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Optimal burn-in for minimally repaired components from n subpopulations

Author

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  • Xiaoliang Ling
  • Ruijie Yin
  • Liying Wang

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.

Suggested Citation

  • Xiaoliang Ling & Ruijie Yin & Liying Wang, 2025. "Optimal burn-in for minimally repaired components from n subpopulations," Journal of Risk and Reliability, , vol. 239(1), pages 31-40, February.
    • Handle: RePEc:sae:risrel:v:239:y:2025:i:1:p:31-40
    DOI: 10.1177/1748006X231223280
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    References listed on IDEAS

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    1. Ye, Zhi-Sheng & Shen, Yan & Xie, Min, 2012. "Degradation-based burn-in with preventive maintenance," European Journal of Operational Research, Elsevier, vol. 221(2), pages 360-367.
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    4. Kim, Kyungmee O. & Kuo, Way, 2009. "Optimal burn-in for maximizing reliability of repairable non-series systems," European Journal of Operational Research, Elsevier, vol. 193(1), pages 140-151, February.
    5. Yisha Xiang & David Coit & Qianmei Feng, 2013. "Subpopulations experiencing stochastic degradation: reliability modeling, burn-in, and preventive replacement optimization," IISE Transactions, Taylor & Francis Journals, vol. 45(4), pages 391-408.
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