Selective preventive maintenance scheduling under imperfect repair

M. Pandey, M. Zuo
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引用次数: 7

Abstract

The demand for a system is sometimes available only for a finite time horizon. It thus becomes necessary to schedule maintenance activities during a given planning horizon such that the desired system performance is maintained and the available resources are optimally allocated. In this paper, a mathematical model is proposed for periodically planning preventive maintenance activities for a system comprising multiple components. Due to resource limitations, it may not be possible to perform all desired maintenance options; hence, a selective maintenance approach is used to find the components to be maintained and maintenance actions to be performed on the selected components. An imperfect maintenance based hybrid model is considered here which includes age reduction as well as hazard adjustment after maintenance. Due to the high dimension of the solution domain, evolutionary approach is used to solve the problem. The optimal number of intervals is found under reliability and maintenance time constraints. During each maintenance break, the optimal maintenance option is selected for each component such that the overall cost of maintenance and possible failures for the entire planning horizon is minimized. It is also found that considering one interval at a time will incur higher cost.
不完全修理条件下的选择性预防性维修计划
对系统的需求有时只能在有限的时间范围内可用。因此,有必要在给定的计划范围内安排维护活动,以便维持所需的系统性能并最佳地分配可用资源。本文提出了一个由多个部件组成的系统定期计划预防性维护活动的数学模型。由于资源限制,可能无法执行所有所需的维护选项;因此,使用选择性维护方法来查找要维护的组件和要在所选组件上执行的维护操作。本文考虑了一种不完善的基于维修的混合模型,该模型包括了维修后的年龄减少和危险调整。由于求解域的高维性,采用进化方法求解该问题。在可靠性和维护时间约束下,找到了最优的间隔数。在每次维护中断期间,为每个组件选择最优维护选项,从而使整个计划范围内的维护总成本和可能的故障最小化。同时也发现,一次只考虑一个区间会产生更高的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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