SAS/OR makes it is easy to indicate where and how a model will use input data. Data/model separation is maintained, which is critical when reusing models or model components. Users can select which aspects of the solution get reported and can control the form in which they are reported.
Build models interactively, and experiment with data.
Interactively build models, modify constraints or variables, and experiment easily with the effects of changes to underlying data. In mathematical optimization, a specialized modeling language enables you to work transparently and directly with symbolic problem formulations, and the software automatically chooses the most appropriate solution method for the current problem. This allows you to formulate and solve problems intuitively and efficiently, regardless of their specific mathematical form.
Get faster, better answers.
Confidently manage projects to meet deadlines within resource limitations, and create back-up plans to address unforeseen variations in resource availability. SAS/OR includes analytic and solution methods that are tuned to address even the largest, most complex real-world problems.