Model and solve complex planning, scheduling and resource assignment problems with world-class optimization solvers.
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.
Turn Complex Decisions into Competitive Advantage
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.
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.
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.
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.
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