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Six Sigma Tools .. Taguchi Loss fn.

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  • #51651

    Anonymous
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    I hate the term Six Sigma Tools ..But it can be used to describe what the majority of people use on a regular basis. (Note I mean use – as opposed to teach.)My question is: Do you consider Taguchi’s Loss function a Six Sigma Tool.If it is – does anyone actually use it?If you do – how do you overcome the difficulties described in several articles – very high Losses, well beyond warranty and replacement costs for large deviation.Does anyone use Wheeler’s combination of Taguchi inside tolerances and flat outside?Does anyone use the Inverse Normal Loss function.Any thoughts …

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    #179593

    Taguchi
    Member

    Yes

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    #179613

    Trevor
    Member

    Andy -My question is: Do you consider Taguchi’s Loss function a Six Sigma Tool.NoIf it is – does anyone actually use it?No – too complicatedIf you do – how do you overcome the difficulties described in several articles – very high Losses, well beyond warranty and replacement costs for large deviation.NADoes anyone use Wheeler’s combination of Taguchi inside tolerances and flat outside?NoDoes anyone use the Inverse Normal Loss function.No

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    #179768

    ROSS
    Member

    During 6 sigma training, I present the concepts of Taguchi’s loss function to stress that, although inevitable, any variation is bad and has some resulting effect on customer satifaction and therefore cost of poor quality. The message is “never stop reducing variation if it is still possible within obvious commercial constraints”
    I agree with trevor – application of all you have mentioned is too complex for all but very sophisticated environments and I would focus on the concepts and principles in an attempt to gain some incremental benefits.

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    #179769

    Anonymous
    Guest

    Thanks Tony …I don’t think the Taguchi Loss function can be regarded as ‘Six Sigma Tool’ even though many people cover it in classed, which is surprising because SS seems to be a great PACMAN, gobbles up all and sundry, such as QFD, etc. Dr. Whatisname must be a really clever man :-)As for the Inverted Normal Loss Function, INLF, and the Revised Inverted Normal Loss Function,RINLF, most of the interest seems to be in Chinese and Japanese, which rather surprised me.Cheers,
    Andy

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