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A bivariate optimal replacement policy with cumulative repair cost limit under cumulative damage model

机译:累积损坏模型下具有累积维修费用限额的双变量最优更换策略

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In this paper, a bivariate replacement policy (n, T) for a cumulative shock damage process is presented that included the concept of cumulative repair cost limit. The arrival shocks can be divided into two kinds of shocks. Each type-I shock causes a random amount of damage and these damages are additive. When the total damage exceeds a failure level, the system goes into serious failure. Type-II shock causes the system into minor failure and such a failure can be corrected by minimal repair. When a minor failure occurs, the repaircost will be evaluated and minimal repair is executed if the accumulated repair cost is less than a predetermined limit L. The system is replaced at scheduled time T, at n-th minor failure, or at serious failure. The long-term expected cost per unit time is derived using the expected costs as the optimality criterion. The minimum-cost policy is derived, and existence and uniqueness of the optimal n * and T * are proved. This bivariate optimal replacement policy (n, T) is showed to be better than the optimal T * and the optimal n * policy.
机译:在本文中,提出了一种针对累积冲击损伤过程的双变量替换策略(n,T),其中包括累积维修成本限制的概念。到达冲击可分为两种冲击。每次I型电击都会造成随机的损坏,并且这些损坏是累加的。当总损坏超过故障水平时,系统将陷入严重故障。 II型电击会导致系统发生轻微故障,可以通过最少的维修来纠正此类故障。当发生轻微故障时,如果累积的维修费用小于预定的限制L,则将评估维修费用并执行最少的维修。在计划的时间T,第n次轻微故障或严重故障时更换系统。使用预期成本作为最优标准,得出每单位时间的长期预期成本。推导了最小成本策略,并证明了最优n *和T *的存在性和唯一性。该双变量最优替换策略(n,T)被证明比最优T *和最优n *策略更好。

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