In a previous post, I discussed using discrete-event simulation to validate an optimization model and its underlying assumptions. A similar approach can be used to validate queueing models as well. And when it is found that the assumptions required for a queueing model are not a good fit for the
SAS/OR 14.1, which became available on July 14, delivers a number of new and enhanced features in optimization and simulation. These changes are designed to make SAS/OR even easier to use and to enable you to model and solve larger, more complex problems more efficiently. If you're using SAS/OR now,
During the week of July 13-17, 2015 most optimization experts will attend the 22nd International Symposium on Mathematical Programming (ISMP2015), which is this year's most important optimization conference. Several members of the SAS/OR team will attend. We will give various talks during the week, here is our schedule.
