Please use this identifier to cite or link to this item: https://doi.org/10.1007/s10479-013-1419-z
Title: Bi-objective burn-in modeling and optimization
Authors: Ye, Z.-S.
Tang, L.-C. 
Xie, M. 
Keywords: Cost-based burn-in
Pareto frontier
Performance-based burn-in
Issue Date: Jan-2014
Citation: Ye, Z.-S., Tang, L.-C., Xie, M. (2014-01). Bi-objective burn-in modeling and optimization. Annals of Operations Research 212 (1) : 201-214. ScholarBank@NUS Repository. https://doi.org/10.1007/s10479-013-1419-z
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.
Source Title: Annals of Operations Research
URI: http://scholarbank.nus.edu.sg/handle/10635/87000
ISSN: 02545330
DOI: 10.1007/s10479-013-1419-z
Appears in Collections:Staff Publications

Show full item record
Files in This Item:
There are no files associated with this item.

SCOPUSTM   
Citations

4
checked on Aug 18, 2018

WEB OF SCIENCETM
Citations

4
checked on Jul 16, 2018

Page view(s)

114
checked on Aug 17, 2018

Google ScholarTM

Check

Altmetric


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.