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A bivariate mixed policy for a simple repairable system based on preventive repair and failure repair

机译:基于预防性修复和故障修复的简单可修复系统的双变量混合策略

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In this paper, a simple repairable system (i.e. a one-component repairable system with one repairman) with preventive repair and failure repair is studied. Assume that the preventive repair is adopted before the system fails, when the system reliability drops to an undetermined constant R, the work will be interrupted and the preventive repair is executed at once. And assume that the preventive repair of the system is "as good as new" while the failure repair of the system is not, and the deterioration of the system is stochastic. Under these assumptions, by using geometric process, we present a bivariate mixed policy (R, N), respectively based on a scale of the system reliability and the failure-number of the system. Our aim is to determine an optimal mixed policy (R, N)' such that the long-run average cost per unit time (i.e. the average cost rate) is minimized. The explicit expression of the average cost rate is derived, and the corresponding optimal mixed policy can be determined analytically or numerically. Finally, a numerical example is given where the working time of the system yields a Weibull distribution. Some comparisons with a certain existing policy are also discussed by numerical methods.
机译:在本文中,研究了具有预防性修理和故障修理的简单可修理系统(即具有一名修理工的单组件可修理系统)。假设在系统出现故障之前进行了预防性维修,当系统可靠性下降到不确定的常数R时,工作将被中断,并立即执行预防性维修。并假定系统的预防性维修“与新的一样好”,而系统的故障性维修则不是,并且系统的退化是随机的。在这些假设下,通过使用几何过程,我们分别基于系统可靠性的规模和系统的故障数来提出双变量混合策略(R,N)。我们的目标是确定最佳混合策略(R,N)',以使单位时间的长期平均成本(即平均成本率)最小化。得出平均成本率的显式表达式,并且可以通过分析或数值确定相应的最佳混合策略。最后,给出了一个数值示例,其中系统的工作时间产生了威布尔分布。还通过数值方法讨论了与某些现有策略的一些比较。

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