Xpress-SP
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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.
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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.
For further information on Stochastic programming
and Xpress-SP please see the following links:-
 Basics of Stochastic programming
Stochastic programming with Xpress-SP
Overview of Stochastic Programming Applications
Modeling and solving Stochastic programming problems in supply chain management using Xpress-MP (abstract )
Casestudy: Scheduling in Hydro-Thermal Plants
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