I have a large set of DOEs and was hoping to create a jsl script that would do the long string of relatively manual steps: run and open the profiler, set up and run a simulation experiment, and then run the Gaussian process to open the defect profiler.
Using the "save to script" functionality makes it really straightforward to get a jsl script that opens the jmp profiler and then sets it up right through to the having a simulator with given distributions on factors. But I am struggling to work out how to make this jsl script do two things beyond this: firstly, set the spec limits for defects (these aren't being recorded when I use a save to script), then secondly, set up and run the simulation experiment that generates the new table of defect rates.
Has anyone been able to do either of these things, or have some pointers on where to start?
Alternatively, perhaps is there a way to instead manually run the Monte Carlo behind the simulation experiment? I imagine this would mean I could simply just extract the model from the profiler and run the Monte Carlo directly on that?
Thanks!
Ben