Optimal burn-in time and eventually IFR

被引：5

作者：

Mi, Jie ^{[1
]}

机构：

[1] Department of Statistics, Florida International University, Miami, FL

来源：

| 2003年 / Chinese Institute of Industrial Engineers卷 / 20期

关键词：

Bathtub shaped failure rate; Burn-in; Eventually IFR; Maintenance policy; Mean residual life; Repair policy; Warranty policy;

D O I：

10.1080/10170660309509258

中图分类号：

学科分类号：

摘要：

Burn-in is a widely used technique for improving the quality of products after they have been produced. The quality of product can be measured by certain reliability characteristics such as survival probability, mean residual life, etc. In some situations, optimal burn-in need to be determined to maximize these reliability characteristics. However, burn-in is costly, and thus cost structure should be considered. Therefore, optimal burn-in time should also be determined to minimize certain cost functions. In the literature, assuming the failure rate function of the products has a bathtub shape it has been shown that the optimal burn-in time should not exceed the first change point of the failure rate function. Instead of bathtub shaped failure rate function, this paper considers the more general eventually IFR and has found that the optimal burn-in time for the objective functions studied in the literature should not exceed the first wear-out point of the eventually IFR. © 2003 Taylor & Francis Group, LLC.

引用

页码：533 / 543

页数：10

共 21 条

[1] Barlow R.E., Proschan F., Mathematical Theory of Reliability, (1965)
[2] Bergman B., On Reliability Theory and its Applications, Scand. J. Statist, 12, pp. 1-41, (1985)
[3] Bergman B., Burn-in Models and TTT Transforms, Quality and Reliability International, 1, pp. 125-130, (1985)
[4] Block H.W., Jong Y.K., Savits T.H., Bathtub Functions and Burn-in, Probability in the Engineering and Informational Sciences, 13, pp. 497-507, (1999)
[5] Block H.W., Mi J., Savits T.H., Encyclopedia of Electrical and Electronics Engineering, 2, pp. 618-624, (1999)
[6] Cha J.H., On a Better Burn-in Procedure, J. Appl. Prob., 37, pp. 1099-1103, (2000)
[7] Cha J.H., Burn-in Procedure for a Generalized Model, J. Appl. Prob., 38, pp. 542-553, (2001)
[8] Chi D.H., Kuo W., Burn-in Optimization under Reliability and Capacity Restrictions, IEEE Trans. Reliability, 38, pp. 193-198, (1989)
[9] Chou K., Tang K., Burn-in Time and Estimation of Change-Point with Weibull-Exponential Mixture Distribution, Decision Science, 23, pp. 973-990, (1992)
[10] Clarotti C.A., Spizzichino F., Bayes Burn-in Decision Procedures, Probability in the Engineering and Informational Sciences, 4, pp. 437-445, (1990)

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