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Non-periodic inspection optimization of multi-component and k-out-of-m systems

机译:多组件和k-out-of-m系统的非定期检查优化

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This paper proposes a model to find the optimal non-periodic inspection interval over a finite planning horizon for two types of multi-component repairable systems. The first system contains hard-type and soft-type components, and the second system is a k-out-of-m system with m identical components. The failures of components in both systems follow a non-homogeneous Poisson process. A component can be a single part such as battery or line cord, or a subsystem, such as circuit breaker or charger in an infusion pump, which depending on their failures could be either replaced or minimally repaired according to their ages at failure. The systems are inspected at scheduled inspections or when an event of opportunistic inspection or a system failure occur. We develop a model to find the optimal inspection scheme for each system, which results in the minimum total expected cost over the system's lifecycle. We first develop a simulation model to obtain the total expected cost for a given non-periodic inspection scheme, and then integrate the simulation model with a genetic algorithm to obtain the optimal scheme more efficiently. (C) 2016 Elsevier Ltd. All rights reserved.
机译:本文提出了一个模型,用于在两种类型的多组件可修复系统的有限计划范围内找到最佳的非定期检查间隔。第一个系统包含硬类型和软类型组件,第二个系统是m个组件相同的k个系统。两个系统中组件的故障均遵循非均匀的泊松过程。组件可以是单个部件,例如电池或电源线,也可以是子系统,例如输液泵中的断路器或充电器,根据其故障,可以根据故障的年限对其进行更换或进行最少的维修。在计划的检查中或在机会检查或系统故障发生时检查系统。我们开发了一个模型,以找到每个系统的最佳检查方案,从而在系统的整个生命周期中获得最低的总预期成本。我们首先开发一个仿真模型,以获得给定非定期检查方案的总预期成本,然后将仿真模型与遗传算法集成在一起,以更有效地获得最优方案。 (C)2016 Elsevier Ltd.保留所有权利。

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