Abstract
Models for repairable systems are often characterized by the assumed effect of a failure and the subsequent repair. As-bad-as-old models lead to the nonhomogeneous Poisson process and as-good-as-new models lead to the renewal process. We study Bayesian methods for some models that are a compromise between the bad-as-old and the good-as-new models. For the case of multiple systems, we consider a hierarchical Bayes model. We use Markov chain Monto Carlo methods to approximate properties of the posterior distributions.
Original language | English (US) |
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Pages (from-to) | 82-94 |
Number of pages | 13 |
Journal | Journal of Quality Technology |
Volume | 41 |
Issue number | 1 |
DOIs | |
State | Published - Jan 2009 |
Keywords
- Hierarchical bayes model
- Imperfect repair
- Markov chain Monte Carlo
- Power law process
ASJC Scopus subject areas
- Safety, Risk, Reliability and Quality
- Strategy and Management
- Management Science and Operations Research
- Industrial and Manufacturing Engineering