Preventive maintenance at opportunities of restricted duration
研究了在随机出现的、时长受限的机会中，如何为维护包设定执行优先级，通过模型确定最优执行时间并建立偏离成本准则，用蒙特卡洛模拟比较了不同启发式方法的表现。
This article deals with the problem of setting priorities for the execution of maintenance packages at randomly occurring opportunities. These opportunities are of restricted duration, implying that only a limited number of packages can be executed. The main idea proposed is to set up a model for determining the optimal execution time for the individual maintenance packages and to develop cost criteria for deviations from the optimal time. In this article we use the block replacement model, but the approach can be easily extended to include other optimization models as well. Using Monte Carlo simulation the performance of the method is compared with various heuristics, both for a two-package and a multipackage case. © 1994 John Wiley & Sons, Inc.