Hi @SerialFox537,
Can you be more specific about the platform you use for the design generation, the factors (only A and B ?) and factors type, as well as the assumed model ?
With the Space-Filling example or with a Custom Design, I have no design generation problem with these settings :
Here is the script as an example to regenerate the 12-runs D-Optimal design :
DOE(
Custom Design,
{Add Response( Maximize, "Y", ., ., . ),
Add Factor( Continuous, 0.5, 20, "A", 0 ),
Add Factor( Continuous, 5, 125, "B", 0 ), Set Random Seed( 360253698 ),
Number of Starts( 9706 ), Add Term( {1, 0} ), Add Term( {1, 1} ),
Add Term( {2, 1} ), Add Term( {1, 1}, {2, 1} ), Add Term( {1, 2} ),
Add Term( {2, 2} ), Set Sample Size( 12 ),
Disallowed Combinations( B > 500 * A ^ (-1) ), Simulate Responses( 0 ),
Save X Matrix( 0 ), Make Design, Set Run Order( Randomize ), Make Table}
)
And datatable is attached.
Hope this answer will help you,
Victor GUILLER
L'Oréal Data & Analytics
"It is not unusual for a well-designed experiment to analyze itself" (Box, Hunter and Hunter)