The Taguchi Design Approach
The Taguchi method defines two types of factors: control factors and noise factors. An inner design constructed over the control factors finds optimum settings. An outer design over the noise factors looks at how the response behaves for a wide range of noise conditions. The experiment is performed on all combinations of the inner and outer design runs. A performance statistic is calculated across the outer runs for each inner run. This becomes the response for a fit across the inner design runs. Table 17.1 lists the recommended performance statistics.
 
Table 17.1 Recommended Performance Statistics
Goal
S/N Ratio Formula
nominal is best
larger-is-better (maximize)
smaller-is-better (minimize) ...

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