Sensitivity Analysis-integrated Taguchi Method
The sensitivity analysis-integrated Taguchi method augments the classical Taguchi robust design workflow with a systematic sensitivity analysis step that quantifies how much each control factor and noise factor contributes to response variability. By combining Taguchi orthogonal arrays with variance-based or ANOVA-based sensitivity indices, engineers can both optimize process settings and rank factors by their influence on output uncertainty, yielding more transparent and defensible engineering decisions.
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 (Vols. 1–2). UNIPUB/Kraus International Publications. · ISBN 978-0527916213
- Saltelli, A., Tarantola, S., Campolongo, F., & Ratto, M. (2004). Sensitivity Analysis in Practice: A Guide to Assessing Scientific Models. Wiley. · ISBN 978-0470870938
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