Burn-In Models and Methods: A Review
- 1 June 1990
- journal article
- review article
- Published by Taylor & Francis in IIE Transactions
- Vol. 22 (2) , 172-180
- https://doi.org/10.1080/07408179008964170
Abstract
Burn-in is a technique used to increase the quality of components and systems delivered to a consumer by using the item under normal or accelerated environmental conditions prior to shipment. If a burn-in procedure is effective, items that are delivered to the consumer are superior to those that would have been delivered without burn-in. The measure by which items are judged to be superior is defined by the objective of the burn-in procedure (e.g., maximum mean residual life or maximum probability of mission success after burn-in). This paper reviews the burn-in literature which considers different aspects of the problem, but lacks a structure that relates them to one another.Keywords
This publication has 41 references indexed in Scilit:
- Bayes sequehmal procedufe for estimation and for detetmination of burn in time in a hazard rate model with an unknown change point parameterSequential Analysis, 1987
- Maximum Likelihood Estimation for Two-Parameter Decreasing Hazard Rate Distributions Using Censored DataJournal of the American Statistical Association, 1983
- Selecting among weibull, lognormal and gamma distributions using complete and censored smaplesNaval Research Logistics Quarterly, 1982
- Reliability growth of repairable systemsNaval Research Logistics Quarterly, 1980
- Why Consider Screening, Burn-In, and 100-Percent Testing for Commercial Devices?IEEE Transactions on Manufacturing Technology, 1976
- Some Distributions of Time to Failure for Reliability ApplicationsTechnometrics, 1975
- A Sequential Screening ProcedureTechnometrics, 1974
- Statistical Estimation Procedures for the "Burn-In" ProcessTechnometrics, 1968
- An Investigation of the Burn-In ProblemTechnometrics, 1966
- On the Possibility of Improving the Mean Useful Life of Items by Eliminating Those with Short LivesTechnometrics, 1961