Burn-in for Eliminating Weak Items in Heterogeneous Populations

Ji Hwan Cha and Maxim Finkelstein

Communications in Statistics - Theory and Methods, 2014, vol. 43, issue 24, 5115-5129

Abstract: Burn-in is a method of eliminating early failures in populations of manufactured items. To burn-in a component or a system means to subject it to a ‘‘simulated operation’’ for some time (prior to its actual field use). Various optimal burn-in problems have been intensively studied in the literature under the assumption of decreasing or bathtub-shaped failure rates. However, most of these studies have been conducted for homogeneous populations. In this paper, we discuss burn-in for heterogeneous populations and develop approaches that minimize the risks of selecting items with large levels of individual failure rates. Using simple examples, we consider the optimal burn-in time, which minimizes these risks.

Date: 2014
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DOI: 10.1080/03610926.2012.744054

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