This one goes beyond what I remember from my DOE training so long ago!
Let's say I wanted to optimize a process that was driven by 3 variables. Variable A could be at 3 levels, Variable B could be at 8 levels and Variable C could be at 9 levels. Other than doing 216 experiments to cover every combination, is there a good designed experiment methodology that I could use to cover this territory in the most efficient manner possible?
Thanks in advance!
Let's say I wanted to optimize a process that was driven by 3 variables. Variable A could be at 3 levels, Variable B could be at 8 levels and Variable C could be at 9 levels. Other than doing 216 experiments to cover every combination, is there a good designed experiment methodology that I could use to cover this territory in the most efficient manner possible?
Thanks in advance!