Hybrid Taguchi Method
The Hybrid Taguchi Method combines Taguchi's orthogonal array experimental design and signal-to-noise ratio analysis with a secondary optimization or analysis technique — such as grey relational analysis, response surface methodology, artificial neural networks, or fuzzy logic — to handle multiple response variables or complex nonlinear relationships that classical Taguchi alone cannot resolve efficiently. It is widely used in manufacturing, materials engineering, and process optimization.
Source record
Citations copied verbatim from the method’s source record. No claim-level verification is inferred from them.
- Taguchi, G. (1987). System of Experimental Design: Engineering Methods to Optimize Quality and Minimize Costs. UNIPUB/Kraus International Publications. · ISBN 978-0527916213
- Lin, C. L. (2004). Use of the Taguchi method and grey relational analysis to optimize turning operations with multiple performance characteristics. Materials and Manufacturing Processes, 19(2), 209–220. · DOI 10.1081/AMP-120029852
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