Towards Practical and Synthetical Modelling of Repairable Systems

Guo R., Ascher H. and Love E.
Additional contact information
Guo R.: Department of Statistical Sciences, University of Cape Town, Private Bag, Rondebosch 7701, R.S.A.
Ascher H.: Harold E. Ascher & Associates, Statistical Consulting & Reliability Engineering, 1196 Goya Drive, Potomac, MD 20854, U.S.A.
Love E.: Faculty of Business Administration, Simon Fraser University, Burnaby, BC, Canada V5A 1S6

Stochastics and Quality Control, 2001, vol. 16, issue 1, 147-182

Abstract: In this article, we survey the developments with respect to generalized models of repairable systems during the 1990s, particularly for the last five years. In this field, we notice the sharp fundamental problem that voluminous and complicated models are proposed without sufficient evidence (or data) for justifying a success in tackling real engineering problems. Instead of following the myth of using simple models to face complicated reality, and based on our own research experiences, we select and review some practical models, in the quickly growing areas: age models, condition monitoring models, and shock and wear models, including the delay-time models. Further, we also notice that there is an attempt to develop synthetical models from a different point of view. Therefore, we comment the relevant developments with strong emphasis on stochastic processes reflecting the intrinsic nature of the actual physical dynamics of those repairable system models.

Date: 2001
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DOI: 10.1515/EQC.2001.147

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