원문정보
초록
영어
Robust design is an approach to reducing performance variation of quality characteristic values in quality engineering. Product array approach which is used in the Taguchi parameter design has a number of advantages by considering the noise factor. Taguchi has an idea that mean and variation are handled simultaneously to reduce the expected loss in products and processes. Taguchi has used the signal-to-noise ratio (SN) to achieve the appropriate set of operating conditions where variability around target is low in the Taguchi parameter design. Many Statisticians criticize the Taguchi techniques of analysis, particularly those based on the SN. In this paper we propose a substantially simpler optimization procedure for robust design using desirability function without resorting to SN.
목차
1. Introduction
2. Estimated Mean and Variance Models in a Product Array
3. Desirability Function of the Mean and Variance Models
3.1. Desirability Function of the Mean Models
3.2. Desirability Function of the Standard Deviation Model
4. The Optimization Method for Robust Design in the Product Array
5. Numerical Example
6. Conclusion
Acknowledgments
References