This paper studies an innovative maintenance model for an upstream machine in a common production system. Multiple system-wise features are integrated in the model, including maintenance, spare parts, buffer inventory, and product quality. The objective is to minimize the system expected cost rate by determining the optimal inspection interval, preventive maintenance threshold, corrective maintenance threshold, reorder level of spare parts, maximum stock level of spare parts, and maximum inventory level of the buffer. In this maintenance model, both the hazard rate and the product qualification rate can trigger maintenance activities. The well-known proportional hazard model (PHM) is adopted to describe the state of the upstream machine. The effect of machine state on product quality is explicitly characterized. Due to the complexity of the mathematical model, simulation and a genetic algorithm are employed to determine the optimal solution. A case study of bearings is presented to demonstrate the performance of the proposed maintenance policy. The results show that this policy is practical and can reduce system cost significantly.

本文研究了常见生产系统中上游机器的创新维护模型。该模型集成了多个系统方面的功能，包括维护，备件，缓冲区库存和产品质量。目的是通过确定最佳检查间隔，预防性维护阈值，纠正性维护阈值，备件的重新订购水平，备件的最大库存水平以及缓冲区的最大库存水平，来最大程度地降低系统预期成本率。在这种维护模型中，危险率和产品合格率均可触发维护活动。采用众所周知的比例风险模型（PHM）描述上游机器的状态。机器状态对产品质量的影响已得到明确表征。由于数学模型的复杂性，因此采用仿真和遗传算法来确定最佳解决方案。提出了一个轴承案例研究，以证明建议的维护策略的性能。结果表明，该策略是可行的，可以显着降低系统成本。