Abstract Environmental stress screening (ESS) is widely used in industry to eliminate early or latent failures. However, the appropriate stochastic modeling for ESS has not been yet suggested in the literature. In this paper, we develop the corresponding stochastic model and analyze the effect of the ESS in terms of population characteristics. In our model, during the ESS, the manufactured items are exposed to a stress with the relatively large magnitude, which can result either in immediate failures of items or in the increased susceptibility to future failures. The corresponding optimization problems for obtaining the optimal level of the stress magnitude are also formulated and discussed. An illustrative example is considered.
Bibliographical noteFunding Information:
The authors thank the referees and the Associate Editor for helpful comments and suggestions. This work was supported by the National Research Foundation of Korea (NRF) grant funded by the Korea Government (MEST) (no. 2011-0017338 ). The work of the first author was also supported by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology ( 2009-0093827 ). The work of the second author was supported by the NRF (National Research Foundation of South Africa) grant IFR2011040500026 .
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- Environmental stress screening
- Failure mode
- Severity of stress
- Shock model
- Wear model