TY - JOUR
T1 - Burn-in and the performance quality measures in heterogeneous populations
AU - Cha, Ji Hwan
AU - Finkelstein, Maxim
N1 - Funding Information:
The work of the first author was supported by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2009-0093827 ). The work of the second author was supported by the NRF (National Research Foundation of South Africa) grant FA2006040700002 .
PY - 2011/4/16
Y1 - 2011/4/16
N2 - 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.
AB - 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.
KW - Burn-in
KW - Heterogeneous population
KW - Performance quality measures
KW - Reliability
KW - Stochastically ordered subpopulations
UR - http://www.scopus.com/inward/record.url?scp=78650416758&partnerID=8YFLogxK
U2 - 10.1016/j.ejor.2010.09.019
DO - 10.1016/j.ejor.2010.09.019
M3 - Article
AN - SCOPUS:78650416758
SN - 0377-2217
VL - 210
SP - 273
EP - 280
JO - European Journal of Operational Research
JF - European Journal of Operational Research
IS - 2
ER -