Optimal Burn-in for n-Subpopulations with Stochastic Degradation
Often within any population of components there are strong and weak subpopulations, most notably in advanced electronic products. Burn-in test is often used to eliminate the early failures and reduce the warranty cost for those devices. This paper considers a burn-in process for a degradation-based heterogeneous population. An optimization model is formulated to achieve the optimal burn-in time. Numerical examples are provided to demonstrate the effectiveness of the burn-in process.
burn-in heterogeneous population Brownian motion with drift
Yisha XIANG David W. COIT Qianmei FENG
Department of Management Science School of Business Sun Yat-Sen University Guangzhou, China Industri Industrial and Systems Engineering Department Rutgers University Piscataway, USA Department of Industrial Engineering University of Houston Houston, USA
国际会议
西安
英文
154-158
2011-06-17(万方平台首次上网日期,不代表论文的发表时间)