Hi all,
I’m working on a DOE with the following factors:
Before running the experiments, I want to know how to evaluate my design to ensure that I can:
Also, I don’t want to do just the minimal number of runs, since I plan to run each experiment in replicate. Any advice on how to assess the design’s adequacy or recommendations for tools and metrics to use would be greatly appreciated!
Welcome! I expect you will get a lot of help here.
There are several ways to evaluate a design. The emphasis on some criteria depends on the purpose of the design. You only have two factors, so screening factors does not seem to be a goal. You want to optimize factor settings, so prediction is the primary focus.
In addition to the number of runs, be sure to use a wide range for the continuous factor. This will enhance the chance that you will observe this factor's effect if it is active. It also gives you a more unbiased assessment of the response behavior. That is, please to not set the range solely based on where you expect the optimum setting to be with a narrow range around it.
Do you have an idea of the noise in the response (i.e., a standard deviation)? Do you have an idea of how much changing the factor levels might change the response?
Please see this section from the JMP Design of Experiments Guide about evaluation and then return here with your questions.
