串联生产系统预防性维护计划建模与优化

Modeling and optimization of preventive maintenance scheduling for series production systems

针对具有中间缓冲的多设备串联生产系统预防性维护问题,以最小化维护相关成本为目标,建立了基于设备役龄的维护/换新计划模型。分析设备因故障、维护或饥饿而造成的停机损失,依据蒙特卡洛仿真方法,并采用遗传算法进行优化求解。综合成本随着系统产出率要求、单位时间产出、小修时间的增大而增大;15台设备系统中,所得综合成本仅为传统总成本的55.9%。

A maintenance replacement scheduling model was proposed on the basis of equipment service age with the aim of minimizing the total maintenance-related cost for a multi-unit series production system with immediate buffers. Shutdown loss caused by breakdown,maintenance, or machine starvation was analyzed. Based on the Monte-Carlo simulation method,the genetic algorithm was applied for optimization of the solution. The comprehen-sive cost increases with increase in productivity demand,output per unit time,and minor repair time. For a system with 15 machines,the comprehensive cost is 55.9% of the traditional total cost.