Burn-in and the performance quality measures in heterogeneous populations
Burn-in is a widely used engineering method of elimination of defective items before they are shipped to customers or put into field operation. Under the assumption that a population is described by the decreasing or bathtub-shaped failure rate functions, various optimal burn-in problems have been intensively studied in the literature. In this paper, we consider a new model and assume that a population is composed of stochastically ordered subpopulations described by their own performance quality measures. It turns out that this setting can justify burn-in even in situations when it is not justified in the framework of conventional approaches. For instance, it is shown that it can be reasonable to perform burn-in even when the failure rate function that describes the heterogeneous population of items increases and this is one of the main and important findings of our study.
Year of publication: |
2011
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Authors: | Cha, Ji Hwan ; Finkelstein, Maxim |
Published in: |
European Journal of Operational Research. - Elsevier, ISSN 0377-2217. - Vol. 210.2011, 2, p. 273-280
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Publisher: |
Elsevier |
Keywords: | Reliability Burn-in Heterogeneous population Stochastically ordered subpopulations Performance quality measures |
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