Statistical Design of Experiments
Statistical Design of Experiments
Signal-to-Noise Definitions
Signal-to-Noise Definitions
Signal-to-Noise Analysis measures
Signal-to-Noise Analysis measures
variation within treatment
variation within treatment
combinations when noise is present.
combinations when noise is present.
Signal-to-Noise Analysis transforms all
Signal-to-Noise Analysis transforms all
treatment combination repetition data
treatment combination repetition data
to one value which is the measure of
to one value which is the measure of
variation present.
variation present.
Noise causes response variable results
Noise causes response variable results
to not be repeatable within a treatment
to not be repeatable within a treatment
combination.
combination.
Look at the repeatability within a
Look at the repeatability within a
treatment combination to
treatment combination to
determine the Signal-to-Noise
determine the Signal-to-Noise
-to-Noise
to-Noise
-Noise
Noise
Ratio.
Ratio.
S/N =
S/N =
Power of the Signal
Power of the Signal
Power of the noise
Power of the noise
Desire the power of the
Desire the power of the
signal to be great over
signal to be great over
the power of the noise
the power of the noise
The higher the S/N Ratio, the more the
The higher the S/N Ratio, the more the
system is robust (insensitive) to noise.
system is robust (insensitive) to noise.
Taguchi uses Design of Experiments to
Taguchi uses Design of Experiments to
determine where noise is affecting
determine where noise is affecting
response variable repeatability within a
response variable repeatability within a
treatment combination so that input
treatment combination so that input
factors can be optimized to decrease the
factors can be optimized to decrease the
uncontrollable noise effects.
uncontrollable noise effects.
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