A bivariate maintenance policy for multi-state repairable systems with monotone process

Mimi Zhang, Min Xie, Olivier Gaudoin

    Research output: Journal Publications and ReviewsRGC 21 - Publication in refereed journalpeer-review

    32 Citations (Scopus)

    Abstract

    This paper proposes a sequential failure limit maintenance policy for a repairable system. The objective system is assumed to have k+1 states, including one working state and k failure states, and the multiple failure states are classified potentially by features such as failure severity or failure cause. The system deteriorates over time and will be replaced upon the N th failure. Corrective maintenance is performed immediately upon each of the first (N-1) failures. To avoid the costly failure, preventive maintenance actions will be performed as soon as the system's reliability drops to a critical threshold R. Both preventive maintenance and corrective maintenance are assumed to be imperfect. Increasing and decreasing geometric processes are introduced to characterize the efficiency of preventive maintenance and corrective maintenance. The objective is to derive an optimal maintenance policy (R*,N*) such that the long-run expected cost per unit time is minimized. The analytical expression of the cost rate function is derived, and the corresponding optimal maintenance policy can be determined numerically. A numerical example is given to illustrate the theoretical results and the maintaining procedure. The decision model shows its adaptability to different possible characteristics of the maintained system. © 1963-2012 IEEE.
    Original languageEnglish
    Article number6634272
    Pages (from-to)876-886
    JournalIEEE Transactions on Reliability
    Volume62
    Issue number4
    Online published16 Oct 2013
    DOIs
    Publication statusPublished - Dec 2013

    Research Keywords

    • Geometric process
    • Multiple failure states
    • Quasirenewal process
    • Sequential failure limit policy

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