In practice, the reliability performance of items in operation strongly depends on the operational history or the working environment. Thus, most often, the population stochastically evolves depending on it rather than being static. For example, the failure and repair history strongly affects the future reliability performance of the item in operation. In this case, even though the population of items initially starts from a homogeneous one, it gradually evolves to a heterogeneous one. Until now, most studies on burn-in have been performed assuming that the population is static. In this paper, a new generalized burn-in procedure for items in stochastically evolving population is developed and its stochastic properties are analyzed. Based on the obtained theoretical results, the optimal burn-in procedure which balances two criteria is studied.
Bibliographical noteFunding Information:
The authors would like to thank the Editor and referees for careful reading and valuable comments. This work was supported by Priority Research Centers Program through the National Research Foundation of Korea (NRF) funded by the Ministry of Education, Science and Technology (no. 2009-0093827 ).
© 2016 Elsevier Inc.
- Dependent increment property
- Operational history
- Optimal burn-in
- Stochastic intensity
- Stochastically evolving population