Preventive maintenance models with random maintenance quality

Shaomin Wu and Derek Clements-Croome

Reliability Engineering and System Safety, 2005, vol. 90, issue 1, 99-105

Abstract: In real-world environments it is usually difficult to specify the quality of a preventive maintenance (PM) action precisely. This uncertainty makes it problematic to optimise maintenance policy. This problem is tackled in this paper by assuming that the quality of a PM action is a random variable following a probability distribution. Two frequently studied PM models, a failure rate PM model and an age reduction PM model, are investigated. The optimal PM policies are presented and optimised. Numerical examples are also given.

Keywords: Preventive maintenance; Long-run average cost; Failure rate; Maintenance quality (search for similar items in EconPapers)
Date: 2005
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Citations: View citations in EconPapers (19)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:reensy:v:90:y:2005:i:1:p:99-105

DOI: 10.1016/j.ress.2005.03.012

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