I have a Gauge R&R study that I have questions about analyzing in JMP Pro 17.1. First I’ll give the full background and then I’ll ask the questions. (This is a long post)
Background and Setup:
In this study we have 2 operators and 3 machines (called BuildMachine), each of which produces 3 parts for a total of 9 parts. Each operator measures all 9 parts three times.
This means (I believe) that the parts are nested under each BuildMachine. There are 2 replicate runs. This means we have a total of 54 runs (3 BuildMachines * 3 Parts * 2 Operators * 3 measurements).
To summarize using the button setup in DOE > Special Purpose > MSA Design:
We Nest Part within BuildMachine and then cross both with Operator
The final experimental setup as shown in the MSA design is then:
I wasn’t 100% sure how to set up the analysis in Analyze > Quality and Process > Variability/Attribute Gauge Chart so I reasoned that I will Simulate Reponses in the MSA Design window > Make Table > Gauge R&R script and then see how JMP set it up for me.
Here is the result:
The Model Type was set to ‘Decide Later’ so I set it manually to Nested then Crossed as than was how I set up the problem in the MDA Design platform. Is this right?
Questions:
- Did I set up the MSA Design platform correctly with regards to Nesting and Crossed?
- Did JMP set up the Variability/Attribute Gauge Chart window correctly for me? (Especially with regards to putting all of the factors in the ‘X, Grouping’ window?
- Did I pick the correct Model Type in the Variability/Attribute Gauge Chart window? (Nested then Crossed)
- The engineers would like to quantify the difference between the 3 BuildMachines. I can use ‘Heterogeneity of Variance Tests’ to look for unequal variances. I didn’t see any options to test for significant differences among the means. Is the best route to do a Means/Anova test outside of this platform?
Thanks,
Larry
