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What are Pooled Factors (Taguchi Optimization)?

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  • #31782

    Wally
    Member

    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.

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    #84187

    Manee
    Participant

     
    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.
    Manee

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    #84191

    Erik L
    Participant

    Wally,
    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,
    Erik

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