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Taguchi proposed using 'Signal to Noise' ratios to optimize processes. The Signal to Noise Ratio is a key idea in Taguchi experimental design. The concept behind the signal to noise ratio is explained in the Taguchi Loss Function.
The conventional approach to experimental design tries to maximize the performance to target. The Taguchi approach takes the view that it might be preferable to have a robust process that gives consistently good results than one that gives theoretically better results but, because of process variation, gives worse results on average in practice.
The signal to noise ratios are:
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Minimize the Response
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Maximize the Response
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Achieve a Target
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