• DocumentCode
    1183360
  • Title

    Optimal maintenance-policies for deteriorating systems under various maintenance strategies

  • Author

    Lam, C. Teresa ; Yeh, R.H.

  • Author_Institution
    Dept. of Ind. & Oper. Eng., Michigan Univ., Ann Arbor, MI, USA
  • Volume
    43
  • Issue
    3
  • fYear
    1994
  • fDate
    9/1/1994 12:00:00 AM
  • Firstpage
    423
  • Lastpage
    430
  • Abstract
    This paper presents algorithms for deriving optimal maintenance policies to minimize the mean long-run cost-rate for continuous-time Markov deteriorating systems. The degree of deterioration (except failure) of the system is known only through inspection. The time durations of inspection and replacement are nonnegligible. The costs are for inspection, replacement, operation, and downtime (idle). In particular, the replacement time, replacement cost, and operating cost-rate increase as the system deteriorates. Five maintenance strategies are considered-failure replacement, age replacement, sequential inspection, periodic inspection, and continuous inspection. Iterative algorithms are developed to derive the optimal maintenance policy and the corresponding cost rate for each strategy. Under sufficient conditions, structural optimal policies are obtained
  • Keywords
    inspection; iterative methods; maintenance engineering; reliability theory; age replacement; continuous inspection; continuous-time Markov deteriorating systems; deteriorating systems; failure replacement; iterative algorithms; maintenance strategies; mean long-run cost-rate; operating cost-rate increase; optimal maintenance-policies; periodic inspection; replacement cost; replacement time; sequential inspection; Algorithm design and analysis; Cost function; Electric shock; Inspection; Iterative algorithms; Maintenance; Manufacturing systems; Markov processes; Nonlinear dynamical systems; Reliability theory;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/24.326439
  • Filename
    326439