Maintenance decision for manufacturing system based on a two-stage deterioration model

With the rapid development of modern manufacturing, the complexity and diversity of manufacturing systems are increasing, which makes it particularly important to study the degradation and maintenance decision of manufacturing systems. However, in the contemporary research on this problem, how to determine the inspection interval and evaluating the impact of maintenance decision on the system are still a major difficulty. In this paper, a manufacturing process maintenance decision model is proposed. It first combines the two-stage deterioration theory with the deterioration-based fault probability modelling of the system degradation and fault generation probability. Secondly it combines different maintenance decisions to calculate the specific probability expression formulas for detecting different types of situations during inspection. Thirdly it combines the costs corresponding to the maintenance measures for different types of situations, and calculates the inspection interval corresponding to the lowest expected costs. The effectiveness of the proposed maintenance decision model is also evaluated through simulation experiments, which proves the feasibility of this study.