Wu, Shaomin, 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:10.1016/j.ress.2005.03.012) (KAR id:31024)
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Official URL: http://dx.doi.org/10.1016/j.ress.2005.03.012 |
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.
Item Type: | Article |
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DOI/Identification number: | 10.1016/j.ress.2005.03.012 |
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: | Divisions > Kent Business School - Division > Department of Analytics, Operations and Systems |
Depositing User: | Shaomin Wu |
Date Deposited: | 01 Oct 2012 16:15 UTC |
Last Modified: | 16 Nov 2021 10:08 UTC |
Resource URI: | https://kar.kent.ac.uk/id/eprint/31024 (The current URI for this page, for reference purposes) |
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