What are Pooled Factors (Taguchi Optimization)?
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- This topic has 2 replies, 3 voices, and was last updated 19 years, 4 months ago by
Erik L.
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March 25, 2003 at 6:58 am #31782
Has anyone come across this Pooled factors for Taguchi DOE?
Say, with 6 control factors, during optimization, 2 were ‘Pooled’. Appreciate if anyone can provide an explanation and some math if it’s not too complicated.
Thanks in advance.
Wally.0March 26, 2003 at 3:29 pm #84187
The pooled factors are used to estimate error variance.
Degrees of freedom for total sum of squares = sum of degrees of freedom for the various factors + degrees of freedom for the error.
Some factors do not have large effect on experiment. Therefore those factors are pooled together and considered as error vaiance.
I hope this helps.
Manee0March 26, 2003 at 6:26 pm #84191Wally,
I’d tread lightly regarding Taguchi methods of experimentation. It has been shown in numerous periodicals and statistical texts that there are some fundamental flaws in this method of experimentation. One of the major issues revolves around the methodologies lack of power in being able to accuratelt detect and predict the factors that impact both the y=f(x) and s=g(x).
If you have a choice use the factorial approach to experimentation. If a primary reason for interest is the use of the inner and outer array, then look to the use of “chunk variables” to set several noise and/or environmental settings at appropriate high and low levels. Good luck with your analysis.
Regards,
Erik0 -
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