As you know, a log condition number of 5 or less is best. VIF's measure the amount of cross-contamination in the b coefficients. Large amounts of cross-contamination mean potentially inaccurate predictions. For process problems, you want VIF's less then 5. The I or D optimality tells how well the design meets the criterion for being optimal.
Lower numbers are better in each case.
We don't currently provide customers with a means for calculating these. To tell if your design is good before you collect data, run a regression using the run order as the response. Check the log condition number and the VIF's. If they are not OK, you need to improve your design. Answer provided by Bill Kappele .