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Joint Optimization of Condition-based Preventive Maintenance and Spare Ordering Policy

机译:基于条件的预防性维护和备件订购策略的联合优化

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Spare provision under preventive maintenance can be an effective way to reduce operating costs. A joint strategy of stock provision and condition-based preventive maintenance is considered. Continuous review ordering policy (s,S)is combined with an inspection period for condition-based preventive maintenance. With a form (T,s,S), the joint strategy is evaluated by costs associated with maintenance and inventory. A general approach to integrating simulation with GA is proposed to search optimal joint strategy, where performance measures for specified strategy are obtained by simulation and then optimal values are searched by GA. Numerical results of an illustrative example for liquid-floated gyros indicate that the joint strategies outperform separate optimization of maintenance and spare provisioning policies when total system cost is to be minimized.
机译:预防性维护下的备件供应是降低运营成本的有效方法。考虑了库存和基于条件的预防性维护的联合策略。持续审核订购策略(s,S)与基于状态的预防性维护的检查期相结合,使用表格(T,s,S),联合策略由与维护和库存相关的成本进行评估。提出了一种将遗传算法与遗传算法相结合的方法,以寻找最优联合策略,并通过仿真得到了特定策略的性能指标,然后通过遗传算法搜索出最优值;液浮陀螺仪实例的数值结果表明,联合策略优于单独优化。当要使总系统成本最小化时维护和备用供应策略的实施。

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