IBM
IBM CPLEX decision optimization
IBM decision optimization engine for constraint problems such as production scheduling.
- Model Objectives, constraints and rules
- Solve Constraint programming and optimization
- Execute Scheduling and resource allocation
Scenarios and capabilities
Fitting scenarios
- Scheduling rules exceed what manual planning can handle
- Orders, capacity and time windows must be satisfied together
- Decisions must be explained to the business and written back
Key capabilities
- Constraint programming and mathematical optimization
- Modeling of objectives, constraints and business rules
- Production scheduling and resource allocation
- Results connected to business systems and processes
How BSG delivers
We start from one problem with a clear business owner and verifiable results, define objectives, constraints and data inputs together, then deploy the engine, connect business systems and write results back. Other IBM product lines are not in the default distribution scope.
Layer Decision optimization Solvable plans for scheduling and other constraint problems.
Related solutions and services
- Solution AI infrastructure solution Layers and responsibilities across products View
- Operations Open source operations Mostly remote; on-site support for major changes and incidents. View
- AI AI services Readiness review, scenario delivery, data infrastructure, secrets governance and platform care. View