基于瓶颈约束理论在存在瓶颈工序的多台设备组成的对串/并联生产系统中,基于瓶颈约束理论,对不同节拍工序进行阶次定义,并对不同工序的设备进行不同的机会维护策略,既能在保证生产系统的可靠性需求的同时,又能够避免维护的浪费。采用可靠度调整因子描述设备维护前后的可靠度演变,从而建立了一种使串/并联生产线产能和维护成本联合最优的机会维护模型,通过蒙特卡洛仿真得到最优的阈值组合和设备维护计划。应用实例结果显示,该方法能为多阶瓶颈串/并联系统提供一个保证产能和成本联合最优的机会维护方案。
For serial-parallel manufacturing systems that experience bottlenecks,we used the theory of constraints to differentiate between the maintenance strategies of different machines in different situations to ensure the maximum utilization of machines in bottleneck situations. This opportunistic preventive maintenance model is based on the reliability of a target to optimize multi-objectives,namely,to minimize maintenance costs and maximize the production capacity of the whole system. We used Monte Carlo simulation on the model to obtain the appropriate threshold values and the maintenance scheme. In an applied case,we demonstrate that our proposed method can produce an opportunistic maintenance scheme that ensures the optimal combination of production capacity and cost in seriesparallel systems with multi-stage bottlenecks.