Satisfactory Parameter Design Approach based on Confidence Interval for Multivariate Quality Characteristics
Abstract
A satisfactory parameter design approach based on confidence interval is proposed to solve the model uncertainty problem of multivariate quality characteristics. The response models of mean and standard deviation are built by using the dual response surface method, and then their confidence interval expressions are obtained. The satisfactory sets which make each quality characteristic satisfies the respective constraint are defined based on the confidence intervals, and the constraint relaxed strategy is then designed. The consistency set that satisfies all constraints is obtained through consistency analysis. A numerical example shows that the proposed method can reduce the effect of model uncertainty and the satisfactory parameter is more reliable than the robust parameter which is obtained through the current method.
Recommended Citation
X. G. Gu et al., "Satisfactory Parameter Design Approach based on Confidence Interval for Multivariate Quality Characteristics," Xi Tong Gong Cheng Yu Dian Zi Ji Shu Systems Engineering and Electronics, vol. 37, no. 11, pp. 2536 - 2545, Chinese Institue of Electronics, Nov 2015.
The definitive version is available at https://doi.org/10.3969/j.issn.1001-506X.2015.11.18
Department(s)
Electrical and Computer Engineering
Keywords and Phrases
Confidence interval; Model uncertainty; Multivariate quality characteristics; Satisfactory parameter design
International Standard Serial Number (ISSN)
1001-506X
Document Type
Article - Journal
Document Version
Citation
File Type
text
Language(s)
English
Rights
© 2025 Chinese Institute of Electronics, All rights reserved.
Publication Date
01 Nov 2015
