Preventive Maintenance Models with Random Maintenance Quality

Wu, Shaomin and Clements-Croome, Derek (2005) Preventive Maintenance Models with Random Maintenance Quality. Reliability Engineering and System Safety, 90 (1). pp. 99-105. ISSN 0951-8320 . (doi: (Full text available)

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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.

Item Type: Article
Additional information: Unmapped bibliographic data: PY - 2005/// [EPrints field already has value set] AD - School of Construction Management and Engineering, The University of Reading, RG6 6AW, Reading, United Kingdom [Field not mapped to EPrints] JA - Reliab Eng Syst Saf [Field not mapped to EPrints]
Uncontrolled keywords: Failure rate, Long-run average cost, Maintenance quality, Preventive maintenance, Failure analysis, Mathematical models, Numerical analysis, Optimization, Parameter estimation, Probability distributions, Problem solving, Random processes, Reliability, Failure rate, Long-run average cost, Maintenance quality, Optimization problems, Preventive maintenance
Subjects: H Social Sciences > HA Statistics > HA33 Management Science
Divisions: Faculties > Social Sciences > Kent Business School > Management Science
Depositing User: Shaomin Wu
Date Deposited: 01 Oct 2012 16:15 UTC
Last Modified: 17 Apr 2014 09:31 UTC
Resource URI: (The current URI for this page, for reference purposes)
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