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Coordinated condition-based repair strategies for components of a multi-component maintenance system with discounts

机译:具有折扣的多组件维护系统组件的基于状态的协调维修策略

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摘要

This paper presents a heuristic algorithm for computing upper and lower control limit values for the repair of components (which need not be identical) in a multi-component system. The cost structure is composed of repair, operating and failure costs. An essential feature of the model is that reduction in repair costs can be achieved by coordinating the repair of several components and thus paying set-up costs only once. The algorithm searches for a simple rule per component in order to minimise long-run average cost per unit of time for the system as a whole. This opportunistic rule per component has a simple structure: it consists of an upper limit inducing mandatory repair and of several lower limits. Each lower limit corresponds to the potential for saving an amount of repair costs when an opportunity for a specific coordination presents itself. The heuristic procedure is based on decomposition producing single-component problems. Each single-component problem is solved as a Markov decision problem, allowing the model to cope with a large number of components.
机译:本文提出了一种启发式算法,用于计算多组件系统中组件修复的上,下控制极限值(不必相同)。成本结构由维修,运营和故障成本组成。该模型的一个基本特征是可以通过协调多个组件的修理来降低修理成本,因此只需支付一次安装费用。该算法为每个组件搜索一条简单规则,以最大程度地减少整个系统单位时间的长期平均成本。每个组件的这种机会主义规则具有简单的结构:它由引发强制性维修的上限和几个下限组成。每个下限对应于在出现特定协调机会时可能节省大量维修成本的可能性。启发式过程基于分解产生单组分问题。每个单个组件问题都作为Markov决策问题解决,从而使模型可以处理大量组件。

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