Burn-in for Eliminating Weak Items in Heterogeneous Populations

作者：Cha Ji Hwan^*; Finkelstein Maxim

来源：Communications in Statistics - Theory and Methods, 2014, 43(24): 5115-5129.

DOI：10.1080/03610926.2012.744054

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

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 %26quot;simulated operation%26quot; 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.

• 出版日期2014