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The Taguchi parameter design in industry is an approach to reducing performance variation of quality characteristic in products and processes. In the Taguchi parameter design, the product array approach using orthogonal arrays is mainly used. It often requires an excessive number of experiments. An alternative approach, which is called the combined array approach, was studied. In these studies, only single response was considered. In this paper we propose how to simultaneously optimize multiresponse for the robust design using the combined array approach.
목차
Abstract
1. Introduction
2. Simultaneous Optimization of Multiresponse
2.1. Multivariate Linear Model
2.2 Estimated Mean and Variance Models in a Multiresponse
2.3. The Proposed DM measure about the estimated mean responses
2.4. The Proposed DV Measure About the Estimated Variance Responses
2.5. The Proposed Simultaneous-Optimization Pm Measure
3. Numerical Example
4. Conclusion
Acknowledgments
References
1. Introduction
2. Simultaneous Optimization of Multiresponse
2.1. Multivariate Linear Model
2.2 Estimated Mean and Variance Models in a Multiresponse
2.3. The Proposed DM measure about the estimated mean responses
2.4. The Proposed DV Measure About the Estimated Variance Responses
2.5. The Proposed Simultaneous-Optimization Pm Measure
3. Numerical Example
4. Conclusion
Acknowledgments
References
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