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Optimal preventive maintenance and repair policies for multi-state systems

机译:多状态系统的最佳预防性维护和维修策略

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This paper studies the optimal preventive maintenance (PM) policies for multi-state systems. The scheduled PMs can be either imperfect or perfect type. The improved effective age is utilized to model the effect of an imperfect PM. The system is considered as in a failure state (unacceptable state) once its performance level falls below a given customer demand level. If the system fails before a scheduled PM, it is repaired and becomes operational again. We consider three types of major, minimal, and imperfect repair actions, respectively. The deterioration of the system is assumed to follow a non-homogeneous continuous time Markov process (NHCTMP) with finite state space. A recursive approach is proposed to efficiently compute the time-dependent distribution of the multi-state system. For each repair type, we find the optimal PM schedule that minimizes the average cost rate. The main implication of our results is that in determining the optimal scheduled PM, choosing the right repair type will significantly improve the efficiency of the system maintenance. Thus PM and repair decisions must be made jointly to achieve the best performance. (C) 2015 Elsevier Ltd. All rights reserved.
机译:本文研究了多状态系统的最佳预防性维护(PM)策略。预定的PM可以是不完美的类型,也可以是完美的类型。改善的有效年龄被用来模拟不完美PM的影响。一旦系统的性能水平降到给定的客户需求水平以下,就认为该系统处于故障状态(无法接受的状态)。如果系统在预定的PM之前发生故障,则将其修复并重新运行。我们分别考虑三种主要,最小和不完善的维修措施。假设系统的恶化遵循具有有限状态空间的非均匀连续时间马尔可夫过程(NHCTMP)。提出了一种递归方法来有效地计算多状态系统的时间相关分布。对于每种维修类型,我们都找到了使平均成本率最小化的最佳PM计划。我们的结果的主要含义是,在确定最佳计划的PM时,选择正确的维修类型将显着提高系统维护的效率。因此,必须共同制定PM和维修决策,以实现最佳性能。 (C)2015 Elsevier Ltd.保留所有权利。

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