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.