Process / pipelineEngineering methods
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.
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Sources
- 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