A decision model for deteriorating repairable systems

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20 引文 斯高帕斯(Scopus)


Complex systems are generally repaired rather than replaced after failures. If deterioration in a repairable system is detected, i.e., the successive inter-failure times become stochastically smaller and smaller, then the decision of when to overhaul or discard the system is of fundamental importance. However, such a decision involves many uncertainties, such as the initial status of the system, the degree of deterioration, expected system lifetime, repair cost, accidental cost, etc, which are important factors and need to be evaluated carefully. In this paper, a Bayesian decision theoretic approach is developed. A nonhomogeneous Poisson process with a power law failure intensity function is used to describe the behavior of the deteriorating repairable system. Also, a proposed natural conjugate prior distribution is applied to make the Bayesian decision-making process more effective and efficient.

頁(從 - 到)479-485
期刊IIE Transactions (Institute of Industrial Engineers)
出版狀態Published - 2001 6月

All Science Journal Classification (ASJC) codes

  • 工業與製造工程


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