Optimal burn-in for minimally repaired components from n subpopulations

Xiaoliang Ling, Ruijie Yin and Liying Wang

Journal of Risk and Reliability, 2025, vol. 239, issue 1, 31-40

Abstract: Burn-in is a widely used technique to screen out defective components before they are put into field operation. In this paper, we propose a burn-in policy for the components from a heterogeneous population composed of n ordered subpopulations. Assume that components can be minimally repaired when the failure occurs. We consider the total number of minimal repairs observed during burn-in process as a screening rule to remove defective components with poor reliability performance. First, we carry out the probabilistic analysis of the screening policy to show the effectiveness of burn-in. Second, we obtain the optimal burn-in settings which minimize the mean total cost or maximize the probability of passing the mission period. Finally, we give an example to illustrate the proposed model.

Keywords: Burn-in policy; heterogeneous population; minimal repair; mission period; probabilistic analysis (search for similar items in EconPapers)
Date: 2025
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Persistent link: https://EconPapers.repec.org/RePEc:sae:risrel:v:239:y:2025:i:1:p:31-40

DOI: 10.1177/1748006X231223280

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