Bi-objective burn-in modeling and optimization

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

5 Scopus Citations
View graph of relations

Author(s)

Detail(s)

Original languageEnglish
Pages (from-to)201-214
Journal / PublicationAnnals of Operations Research
Volume212
Issue number1
Publication statusPublished - Jan 2014

Abstract

This study develops a bi-objective method for burn-in decision makings with a view to achieving an optimal trade-off between the cost and the performance measures. Under the proposed method, a manufacturer specifies the relative importance between the cost and the performance measures. Then a single-objective optimal solution can be obtained through optimizing the weighted combination of these two measures. Based on this method, we build a specific model when the performance objective is the survival probability given a mission time. We prove that the optimal burn-in duration is decreasing in the weight assigned to the normalized cost. Then, we develop an algorithm to populate the Pareto frontier in case the manufacturer has no idea about the relative weight. © 2013 Springer Science+Business Media New York.

Research Area(s)

  • Cost-based burn-in, Pareto frontier, Performance-based burn-in

Citation Format(s)

Bi-objective burn-in modeling and optimization. / Ye, Zhi-Sheng; Tang, Loon-Ching; Xie, Min.

In: Annals of Operations Research, Vol. 212, No. 1, 01.2014, p. 201-214.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review