Article1995

Dual Response Surface Optimization

392 citations0/0 files storedJournal of Quality Technology

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Optimal Experimental Design Methods Simulation Techniques and Applications Advanced Multi-Objective Optimization Algorithms

Abstract

Vining and Myers adapted the dual response approach to achieve the goals of Taguchi's philosophy. This excellent approach contains some deficiencies that will be highlighted in this paper. A more satisfactory and substantially simpler optimization procedure on a dual response approach is proposed that allows more general response models to be entertained in reality. The new method is demonstrated using the example given in Vining and Myers in which it leads to a solution with 25% smaller mean square error.

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References

1988Empirical Model Building and Response Surfaces 1951On the Experimental Attainment of Optimum Conditions 1992On the Experimental Attainment of Optimum Conditions 1988Empirical Model-Building and Response Surfaces.1990Combining Taguchi and Response Surface Philosophies: A Dual Response Approach

Cited by

1999Response Surface Methodology—Current Status and Future Directions 2003Robust Parameter Design: A Review 1998Dual Response Surface Optimization: A Fuzzy Modeling Approach 1996Dual Response Optimization via Direct Function Minimization 2005Multiresponse robust design: Mean square error (MSE) criterion 1997Response surface methodology: A neural network approach 2000Optimization Problems and Methods in Quality Control and Improvement 2004A review of robust design methods for multiple responses

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