STRATEGIES FOR ROBUST MULTIRESPONSE QUALITY ENGINEERING
- 1 May 1993
- journal article
- research article
- Published by Taylor & Francis in IIE Transactions
- Vol. 25 (3) , 5-15
- https://doi.org/10.1080/07408179308964286
Abstract
Virtually every manufactured product has more than one characteristic by which its overall quality is determined. Since those quality characteristics may be correlated, some changes in the levels of the controllable product design and process design variables may improve one of the quality characteristics while adversely affecting one or more of the other quality characteristics. In this paper we define a quadratic loss function for use with multiple quality characteristics. We discuss several strategies that could be employed for robust quality engineering of products and processes when there is more than one quality characteristic of interest.Keywords
This publication has 17 references indexed in Scilit:
- Taguchi's Parameter Design: A Panel DiscussionTechnometrics, 1992
- TOP TEN TRIUMPHS AND TRAGEDIES OF GENICHI TAGUCHIQuality Engineering, 1991
- Quick and Easy Analysis of Unreplicated FactorialsTechnometrics, 1989
- LET'S ALL BEWARE THE LATIN SQUAREQuality Engineering, 1989
- An Overview of the Strategy and Tactics of TaguchiIIE Transactions, 1988
- Characterizing and optimizing multi‐response processes by the taguchi methodQuality and Reliability Engineering International, 1988
- [Signal-to-Noise Ratios, Performance Criteria, and Transformations]: DiscussionTechnometrics, 1988
- [Performance Measures Independent of Adjustment]: DiscussionTechnometrics, 1987
- Simultaneous Optimization of Multiple Responses Represented by Polynomial Regression FunctionsTechnometrics, 1981
- A Response Surface Method for Experimental Optimization of Multi-Response ProcessesIndustrial & Engineering Chemistry Process Design and Development, 1975