Purpose
The Capability Explorer add-in provides an interactive, six-graph summary for evaluating process capability. The report provides a process capability analysis and allows users to explore the results and quickly track down outliers or further investigate their data.
The add-in also provides several quick-launch buttons that bring their data into different analysis platforms or export the results to presentation files or interactive HTML.
User Guide
Launch the add-in
After launching the add-in, specify the column containing the process variable of interest (currently the Capability Explorer handles a single continuous process variable). Select an optional subgroup column or subgroup size and click OK. If a subgroup size is specified, a new subgroup column will be created.
The add-in creates a grid of six interactive graphs that are commonly used to determine process capability.
Selecting data points in the control charts, histogram, probability plot, or box plots will highlight the same data points in each of the other graphs and the data table. This interactivity makes it easy to identify possible outliers and other data points of interest.
To the left of the report are three groups of interactive toggles and buttons:
Modify Graphs
These check-boxes toggle different features in the graphs to help the user update the look of the graphs. Some options are not available when a subgroup is specified.
Additional Analysis
These quick-launch buttons provide a way to further explore the data in different JMP platforms. When launched, each platform generates a new tab in the report window.
Export
Please let me know if you find any problems/bugs and I will do my best to address them. If you have any feedback for future versions, please let me know!
Notes
The add-in has been tested on Windows and Mac, JMP v17
Big thanks to @nick_shelton, @MikeD_Anderson @MarilynWheatley for helpful discussions.
Updates
Sept 8, 2023 - A minor update to enable the Capability Explorer work in all languages.
This looks great and seems very smooth! I do have 2 suggestions:
@jszarka - Thanks for the comment and suggestions. I am considering an update for the add-in and will keep these in mind.
In the meantime, you can toggle the S and R charts by right clicking in the R chart. These charts were built in Control Chart Builder and so you can still access the right click menu. If you change the points to standard deviation for the S chart, remember to also change the Limits.
As for three-way charts, you can create these in the Control Chart menu.
I will certainly keep these suggestions in mind for an updated version. Thanks again for the comments!
Hi @Neo
I'm sorry to hear this add-in does not work on version 16. I wrote the add-in using version 17 and have confirmed that it also works in version 18. At this time, I do not plan to make a version that works with older versions.
Have you considered upgrading to a more recent version? The upgrade is free with your subscription and each version has new features!
Hi, @scott_allen
I attempted to utilize this fantastic add-in within JMP 18, but encountered a failure as described below.
The dataset mentioned above is JMP's sample dataset titled "Semiconductor Capability," and naturally, the processes have specified limits.
Consequently, I endeavored to modify the "column info" and enabled the "Show as Graph Reference Lines" option, which yielded successful results.
Would you kindly verify and update this add-in accordingly?
Many thanks in advance!
Hi @DaeYun_Kim -
I am glad to hear that you find the add-in useful and I am sorry that you are having some trouble with it.
I ran the same analysis (column NPN1 from the Semiconductor Capability data set) in JMP Pro 18 and I am not receiving this error. I have also tried changing the column properties a few different ways and I cannot reproduce this error.
Does this error happen with other data sets? or columns in the data table?
It is also odd that when you toggle the Graph Reference Lines the add-in works. This should not effect the script, so there are a few mysteries here!
Let me know if you get the error with different data tables and columns and maybe we can figure out what is going on.
Thank you for confirming. I've successfully replicated that there's no error using the JMP sample data table in version 18. Upon further investigation, I discovered that the error occurred with a manually constructed data table.
Once again, thank you for confirming and for creating this fantastic add-in. As a matter of fact, I presented this add-in to nearly 20 engineers at a semiconductor manufacturing company, and I believe it will prove to be immensely beneficial for them.