Burn-in and the performance quality measures in heterogeneous populations

Ji Hwan Cha, Maxim Finkelstein

Research output: Contribution to journalArticlepeer-review

20 Scopus citations


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.

Original languageEnglish
Pages (from-to)273-280
Number of pages8
JournalEuropean Journal of Operational Research
Issue number2
StatePublished - 16 Apr 2011


  • Burn-in
  • Heterogeneous population
  • Performance quality measures
  • Reliability
  • Stochastically ordered subpopulations


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