| 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:
Minimize
the Response |
Maximize
the Response |
Achieve
a Target |
|
|
|
|