Six Sigma Tools .. Taguchi Loss fn.
- This topic has 4 replies, 3 voices, and was last updated 12 years, 10 months ago by Anonymous.
January 12, 2009 at 7:53 am #51651
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 …0January 12, 2009 at 9:32 am #179593
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Yes0January 12, 2009 at 4:30 pm #179613
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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.No0January 15, 2009 at 2:24 pm #179768
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.0January 15, 2009 at 3:02 pm #179769
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,
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