J
jackma246
Hi all,
I have an experiment set up for a DOE analysis with 5 factors, with 4 factors having 3 levels, and 1 factor having 5 levels.
The 1 factor having 5 levels cannot be made smaller, each of the 5 levels is a different model of a card we are testing and it is not numerical.
The other 4 can be made into 2 levels, as they are numerical and evenly spaced.
Also, the experiment is not hard to run, it is simulated on a computer - I can run about 400 cases within an hour. However, the point of this is to try to find a way to run as little tests as possible and to achieve a model that can accurately predict the result.
What sort of analysis should I use? Factorial? Taguchi?
Thanks! I am very inexperienced in DOE and Minitab.
I have an experiment set up for a DOE analysis with 5 factors, with 4 factors having 3 levels, and 1 factor having 5 levels.
The 1 factor having 5 levels cannot be made smaller, each of the 5 levels is a different model of a card we are testing and it is not numerical.
The other 4 can be made into 2 levels, as they are numerical and evenly spaced.
Also, the experiment is not hard to run, it is simulated on a computer - I can run about 400 cases within an hour. However, the point of this is to try to find a way to run as little tests as possible and to achieve a model that can accurately predict the result.
What sort of analysis should I use? Factorial? Taguchi?
Thanks! I am very inexperienced in DOE and Minitab.