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.
Original language | English |
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Pages (from-to) | 5115-5129 |
Number of pages | 15 |
Journal | Communications in Statistics - Theory and Methods |
Volume | 43 |
Issue number | 24 |
DOIs | |
State | Published - 17 Dec 2014 |
Bibliographical note
Publisher Copyright:Copyright © 2014 Taylor & Francis Group, LLC.
Keywords
- Average loss
- Burn-in
- Conservative measure
- Heterogeneous population
- Stochastically ordered subpopulations