Optimal design and maintenance of a repairable multi-state system with standby components

Ramin Moghaddass, Ming J. Zuo, Mayank Pandey

Research output: Contribution to journalArticle

25 Scopus citations

Abstract

The configuration of a repairable system directly influences its performance measures, such as mean time between failures and steady state availability. Additionally, maintenance strategies such as corrective, preventive, and condition-based can affect the performance of the system. The objective of this work is to investigate the trade-offs between the configuration of a repairable multi-state system with binary components and its maintenance strategy. The corresponding stochastic process for the proposed model is formulated using the continuous-time Markov process and important performance measures of such a multi-state system are derived. An optimization model is introduced for the cost-effective design of this repairable multi-state system. The results are demonstrated using a numerical example for a power generation system.

Original languageEnglish (US)
Pages (from-to)2409-2420
Number of pages12
JournalJournal of Statistical Planning and Inference
Volume142
Issue number8
DOIs
StatePublished - Aug 1 2012
Externally publishedYes

Keywords

  • Maintenance strategies
  • Optimal design
  • Redundancy
  • Repairable multi-state system

ASJC Scopus subject areas

  • Statistics and Probability
  • Statistics, Probability and Uncertainty
  • Applied Mathematics

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