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Why IBM CPLEX Optimization Studio is the best choice for making decisions
Proven optimization technology with more than 25 years experience
Choose a provider with decades of proven expertise in optimization technology. The prestigious Edelman Prize is given each year to the best practitioner project in operations research. Edelman finalists have used IBM CPLEX Optimizer four times more than any other optimization technology to build innovative solutions for solving difficult challenges.
Provides comprehensive end-to-end solution for solving complex problems
From integrating with IBM SPSS Modeler predictive analytics engine to running optimization algorithms on cloud to allowing for user collaboration and powerful visualizations in an intuitive user interface, IBM ILOG CPLEX Optimization Studio provides a comprehensive end-to-end solution for even the most complex challenges.
Enables development and deployment of optimization models quickly and accurately
Use OPL, an algebraic modeling language, that makes it easier to understand and see constraints, goals and costs. Choose from a large set of interfaces, programming languages or deployment scenarios. Deploy in Java, Python, .NET, C and C++ or with a client/server architecture. Use built-in development tools for debugging, profiling, tuning and conflict detection. Enjoy total flexibility for modeling with a compact and expressive OPL, and an IDE with diverse model development services that no other organization provides.
One solution for many industries
Leading organizations from various industries across the world use IBM ILOG CPLEX Optimization Studio to achieve better outcomes. Here are some examples: A global logistics provider creates its next-generation logistics management platform. An arc welding systems and power source manufacturer in Italy reduces inventory by 15 percent and cuts lost orders by 70 percent. A financial services company helps banks reduce cross-shipping fees by 63 percent.
Detailed system requirements
- Software requirements - runs on macOS, Windows, Linux and AIX
- Hardware requirements - runs on macOS, Intel, Power and z/OS
Customer case study
An IBM Analytics optimization solution is helping the College of the Environment at the University of Washington design smarter routes for timber harvests, reduce the size of the forest road network and minimize the environmental impact of forestry operations.
Using IBM ILOG CPLEX Optimization Studio, the client gained actionable insight over 25,000 road segments in 5 hours.
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