The Relationship Between Cp/Cpk and Sigma Level
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 This topic has 7 replies, 5 voices, and was last updated 1 day, 2 hours ago by Robert Butler.

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November 21, 2020 at 1:32 pm #250984
ahamumtazParticipant@ahamumtaz Include @ahamumtaz in your post and this person will
be notified via email.What if I got Cp/Cpk value is less than zero. but when I calculate level sigma, I got 3.5, is it possible?
and what the relation between Cp/Cpk and Level sigma?
0November 21, 2020 at 4:48 pm #250986
Robert ButlerParticipant@rbutler Include @rbutler in your post and this person will
be notified via email.Cpk = minimum (USLmean, mean – LSL)/(3*std)
Therefore, in order for Cpk to be negative your mean will have to either be less than the LSL or greater than the USL.
Sigma = minimum (USLmean, mean – LSL)/std
Therefore, if the mean is greater than USL then (USL – mean) will be the smaller value and it will be negative which means Sigma will be negative.
If the mean is less than the LSL then the minimum value will be (mean – LSL) which will also be negative which means your Sigma will be negative once again.
Thus, the results that give you a negative Cpk cannot result in a positive Sigma
1November 22, 2020 at 8:05 pm #250988Thanks for explaining this. It was very useful. https://solarpanelcostprice.com.au/3kwsolarpowersystem/
0November 25, 2020 at 10:54 am #251029
Chris SeiderParticipant@cseider Include @cseider in your post and this person will
be notified via email.Look at the total ppm defective. Translate between Cpk and sigma level…for that one side of the curve.
0November 26, 2020 at 9:48 am #251045
MBBinWIParticipant@MBBinWI Include @MBBinWI in your post and this person will
be notified via email.@ahamumtaz – You should go back and research the definitions of Cp, Cpk and Sigma that were provided to you. You should find some verbiage that states something like: Cp is “potential” capability, whereas Cpk is “actual” or “observed” capability. The difference being the location of the distribution in relation to the target and upper/lower boundaries of acceptance. You cannot have a negative Cp, since that definition does not include the location issue (using absolute values). If you use Cp as your measure for Sigma, then you could have the scenario you describe – but this would be wrong.
0November 30, 2020 at 8:39 am #251107
Robert TiptonParticipant@[email protected] Include @[email protected] in your post and this person will
be notified via email.Hello –
If you have a negative CPk, it means you have at least 50% Failures, assuming the formula is correct.
The lower the negative CPk, the more Percent failures.
As an Example; Negative 1 CPk would be about 99.7% Failures, to the Specification
Then look at the CP Value. If CP is positive, you probably only need to adjust the mean (XBar), to center the process.
It is possible to have a negative CPk, with a positive sigma (Std. Dev.) as the Std. Dev. will always be a positive number.
The CPk value is the Real Calculated Value
The CP Value is a Theoretical Value, Assuming the Process is perfectly centered around the Nominal Dimension.
Hope this helps
0November 30, 2020 at 8:40 am #251108
Robert TiptonParticipant@[email protected] Include @[email protected] in your post and this person will
be notified via email.Sigma is the Standard Deviation, not the formula you indicated
0November 30, 2020 at 10:38 am #251109
Robert ButlerParticipant@rbutler Include @rbutler in your post and this person will
be notified via email.@[email protected] – One of my pet gripes is the fact that when the folks were developing their terminology for six sigma the took the word “sigma” and applied it to the calculation indicated in my first post. That formula is the formula for the sigma level which has nothing to do with the sigma of standard deviation fame. Unfortunately, a number of programs and a lot of verbiage, both posted and published in the professional journals, insist on shortening the term “sigma level” to just “sigma.”
With regard to this confusion – on the less than worrisome end are posts like our exchange – what can really get interesting is when someone makes a statement about sigma being negative (what they mean is the sigma level is negative) and when someone else, who knows that sigma (as in standard deviation) is the square root of the variance, jumps in and calls the first poster an idiot for trying to claim a negative value for a square root….and so it goes
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