"Process capability" refers to the variation of a stable process based on the specification limits. " Process capability analysis " is an index that summarizes the center and variation of a process in relation to the specification limits, and allows you to examine how well the process remains within the specification limits.
JMP not only calculates process capability indices (Cp, Cpk, Pp, Ppk, etc.), but also displays a variety of related graphs along with the indices, making it easy to perform exploratory capability analysis of multiple processes.
This video explains the basics of performing process capability analysis in JMP and introduces graphs, such as goal plots and process performance graphs, that are useful for comparing multiple processes in JMP and how to use them.
Platform for performing process capability analysis in JMP (red frame)
You can try out the operations in this video using JMP sample data.
You can find the sample data by selecting Help > Samples Index from the JMP menu bar and searching for the sample data name.
*This video uses the latest version (JMP 18.0.1) at the time of creating the video.
table of contents
Part 1. Basic steps to perform capability analysis in JMP
Section 1. Process capability analysis using "univariate distribution" (17 minutes 59 seconds)
- Example 1-1. Process capability analysis using "univariate distribution"
- Description of process capability indices displayed (within group sigma, overall sigma, nonconformance rate, etc.)
Section 2. Capability analysis of non-normally distributed data (6 minutes 18 seconds)
- Example 1-2. Process capability analysis of data that does not follow a normal distribution (applying a log-normal distribution and calculating process capability indices)
Part 2. Effective capability analysis when there are multiple process variables
Section 1. Using the Process Capability Platform (14 minutes 50 seconds)
- Features of the "Process Capability" platform
- A platform specialized for process capability analysis
- Apply the optimal distribution and calculate the process capability index when the distribution is followed.
- Create graphs (goal plots, capability box plots, etc.) that are useful for analyzing multiple processes at once
- Example 2-1. Analysis of multiple normally distributed processes
- Example 2-2. Fitting the best distribution to each process and performing process capability analysis
Section 2. Calculating process capability indices using subgroups (8 minutes 58 seconds)
- Example 2-3. Calculating process capability indices using subgroups
- About the Stability Index
Section 3. Using the Process Screening Platform (9 minutes 25 seconds)
- Features of the "Process Screening" platform
- A platform for exploratory investigation of large amounts of process data
- Display a summary table of the results of each step
- You can explore the process you want to know from the summary table interactively.
- The process variables used are assumed to follow a normal distribution.
- Example 2-4. Screening a large amount of process data
