# H,M,L (9,3,1) QFD weighting question

Six Sigma – iSixSigma Forums Old Forums General H,M,L (9,3,1) QFD weighting question

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• #31587

lin
Participant

Can someone quickly give me a heads up on the logic of the weighting used in the QFD.  Why is 9,3,1 used for High, Medium, Low respectively instead of…say…3, 2, 1 or something else?

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#83363

Charles H
Participant

They are done this way so that the high priority items drive the weighting and makes it easier to differentiate the low and medium from high priority CTQs.

Charles H.

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#83389

lin
Participant

I understand why there are different wieghts, but why specifically 9,3,1 rather than 3,2,1 or 6,3,1?
Any significance for using 9,3,1 rather than a different combination?

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#83390

Never Mind
Participant

It seems as if the guy who invented this liked each level to be 3 times more important than the previos level. However, if you think that other weighting is more appropiate for your case, I doubt that anybody will question that. Like with the FMEA, I don’t think there is a scientific basis behind the numbers.

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#83446

Charles H
Participant

Let me try it this way.
Say you use the 1 (low), 2 (moderate), 3 (high) relationship weighting scale.  One CTQ on the QFD matrix has 12 low relationships identified, so it gets a score of 12 (12 x 1 = 12).  Another CTQ has two high and one moderate relationship, getting a score of 8 (2 x 3 + 2 = 8).  In this case, one would more likely pay attention to the CTQ with a score of 12 and may neglect the lower scoring CTQ, though it may be of much greater importance to the customer, overall.
Using the 1, 3, 9 system, the scores would be 12 (12 x 1 = 12) and 21 (2 x 9 + 3 = 21), respectively, thus giving the CTQ that is of a higher importance to the customer a more appropriate weighting in the QFD matrix.  Like I said, it helps to more dramatically differentiate the highs from the lows.

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#83477

John Noguera
Participant

Hi Chuck!

By the way I did some interesting simulation studies on the difference between multiplicative (ie FMEA) vs additive.  The rank results match closely at the high and low end but vary widely in the middle.

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#83494

Charles H.
Participant

>By the way I did some interesting simulation studies on the difference between multiplicative (ie FMEA) vs additive.  The rank results match closely at the high and low end but vary widely in the middle. <
Hi John – how goes it?  I’d like to see the study you did, when you get a chance.  You can send it to my email, or post it here if you think it would be of general interest.
Take care, amigo
Charles H.

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#98312

Edmund Sarpong
Participant

For the QFD Problem 1 Matrix, compute the
a) Customer requirements absolute weight.
b) Technical requirements absolute weight and factor
c) Technical requirements relative weight and factor
d) Which design and technical factors should be emphasized? Why?

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#98313

Isabel
Participant

Can someone recommend which software to use for QFD, that is not very expensive, user friendly, and that could be downloaded for a trial period?
Thanks

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#98371

John J. McDonough
Participant

Isabel
QFD matrices are often quite large and not easily seen on one screen.  QFD sessions are generally held in a large group.  As a result, a good old large sheet of paper is often better than the software.
For years I have done QFD with Excel (nasty), though recently I’ve run across two programs.  One was amazingly clumsy to use and the other breathtakingly expensive.
This has prompted me to write something, but it still needs quite a bit of polish before it is ready for prime time.  My intent is for this to be free software.  I have used it on one project and it was pretty helpful compared to struggling with Excel.
If you would like to try it out, send me your email address.  Keep in mind, though, that it really isn’t ready for prime time.  Still, it’s fast and relatively easy to use.  And, the price is right.
I’m being a little selfish here – I wouldn’t mind someone else’s coments!
–McD
[email protected]

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