Maintenance optimization for capital goods when information is incomplete and environment-dependent

IF 2 3区 工程技术 Q3 ENGINEERING, INDUSTRIAL IISE Transactions Pub Date : 2023-09-11 DOI:10.1080/24725854.2023.2257245
Ragnar Eggertsson, Rob Basten, Geert-Jan van Houtum
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Abstract

–We study the problem of inspection and maintenance planning of capital goods based on observations of the capital good’s degradation state. However, the observations are imprecise, and their quality depends on the environment. For example, when performing maintenance for heating, ventilation, and air-conditioning units (HVACs) in trains, the health of the cooling component of an HVAC can be assessed from temperature readouts of the car in which the HVAC is mounted. Temperature information is useful in the summer when high car temperatures can indicate a failed cooling component, but this information has limited value during the winter. We model the problem as a partially observable Markov decision process with a fully observed environment. We analytically show that an environment-dependent monotonic at-most-4-region policy is optimal. Furthermore, we numerically analyze an example motivated by HVAC maintenance at Dutch Railways. This analysis shows that, in many cases, including the environment in the model can lead to cost savings of more than 10%. In a broad numerical experiment, we show that a simple policy cannot always substitute an optimal policy.
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当信息不完整且依赖于环境时,资本品的维护优化
-基于对资本品退化状态的观察,研究资本品的检查和维护计划问题。然而,这些观测结果并不精确,而且它们的质量取决于环境。例如,在对火车上的供暖、通风和空调单元(HVAC)进行维护时,可以通过安装HVAC的车厢的温度读数来评估HVAC冷却组件的健康状况。温度信息在夏季是有用的,因为汽车的高温可能表明冷却组件失效,但在冬季,这些信息的价值有限。我们将问题建模为具有完全可观察环境的部分可观察马尔可夫决策过程。我们分析地证明了环境相关的最多4个区域单调策略是最优的。此外,我们还对荷兰铁路暖通空调维修的一个实例进行了数值分析。该分析表明,在许多情况下,在模型中包含环境可以节省超过10%的成本。在一个广泛的数值实验中,我们证明了一个简单的策略不能总是代替最优策略。
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来源期刊
IISE Transactions
IISE Transactions Engineering-Industrial and Manufacturing Engineering
CiteScore
5.70
自引率
7.70%
发文量
93
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