming more important with the development demanding higher operational efficiency and safety in industrial system. However, often operates under dynamically environmental conditions scheduling also very factor for line. First, this paper proposes an integrated data-driven model that coordinates planning decisions to solve problem parallel-series degradation information considered, total cost be minimized proposed model. Also, related process considering reliability equipment. Then, order better describe relationship between maintenance, accumulative processing time equipment used as input its failure function. ability developed control reduced level by adopting preventive maintenance. Finally, case study demonstrate implementation potential applications long-term wear test experiments are conducted at research laboratory facility Shanghai Pangyuan Machinery Co., Ltd. result proves method feasible efficient joint decision-making multivariety small batch production. suitable semiconductor manufacturing.