Joint decision of condition-based maintenance and production scheduling for multi-component systems

Abstract

In this study, system maintenance and production scheduling are jointly decided to solve the problems of resource idleness and time cost increase due to system maintenance in the processing of production scheduling. Based on the previous research on the integration of scheduling and maintenance of single machine and multi machine, considering the deterioration and economic dependence of each component in the system, a joint strategy of multi component condition-based maintenance combined with production scheduling is formulated. All the maintenance combinations and probability calculation formulas in the production scheduling process are developed using the deterioration state space partition method, and the probability density function and its numerical solution method are derived. A joint decision model is established to minimize the total weighted expected completion time. Finally, taking the KS5 adjustable multi axis tapping machine as an example, numerical experiments were conducted to verify the correctness of the proposed strategy and the established model.

Research on integrated scheduling of equipment predictive maintenance and production decision based on physical modeling approach

“…Yildirim and Nezami [21] considered the impact of product processing time on machine degradation and performed an experimental analysis with the objective of minimising maintenance costs and energy consumption. Zhang et al [23] proposed a strategy that combines multitasking maintenance with production to solve the problem of idle resources and increased time cost due to maintenance in scheduling. For production lines consisting of multiple machines, the study focuses on the dependencies between the different machines, the collaboration between the equipment and the impact of predictive maintenance on the overall efficiency of the production line.…”