Overview
Solve your complex business problems with IBM ILOG CPLEX Optimization Studio
It is a prescriptive analytics solution with modeling tools as solvers, that helps teams to build, solve and deploy decision optimization models using mathematical, constraint programming and constraint- based scheduling. It enables users to translate complex business constraints into optimized actions for planning, scheduling, resource allocation or any other optimization problem.
Features
Turn Complex Decisions into Competitive Advantage
- Mathematical programming
- Constraint scheduling
- OPL modeling
- Development environment
Mathematical programming
CPLEX is engineered for high-throughput, large-scale optimization across diverse industries. You can Solve LP, MIP, MIQCP and SOCP models using advanced algorithms such as simplex and barrier methods, combined with branch-and-bound, cutting planes and pre-solve techniques.
Constraint scheduling
Solve combinatorial models with discrete variables and tackle scheduling problems using CP Optimizer. Leverage temporal constraints, integer variables, and domain reduction for efficient solutions. Ideal for resource planning, workforce scheduling, manufacturing optimization, packing, assignment and other complex combinatorial challenges across industries.
OPL modeling
Model complex optimization problems using OPL (Optimization Programming Language), a declarative language with native support for sets, arrays, tuples and both linear and non-linear constraints. It also supports scheduling-specific constructs such as intervals (activities) and Cumul functions (resources). This simplify the modelling process compared to general-purpose programming languages.
Development environment
The Integrated Development Environment (IDE) features a constraint-aware editor, project manager and solution visualizer. Debug, profile and run models locally or on IBM Cloud with full control and transparency for OPL-based development. Scripting is supported via JavaScript.
Use cases
What can you Optimize
Translate complex business problems into optimization models and solve them to provide optimal actions aligned with objectives and business goals.
Read more Solve mathematical, constraint programming and constraint-based scheduling problemsUse CPLEX Optimizer and CP Optimizer to solve mathematical programming, constraint programming and constraint-based scheduling problems.
Read more Build and deploy across your preferred environment with a wide variety of embedding APIsDevelop optimization models for on-premises, cloud or hybrid environments to support prescriptive analytics across your business.
Case studies
Real stories. Real impact.
Learn how ÇimSA used CPLEX Optimization Studio to solve complex business optimization problems and deliver solutions faster.
Read the case study
Learn how Lumileds Holding reduced the runtime needed to generate a sales and operations plan by 50%.
Read the case study
Learn how CleanSpark achieved significant time savings and differentiation in the field of microgrid development.
Read the case study
Read how Decision Optimization models help reduce clay-blending process from days to seconds.
Read the case study
ILOG CPLEX Interactive Demo
Pricing
Choose the IBM ILOG CPLEX Optimization Studio licensing option that fits your optimization needs.
Ready to start optimizing complex business decisions?
Start with the free edition to explore IBM ILOG CPLEX Optimization Studio, or use the Buy now option when you are ready for subscription-based development use with unlimited variables and constraints.