Constraint program solvers - IBM CPLEX
Solve detailed scheduling problems
WatsonWorks Products
IBM Storage Software
Use constraint programming techniques to compute solutions for detailed scheduling problems and combinatorial optimization problems.
#IBM-CPLEX
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Overview:
Use constraint programming techniques to compute solutions for detailed scheduling problems and combinatorial optimization problems
IBM® ILOG® CP Optimizer is a necessary and important complement to the optimization specialist's toolbox for solving real-world operational planning and scheduling problems. ILOG CP Optimizer contains a robust optimizer that handles the side constraints that are invariably found in such challenges. For pure academic problems such as job-shop, open-shop and flow-shop, it finds solutions that are comparable to solutions found by state-of-the-art specialized algorithms.
Features:
Detailed scheduling problems
- Use scheduling-focused modeling features such as intervals for activities and cumul functions for resources
- Support business goals by optimizing earliness/tardiness costs, duration costs, and non-execution costs
- Model work breakdown structures, task dependencies, and multiple production modes
- Model finite-capacity resources and reservoirs
- Model setup times to determine optimal batch sizes in computed schedules
Combinatorial optimization problems
- Use specialized constraints—such as all-different, pack, lexicographic, count, and distribute—for business problems like facility location, routing, and configuration
- Model with logical constraints and a full range of arithmetic expressions, including modulo, integer division, minimum, maximum, and expressions that index arrays by decision variables
- Model using discrete decision variables (boolean or integer)
Benefits:
Specifications:
Pricing Notes:
- All Prices are Inclusive of GST
- Pricing and product availability subject to change without notice.
WatsonWorks Products
IBM Storage Software
Use constraint programming techniques to compute solutions for detailed scheduling problems and combinatorial optimization problems.
#IBM-CPLEX
Our Price: Request a Quote
Our Price: Request a Quote