2000
-
Posts
1 -
Joined
-
Last visited
We have placed cookies on your device to help make this website better. You can adjust your cookie settings, otherwise we'll assume you're okay to continue.
Feasible design of experiment: DOE
in Applied Mathematics
Posted
Hello everybody,
I am working on “improvement of formulation and process parameters for a process”. For a proper planning of my experiments I need a design of experiment.
I have to show the influence of 8 factors to my process. Whereas five of this factors contain 2 levels, and three factors contain 3 levels. I will have time for 15 runs maximally.
Someone gave me the advice to try Plackett-Burmann, but as I have factors with 3 levels, I am not sure if it really is the right design. You can determine the influence of 11 factors in 12 runs. But as I need just 8 factors, I could combine factors 6 to 11 to three factors of 3 levels, right?
Further someone suggested D-optimal design. Apparently, 2-level, 3-level (or higher) factors can be used directly. Also, the algorithm is more flexible and can be used for any number of runs (i. e. 15 in my case). Unfortunately, I couldn't find too many references. Is this design appropriate for my problem?
Any other suggestions?
As I have no experience with DOE and this question is quite essential in my project, I would be really grateful if someone could help me.
Thank you in advance.
Cheers,