Please use this identifier to cite or link to this item: http://scholarbank.nus.edu.sg/handle/10635/62983
Title: A unified approach for dual response surface optimization
Authors: Tang, L.C. 
Xu, K. 
Keywords: Dual response system
Optimization
Response surface methodology
Issue Date: Oct-2002
Source: Tang, L.C.,Xu, K. (2002-10). A unified approach for dual response surface optimization. Journal of Quality Technology 34 (4) : 437-447. ScholarBank@NUS Repository.
Abstract: The optimization of dual response systems in order to achieve better quality has been an important problem in the robust design of industrial products and processes. In this paper, we propose a goal programming approach to optimize a dual response system. The formulation is general enough to include some of the existing methods as special cases. For purposes of illustration and comparison, the proposed approach is applied to two examples. We show that by tuning the weights assigned to the respective targets for the mean and standard deviation, past results can easily be replicated using Excel Solver, the use of which further enhances the practical appeal of our formulation.
Source Title: Journal of Quality Technology
URI: http://scholarbank.nus.edu.sg/handle/10635/62983
ISSN: 00224065
Appears in Collections:Staff Publications

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

Page view(s)

32
checked on Dec 7, 2017

Google ScholarTM

Check


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