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Application of a semi-Markov model and a simulated annealing algorithm for the selection of an optimal maintenance policy for power equipment

Author

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  • M. Stopczyk
  • B. Sakowicz
  • G.J. Anders

Abstract

This paper describes a maintenance policy model based on semi-Markov processes. The optimal policy is found by means of multi-objective optimisation and a modified simulated annealing algorithm. The procedure is illustrated through a practical example that involves finding an optimal maintenance policy for a circuit breaker that is subjected to frequent minimal repairs and occasionally to a major overhaul.

Suggested Citation

  • M. Stopczyk & B. Sakowicz & G.J. Anders, 2008. "Application of a semi-Markov model and a simulated annealing algorithm for the selection of an optimal maintenance policy for power equipment," International Journal of Reliability and Safety, Inderscience Enterprises Ltd, vol. 2(1/2), pages 129-145.
    • Handle: RePEc:ids:ijrsaf:v:2:y:2008:i:1/2:p:129-145
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    Cited by:

    1. Rumin Teng & Jifei Liang & Guanglei Wu & Dianlong Wang & Xin Wang, 2019. "An optimal preventive maintenance strategy for the hydraulic system of platform firefighting vehicle based on the improved NSGA-II algorithm," Journal of Risk and Reliability, , vol. 233(6), pages 978-989, December.

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