Burn-in for Heterogeneous Populations

Maxim Finkelstein () and Ji Hwan Cha ()
Additional contact information
Maxim Finkelstein: University of the Free State
Ji Hwan Cha: Ewha Womans University

Chapter Chapter 8 in Stochastic Modeling for Reliability, 2013, pp 261-312 from Springer

Abstract: Abstract In the previous chapters, we discussed the burn-in procedures for homogeneous populations. When the failure rate of a population is decreasing or bathtub-shaped (BT), burn-in can be usually justified. Note that, as mentioned and illustrated earlier, the heterogeneity of populations is often a reason for the decrease in the resulting failure rate, at least, in some time intervals. In this chapter, the optimal burn-in procedures are investigated without assuming that the population failure rate is BT. We consider the mixed population composed of two ordered subpopulations—the subpopulation of strong items (items with ‘normal’ lifetimes) and that of weak items (items with shorter lifetimes). In practice, weak items may be produced along with strong items due to, for example, defective resources and components, human errors, unstable production environment, etc. In the later part of this section, we will also consider the continuous mixtures model.

Keywords: Failure Rate; Weak Component; Mission Time; Minimal Repair; Failure Rate Function (search for similar items in EconPapers)
Date: 2013
References: Add references at CitEc
Citations: View citations in EconPapers (70)

There are no downloads for this item, see the EconPapers FAQ for hints about obtaining it.

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-1-4471-5028-2_8

Ordering information: This item can be ordered from
http://www.springer.com/9781447150282

DOI: 10.1007/978-1-4471-5028-2_8

Access Statistics for this chapter

More chapters in Springer Series in Reliability Engineering from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().