Method evidence record

Multi-response Taguchi method

The multi-response Taguchi method extends Taguchi’s robust parameter design to situations where several quality characteristics must be optimized simultaneously. Instead of minimizing a single signal-to-noise ratio, practitioners aggregate multiple S/N ratios or raw response values into a composite index — most commonly via grey relational analysis or desirability functions — then apply standard Taguchi analysis to identify the factor-level combination that satisfies all responses jointly.

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Multi-response Taguchi Parameter Design

Taxonomic method record · process-pipeline / experimental-design

Phadke, M. S. (1989). Quality Engineering Using Robust Design. Prentice Hall. · ISBN 978-0137451678
Deng, J. L. (1989). Introduction to grey system theory. The Journal of Grey System, 1(1), 1–24. · URL

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Taxonomic bucketDesign of experimentsmachine-suggested · Relational suggestion, not evidence.Taxonomic bucketMulti-response Response Surface Methodologymachine-suggested · Relational suggestion, not evidence.Used in the same domainResponse Surface Methodologymachine-suggested · Relational suggestion, not evidence.