Stochastically ordered subpopulations and optimal burn-in procedure

Ji Cha and Maxim S. Finkelstein
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Maxim S. Finkelstein: Max Planck Institute for Demographic Research, Rostock, Germany

No WP-2009-030, MPIDR Working Papers from Max Planck Institute for Demographic Research, Rostock, Germany

Abstract: Burn-in is a widely used engineering method which is adopted to eliminate defective items before they are shipped to customers or put into the field operation. In the studies of burn-in, the assumption of bathtub shaped failure rate function is usually employed and optimal burn-in procedures are investigated. In this paper, however, we assume that the population is composed of two ordered subpopulations and optimal burn-in procedures are studied in this context. Two types of risks are defined and an optimal burn-in procedure, which minimizes the weighted risks is studied. The joint optimal solutions for the optimal burn-in procedure, which minimizes the mean number of repairs during the field operation, are also investigated.

JEL-codes: J1 Z0 (search for similar items in EconPapers)
Pages: 18 pages
Date: 2009
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Persistent link: https://EconPapers.repec.org/RePEc:dem:wpaper:wp-2009-030

DOI: 10.4054/MPIDR-WP-2009-030

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