I have to design an experiment involving 1 fixed ingredient (A), 1 ingredient with a minimum and maximum % to use (B) and ingredients from 9 other different categories (C to K).
Each category from C to K have varying number of ingredients within those categories, varying from atleast 2 to a maximum of 9. And each of the ingredients in these categories have a recommended use level (%), so it is either present at that level or not present at all in a particular run.
There is only 1 response variable which needs to be maximised.
The maximum number of runs which is practically feasible to run is 100.
Here is an example:
- A - always present at 4%
- B - concentration between 50-70%
- C - Maximum concentration should be 10%
- C1 - either absent or present at 5%
- C2 - either absent or present at 5%
- C3 - either absent or present at 2%
- C4 - either absent or present at 3%
- Other categories similar to C
What is the best way to design such an experiment in JMP? And are there any limitations with regard to the computational power of the PC being used?
