Burn-in for eliminating weak items in heterogeneous populations

Ji Hwan Cha, Maxim Finkelstein

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2 Scopus citations


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 languageEnglish
Pages (from-to)5115-5129
Number of pages15
JournalCommunications in Statistics - Theory and Methods
Issue number24
StatePublished - 17 Dec 2014

Bibliographical note

Publisher Copyright:
Copyright © 2014 Taylor & Francis Group, LLC.


  • Average loss
  • Burn-in
  • Conservative measure
  • Heterogeneous population
  • Stochastically ordered subpopulations


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