Hi
this is probably something for consulting you may say, however as it is of my personal interest too I ask this question nevertheless. I believe this might be not that uncommon in upstreaming situations, therefore it might be good to know for the future.
General situation
I have a special situation for a DOE setup where I am not sure how to easily setup the design. Here is the challenge:
- I have 6 AMBR available, each with 20 reactors (of 24), so 20 experimental runs can be run at the same time for one AMBR
- I have 3 DS (Dilution Themes, level L0,L1,L2), but level L0 must be run in AMBR 1 and 2 only
This constraint I could set up with a covariate design easily. Another approach would be a blocking factor but then we got into issues with constraining DS level L0 on AMBR 1 and 2 only. In addition with the other constraints following:
Constraints for the Design conduction
1.
- One continuous factor, lets say FX will have lower, upper and center level (as quadratic effects are of interest too)
- In one AMBR there can only be up to two different FX levels be run
- so within the 20 runs in one AMBR, only level combinations 0/-1, 0/1, -1/1 are allowed
- e.g. 10 runs FX level 0 and 10 runs FX level -1 --> all three levels appearing in those 20 runs is permitted
2.
- One continuous factor, lets name it Cell Exp. Duration (CED) will have 3 levels (-1, 0, 1) (as quadratic effects are of interest too)
- CED levels can be combined with DS levels only in max 6 combinations within the 20 runs in one AMBR
- e.g. 20 runs in one AMBR but only combinations L0/-1, L0/1, L2/1, L3/-1, L3/0, L3/1, and in the next AMBR another up to 6 combinations, and so on
Additional information
3. besides these factors I have another 12 continuous factors with 2 levels
- Note:
- they came up with 120 runs (6 AMBR times 20 reactors)
- they have model terms with interaction and quadratic effects
- BUT they removed several effects they do not think are of interest (see Design-01, if you want to see what effects they are interested in
- For the sake of this design creation the effects are secondary important, the structure needs to be fulfilled.
Attached is
- a covariate table for allowed AMBR/DS combinations.
- a model effects table for effects of interest in the generated blocking design (does not reflect the constraints)
- a initial blocking design (blocking factor mimics AMBR) Design-01.jmp which does not fulfill the constraints on CED-DS combinations number nor DS-AMBR constraing for L0
- a factor table for the initial design
@Ryan_Lekivetz and team