Xpress-SP is a Stochastic Programming tool for solving optimization problems involving uncertainty. Xpress-SP can be used to model and solve problems occuring in Supply Chain Management, Energy, Finance, Transportation, etc., by building uncertainty into the optimization problem in order to hedge against future variability. By assimilating uncertainty into the optimization process, Xpress-SP enables superior management of resources by eliminating the overhead costs of conservative planning, reducing penalties for unmet targets, and achieving higher service levels and profits.
Traditionally, Stochastic Programming has been a difficult to approach area due to the complexity of modeling uncertainty, particularly for multi-stage problems.
Xpress-SP has simplified the process of modeling stochastic problems by seamlessly integrating SP modeling facilities within Xpress-Mosel. For more details click here.
Xpress-IVE now includes a visual environment for developing and debugging stochastic models. See here for more details.
