Model summary: With P pk of less than 1.0 we can conclude that the capability of this process is not very good. Click “OK” in the “Capability Analysis(Non-Normal Distribution)” window.Click “Options” button and another new window named “Capability Analysis(Non-Normal Distribution) – Options” pops up.Enter “6” as the “Lower spec” and “7” as the “Upper spec.”.A new window named “Capability Analysis(Non-Normal Distribution)” pops up.Click Stat → Quality Tools → Capability Analysis→ Non-Normal.Thus, we would perform a Non-Normal Capability analysis as follows: If the p-value of the previous normality test is smaller than the alpha level (0.05), we would reject the null hypothesis and conclude that the data are not normally distributed. The capability analysis results appear in the new window.Click “OK” in the “Capability Analysis(Normal Distribution)” window.
Update the process capability indices if needed. Monitor the process and ensure it remains in control over time.Calculate the process capability indices.Prove the process is statistically stable (i.e.Collect the historical data for the parameter of interest.Determine the metric or parameter to measure and analyze.Capability analysis helps to better understand the performance of the process with respect to meeting customer’s specifications and identify the process improvement opportunities. It indicates the conformance of a process to meet given requirements or specifications. Process capability measures how well the process performs to meet given specified outcome.