This is an idea from a chemometrics professor, Riccardo Leardi, at University of Genoa. (Not a JMP user)
The "normalized determinant", M, is used as a measure of how good a design is.
The optimal design for different run sizes are determined. M is then plotted versus number of runs to suggest the appropriate number of runs to use.
This (or a similar metric) could be a useful plot for Compare Designs and/or Design Explorer.
There is more detail in this paper:
Leardi, R. (2022). D-Optimal Designs. In Encyclopedia of Analytical Chemistry, R.A. Meyers (Ed.). https://doi.org/10.1002/9780470027318.a9646
This approach can be utilized in CAT (Chemometric Agile Tool) software, which I think is based on R. I have never come across anyone using this software, other than Prof. Leardi.
