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Optimal joint maintenance and operation policies to maximise overall systems effectiveness

机译:最佳的联合维护和运营策略,以最大限度地提高整体系统效率

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摘要

In this paper, the problem of determining the optimal maintenance and operation policies for a multi-state, multi-stage machine maintenance problem is considered. This problem has been formulated in the literature as a Partially Observed Markov Decision Process (POMDP). A new formulation that explicitly ties maintenance, operation, and quality within the POMDP framework is provided. The new formulation maximises Overall Systems Effectiveness for an n-state system with multiple speed and maintenance actions. The model provides, for each time epoch, a set of optimal maintenance and production-rate actions. The decision-maker (controller) can select the optimal policy depending on the system state occupancy vector (belief state). A realistic numerical model is presented to demonstrate the model utility.
机译:本文考虑了为多状态,多阶段机器维护问题确定最佳维护和操作策略的问题。该问题在文献中已被表述为部分观测的马尔可夫决策过程(POMDP)。提供了一种新的公式,该公式明确地将POMDP框架内的维护,操作和质量联系在一起。新的配方使具有多个速度和维护措施的n状态系统的整体系统效率最大化。该模型为每个时间段提供了一组最佳维护和生产率措施。决策者(控制器)可以根据系统状态占用向量(信任状态)来选择最佳策略。提出了一个现实的数值模型来证明模型的实用性。

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