ILOG CPLEX 11, the latest version of ILOG's optimization software, delivers significantly faster mixed integer programming (MIP) performance that enables the software to address complex real-world business requirements involving larger, more complicated problems that were often unsolvable by previous generations of optimization software. CPLEX 11 is also the first product on the market with the ability to return multiple MIP solutions out-of-the-box, supporting critical decision-making processes, especially in challenging manufacturing or transportation applications, where multiple or alternative plans or schedules must be considered.

ILOG CPLEX improves business efficiency and decision-making by allowing businesses to calculate the best utilization of existing resources and implement an action plan that can potentially deliver millions of dollars in savings. CPLEX is used to solve an array of optimization problems in industries as diverse as financial services, transportation and manufacturing in functions ranging from asset management, airline crew scheduling, vehicle routing and production planning.

"CPLEX provides a better solution in terms of quality and speed than other methods, allowing us to solve much larger problems and construct more complicated models," says Ronald Chu, Principal in Operations Research and Decision Science at American Airlines. "The quantum leap in solution speed renders our business units much more willing to use our models in their decision process."

CPLEX 11 broke performance records in recent benchmark testing — demonstrating processing times 10-times faster, on average, for the most complex business problems, problems that took more than one hour to solve with CPLEX 10. CPLEX's performance increase will mean businesses in the supply chain, manufacturing and logistics markets, among others, can increase the scope of their planning from one region to across regions, turn an overnight batch job into a near real-time application, or complete rapid what-if analysis on a planning problem.






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