PQ Systems Knowledge Base

ST: 3 When is it used

Revision Date: 2005-09-06

Use the standard method for calculating capability analysis when you can answer "yes" to all of the following questions:

1. Is it necessary to understand how the system performs in comparison to specification limits?
Specifications or requirements must be available to complete capability analysis. The system must also be measured in the same way as the specifications, so a direct comparison can be made.

 

2. Does the specification consist of an upper and lower requirement?
For processes with one-sided specifications, see the article Capability analysis for one-sided specifications.

3. Are no special causes of variation present?
A system with special causes is unstable and constantly changing. If capability analysis is performed under these circumstances, it will be unreliable. Always construct a control chart and check for special causes before completing capability analysis.

4. Is the data in variables form?
In order to complete the standard method for capability analysis, the data must be in variables form, that is measured data, such as time, length, weight, or distance.

5. Do the individual values form a normal distribution?
In order to complete capability analysis using the standard method, a normal distribution is required. Use a histogram  to check for normal distribution. If the distribution is not normal, non-normal capability analysis can be used.

6. Has the data been collected over a period of time?
There are two ways to collect data for capability analysis. The standard method is from a control chart, where the data is collected over a period of time. If data has been collected in this way, the standard method for performing capability analysis is used.

See also:

 1 What is it?
 2 What does it look like?
 4 How is it made?

The above article is an excerpt of the "Capability Analysis" section of Practical Tools for Continuous Improvement Volume 1 Statistical Tools.  Practical Tools for Continuous Improvement includes capability analysis for attributes data, trial runs, and non-normal data, as well as capability analysis for one-sided specifications.

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