• DocumentCode
    1149849
  • Title

    A geometric-process maintenance model for a deteriorating system under a random environment

  • Author

    Lam, Yeh ; Zhang, Yuan Lin

  • Author_Institution
    Dept. of Stat. & Actuarial Sci., Hong Kong Univ., China
  • Volume
    52
  • Issue
    1
  • fYear
    2003
  • fDate
    3/1/2003 12:00:00 AM
  • Firstpage
    83
  • Lastpage
    89
  • Abstract
    This paper studies a geometric-process maintenance-model for a deteriorating system under a random environment. Assume that the number of random shocks, up to time t, produced by the random environment forms a counting process. Whenever a random shock arrives, the system operating time is reduced. The successive reductions in the system operating time are statistically independent and identically distributed random variables. Assume that the consecutive repair times of the system after failures, form an increasing geometric process; under the condition that the system suffers no random shock, the successive operating times of the system after repairs constitute a decreasing geometric process. A replacement policy N, by which the system is replaced at the time of the failure N, is adopted. An explicit expression for the average cost rate (long-run average cost per unit time) is derived. Then, an optimal replacement policy is determined analytically. As a particular case, a compound Poisson process model is also studied.
  • Keywords
    maintenance engineering; random processes; stochastic processes; average cost rate; compound Poisson process model; consecutive repair times; counting process; decreasing geometric process; deteriorating system; geometric process; geometric-process maintenance model; identically distributed random variables; long-run average cost per unit time; optimal replacement policy; random environment; random shock; successive reductions; system operating time; system successive operating times; Aging; Cost function; Distribution functions; Electric shock; Mathematics; Probability density function; Random variables; Solid modeling; Statistics; Stochastic processes;
  • fLanguage
    English
  • Journal_Title
    Reliability, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9529
  • Type

    jour

  • DOI
    10.1109/TR.2002.807243
  • Filename
    1179805