Overview for Automated Capability Analysis

Use Automated Capability Analysis to evaluate the capability of your process with several methods. With this analysis, you can do the following:

Automatically determine a reasonable method to estimate capability statistics.
Determine whether the process is capable of producing output that meets customer requirements.
Evaluate the overall capability of the process.

The analysis evaluates the fit of different distributions and transformations to the data. If the analysis finds a distritbution that fits the data or a transformation that makes the data appear to follow a normal distribution, then the analysis produces capability statistics for that method. If no distribution or transformation provides a reasonable fit, then the analysis performs a non-parametric analysis.

To perform the analysis, you must specify a lower or upper specification limit (or both) to define your process requirements. The analysis evaluates the spread of the process data in relation to the specification limits. When a process is capable, the process spread is small relative to the specification spread. In addition, the analysis estimates the proportion of product that does not meet specifications.

For example, administrators at a medical center want to evaluate wait times for patients with scheduled medical appointments. They want to ensure that patients are seen by a physician within 15 minutes of their scheduled appointment time. The administrators evaluate the capability statistics using a method that fits the data.