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Optimal Maintenance Policies Under Different Operational Schedules

Wu, Shaomin, Clements-Croome, Derek (2005) Optimal Maintenance Policies Under Different Operational Schedules. IEEE Transactions on Reliability, 54 (2). pp. 338-346. ISSN 0018-9529. (doi:10.1109/TR.2005.847255) (KAR id:31026)


In the reliability literature, maintenance time is usually ignored during the optimization of maintenance policies. In some scenarios, costs due to system failures may vary with time, and the ignorance of maintenance time will lead to unrealistic results. This paper develops maintenance policies for such situations where the system under study operates iteratively at two successive states: up or down. The costs due to system failure at the up state consist of both business losses & maintenance costs, whereas those at the down state only include maintenance costs. We consider three models: Model A, B, and C: � Mod el A makes only corrective maintenance (CM). � Model B perfor ms imperfect preventive maintenance (PM) sequentially, and CM. � Model C executes PM periodically, and CM; thi s PM can restore the system as good as the state just after the latest CM. The CM in this pa per is imperfect repair. Finally, the impact of these maintenance policies is illustrated through numerical examples. © 2005 IEEE.

Item Type: Article
DOI/Identification number: 10.1109/TR.2005.847255
Additional information: Unmapped bibliographic data: PY - 2005/// [EPrints field already has value set] AD - School of Construction Management and Engineering, University of Reading, Whiteknights, Reading RG6 6AW, United Kingdom [Field not mapped to EPrints] JA - IEEE Trans Reliab [Field not mapped to EPrints]
Uncontrolled keywords: Corrective maintenance, Cost optimization, Geometric process, Preventive maintenance, Computational geometry, Mathematical models, Numerical methods, Optimization, Preventive maintenance, Probability distributions, Scheduling, Corrective maintenance, Cost optimization, Geometric process, System failure, Reliability theory
Subjects: H Social Sciences
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: 26 Sep 2012 16:23 UTC
Last Modified: 16 Nov 2021 10:08 UTC
Resource URI: (The current URI for this page, for reference purposes)

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