Hi:
This seems like a dumb problem, but I can't seem to figure out how to build the constraints portion of a DOE model I'm trying to prepare. It's a big recipe type optimization, but it runs through two distinct time/temperature windows.
The basis is that I have two (difficult to change) continuous variable time portions that each have an associated temperature range. However, the second temp must be greater than the first. In other words: Regime #1 can range from 15 to 60minutes, and the temperature can be (static) between 30 and 56°C. Regime #2 can be from 15 minutes to 60minutes, at any temperature > Regime #1. Regime#2 always follows Regime#1. I can't just collate the experimental time variable and test different temperatures, because it is likely that recipe components will have optimal performance at distinct temperatures, and we need a model that can discriminate that. It is very likely that running for x amount of time at a low temperature followed by y amount of time at a higher temperature will give the best performance.
I've gone through a few of Prof Goos lectures, but the temp regime dependence keeps throwing me. FWIW, I'm using JMP 15.1, and I really don't understand scripting.
Thank you in advance for any advice you could offer!
Ted
