Transform your business decision-making with data science
IBM ILOG® CPLEX® Optimization Studio uses decision optimization technology to optimize your business decisions, develop and deploy optimization models quickly, and create real-world applications that can significantly improve business outcomes.
How? IBM ILOG CPLEX Optimization Studio is a prescriptive analytics solution that enables rapid development and deployment of decision optimization models using mathematical and constraint programming. It combines a fully featured integrated development environment that supports Optimization Programming Language (OPL) and the high-performance CPLEX and CP Optimizer solvers. It’s data science for your decisions.
→ Quickly develop optimization models
→ Learn about CPLEX Optimization Studio fundamentals
→ Create and run an optimization model in Python
CPLEX Optimization Studio 12.10 includes significant performance improvements and more
CPLEX Optimization Studio 12.10 includes significant performance improvements and more Explore what’s new
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What's new in IBM ILOG CPLEX Optimization Studio
Machine learning for faster optimization
IBM CPLEX implements a machine learning-based algorithm to make automatic decisions and speed up mixed integer quadratic problem-solving.
Faster solver performance
Solve multi-objective problems with CPLEX, including hierarchical, blended, or combinations of both.
Automatic benders decomposition
Get significant performance improvements for MIP and MIQP problems, as well as constraint programming and constraint-based scheduling.
Download and go
Get up and running in less than 15 minutes with the Developer option, now available in monthly and annual subscriptions.
Benefits of IBM ILOG CPLEX Optimization Studio
Replace intuition with factual decisions
Translate business problems to optimization models and solve them using powerful CPLEX engines.
Solve a range of optimization problems
Uncover mathematical programming, constraint programming, and constraint-based models using CPLEX engines.
Choose your deployment
Choose from on-premises, cloud and hybrid deployment options to successfully deliver prescriptive analytics through mathematical and constraint programming.
Gain better outcomes for many industries
A major transportation company reduced operating costs by USD 26 million annually through better allocation of rolling stock by using IBM ILOG CPLEX Optimization Studio.
Why IBM ILOG 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 a 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.
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.
Testimonials
“ Technically, CPLEX is very easy to deploy and to implement into the techniques we were developing in our framework. So that was key in our decision. ”
- Birome Holo Ba, PhD
- Cofounder and CSO
- BioSCO SAS
“ You can’t just write regular programming code for it. You’ve got to model each of these things in an equation, and you’ve got to get that equation balanced and optimized. What CPLEX does is it actually solves this thing. ”
- Amanda Kabak
- CTO and Principal Architect
- CleanSpark
“ The main advantage of the IBM technology for us as a startup was fast time-to-market, as well as its ability to handle many different types of variables and objectives, control numerous parameters, and handle infeasible problems. ”
- Amit Godel
- CTO
- BondIT
Product images
Running an OPL model
Debugging in OPL Syntax
Syntax checking and auto-completion
Which option is right for you?
Free edition
Developer Subscription
Other licensing options
Featured partner solutions
Optimization Direct
Combines a new algorithm, ODHeuristics, with CPLEX in the ODH-CPLEX Optimizer specifically to find solutions in massive MIP models of the big data era.
DecisionBrain
Delivers advanced analytics and optimization solutions to innovative companies who want to apply a scientific approach to decision-making.
Math.Tec
Provides warehouse logistics optimization, production logistics optimization, transport logistics optimization and industry optimization solutions.
Expert resources to help you succeed
Quick links
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CPLEX CP Optimizer
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Solve detailed scheduling problems and constraint-based scheduling problems
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Decision Optimization
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Learn about the full family of optimization offerings from IBM