# Competently Use Capability Analysis

The capability of a process, statistically speaking, is the ability of that process – based on historical performance – to achieve measurable results that satisfy established specifications and statistical limits. In a nutshell, process capability indicates how well a process is able to perform its specified purpose.

Why is process capability important? When the capability of a process is understood and documented, it can be used for measuring continual improvement using trends over time, prioritizing the order of process improvements to be made, and determining whether or not a process is capable of meeting customer requirements. Capability analysis is considered part of the Black Belt Body of Knowledge.

Capability Analysis Example

In order to analyze capability, look to a graphical or statistical tool that visually or mathematically compares actual process performance to performance standards. The two indices for measuring capability are Cp and Cpk.

• Cp: a measure of the ability of a process to produce consistent results and meet specifications – the ratio between the permissible spread and the actual spread of a process

• Cpk: a variation of Cp which takes off-centeredness into account

Keep in mind that the formulas to calculate process capability assume the process is stable and the data is normally distributed. To learn more about capability analysis and related topics, refer to the following articles and discussions on iSixSigma.com:

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1. Marc Schaeffers

Please correct the formulas. The Cpk and Cp are calcualted based on estimated standard deviation not on real standard deviation.

2. Chris Seider

The article would have been more useful for those out there that don’t know what are good values for Cp, Cpk etc.

3. Kimmy Burgess

Great post my friend really quiet mathematical indeed ,I love the part where you have depicted the formulas that increase the overall stats of post and makes it appealing.Keep updating such loving articles.

4. Venkatesh Shanbhag

Typically, Cpk is preferred over Cp because Cpk takes care of the process center (average) and also the process variation. Also – Cpk is useful for processes where the spec limits are one-sided.. Chris – Any process with Cpk values > 1 is considered good (or capable). Cpk – 1 corresponds roughly to a 4.5sigma level.. Hope this helps..

5. Oumar

I s it enough to evaluate Cp only without looking at Cpk and Cpm ?