Hi @Bertelsen92,
Which effects would you like to see in the models ?
For the screening of main effects, I'm able to create a 32-runs in 4 whole plots (so 8 runs per day like you mentioned), where you only have one process per day.
Here is the script :
DOE(
Custom Design,
{Add Response( Maximize, "Y", ., ., . ),
Add Factor( Continuous, -1, 1, "X1", 0 ),
Add Factor( Continuous, -1, 1, "X2", 0 ),
Add Factor( Continuous, -1, 1, "X3", 0 ),
Add Factor( Continuous, -1, 1, "X4", 0 ),
Add Factor( Continuous, -1, 1, "X5", 0 ),
Add Factor( Continuous, -1, 1, "X6", 0 ),
Add Factor( Continuous, -1, 1, "X7", 0 ),
Add Factor( Continuous, -1, 1, "X8", 0 ),
Add Factor( Categorical, {"L1", "L2"}, "Process", 1 ),
Set Random Seed( 235758137 ), Number of Starts( 1574 ), Add Term( {1, 0} ),
Add Term( {1, 1} ), Add Term( {2, 1} ), Add Term( {3, 1} ), Add Term( {4, 1} ),
Add Term( {5, 1} ), Add Term( {6, 1} ), Add Term( {7, 1} ), Add Term( {8, 1} ),
Add Term( {9, 1} ), Add Alias Term( {1, 1}, {2, 1} ),
Add Alias Term( {1, 1}, {3, 1} ), Add Alias Term( {1, 1}, {4, 1} ),
Add Alias Term( {1, 1}, {5, 1} ), Add Alias Term( {1, 1}, {6, 1} ),
Add Alias Term( {1, 1}, {7, 1} ), Add Alias Term( {1, 1}, {8, 1} ),
Add Alias Term( {1, 1}, {9, 1} ), Add Alias Term( {2, 1}, {3, 1} ),
Add Alias Term( {2, 1}, {4, 1} ), Add Alias Term( {2, 1}, {5, 1} ),
Add Alias Term( {2, 1}, {6, 1} ), Add Alias Term( {2, 1}, {7, 1} ),
Add Alias Term( {2, 1}, {8, 1} ), Add Alias Term( {2, 1}, {9, 1} ),
Add Alias Term( {3, 1}, {4, 1} ), Add Alias Term( {3, 1}, {5, 1} ),
Add Alias Term( {3, 1}, {6, 1} ), Add Alias Term( {3, 1}, {7, 1} ),
Add Alias Term( {3, 1}, {8, 1} ), Add Alias Term( {3, 1}, {9, 1} ),
Add Alias Term( {4, 1}, {5, 1} ), Add Alias Term( {4, 1}, {6, 1} ),
Add Alias Term( {4, 1}, {7, 1} ), Add Alias Term( {4, 1}, {8, 1} ),
Add Alias Term( {4, 1}, {9, 1} ), Add Alias Term( {5, 1}, {6, 1} ),
Add Alias Term( {5, 1}, {7, 1} ), Add Alias Term( {5, 1}, {8, 1} ),
Add Alias Term( {5, 1}, {9, 1} ), Add Alias Term( {6, 1}, {7, 1} ),
Add Alias Term( {6, 1}, {8, 1} ), Add Alias Term( {6, 1}, {9, 1} ),
Add Alias Term( {7, 1}, {8, 1} ), Add Alias Term( {7, 1}, {9, 1} ),
Add Alias Term( {8, 1}, {9, 1} ), Set N Whole Plots( 4 ), Set Sample Size( 32 ),
Simulate Responses( 0 ), Save X Matrix( 0 ), Make Design}
);
And attached you can find the datatable.
The trick is to specify your 2-level categorical factor "Process" as a hard-to-change factor, and specify 4 as the number of whole plot (4 days) and 32 as the number of runs (8 runs per day). Note that for screening main effects, you could reduce the number of runs if needed (but it should be a multiple of the number of experimentation day, so if you keep 4 days, you can reduce to 28 or 24 runs for example) :
![Victor_G_1-1675269106692.png Victor_G_1-1675269106692.png](https://community.jmp.com/t5/image/serverpage/image-id/49704i0461B57E74056856/image-size/medium?v=v2&px=400)
If I misunderstand your objective and/or design specifications, don't hesitate to add more details and explanations, so we can find a better solution.
I hope this will help you,
Edit: This design doesn't seem to respect your constraint of having only 4 different mixtures/day, so increasing the number of whole plots to 8 (and doing 2 whole plots of 4 experiments each per day) with the same number of runs could be an alternative, I have to check later if it works.
Sorry for the misunderstanding,
Victor GUILLER
Data & Analytics