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Selective maintenance modeling for industrial systems

C. Richard Cassady (University of Arkansas, Fayetteville, USA)
Edward A. Pohl (Air Force Institute of Technology, Wright‐Patterson AFB, USA)
W. Paul Murdock (Air Force Institute of Technology, Wright‐Patterson AFB, USA)

Journal of Quality in Maintenance Engineering

ISSN: 1355-2511

Article publication date: 1 June 2001

2491

Abstract

In many industrial environments, systems are required to perform a sequence of operations (or missions) with finite breaks between each operation. During these breaks, it may be advantageous to perform repair on some of the system’s components. However, it may be impossible to perform all desirable maintenance activities prior to the beginning of the next mission due to limitations on maintenance resources. In this paper, a mathematical programming framework is established for assisting decision‐makers in determining the optimal subset of maintenance activities to perform prior to beginning the next mission. This decision‐making process is referred to as selective maintenance. The selective maintenance models presented allow the decision‐maker to consider limitations on maintenance time and budget, as well as the reliability of the system. Selective maintenance is an open research area that is consistent with the modern industrial objective of performing more intelligent and efficient maintenance.

Keywords

Citation

Cassady, C.R., Pohl, E.A. and Paul Murdock, W. (2001), "Selective maintenance modeling for industrial systems", Journal of Quality in Maintenance Engineering, Vol. 7 No. 2, pp. 104-117. https://doi.org/10.1108/13552510110397412

Publisher

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MCB UP Ltd

Copyright © 2001, MCB UP Limited

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