Please use this identifier to cite or link to this item:
Title: A multiple objective framework for planning accelerated life tests
Authors: Tang, L.-C. 
Xu, K. 
Keywords: Goal programming
Multiple objective optimization
Planning accelerated testing
Issue Date: Mar-2005
Citation: Tang, L.-C., Xu, K. (2005-03). A multiple objective framework for planning accelerated life tests. IEEE Transactions on Reliability 54 (1) : 58-63. ScholarBank@NUS Repository.
Abstract: We consider a framework with two conflicting objectives in the planning of ALT;i.e., meeting a desired level of statictical precision for an estimate of interest, and meeting a cost target for conducting the test. This can easily be generalized to multiple objectives with, say, precision targets for various estimates, stress limits constraint, sample size constraint, etc. In the absence of actual cost, the cost of conducting the test is related to the total test time at different stress levels, and the total sample size needed for the test. The framework is applied to planning of constant stress ALT, in which the logarithm of the lifetime follows the extreme value distribution. The proposed fremework consistently leads to more cost-effective test plans without compromising the precision of the estimate, and is equally robust to misspecification of initial estimates, compared with other test plans presented in the literature. © 2005 IEEE.
Source Title: IEEE Transactions on Reliability
ISSN: 00189529
DOI: 10.1109/TR.2004.841731
Appears in Collections:Staff Publications

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


checked on Oct 27, 2021


checked on Oct 27, 2021

Page view(s)

checked on Oct 14, 2021

Google ScholarTM



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