Mathematical Optimization is an extremely powerful tool that can provide organizations with the means to make the “best possible” decision. Optimization can enable businesses to reduce costs, improve profitability, reduce risks, allocate resources effectively, among many other benefits. In addition, optimization can automate decision processes to improve speed of responses – allowing business managers to focus their attention on critical issues rather than routine matters.
Applications of Optimization include:
- Minimizing travel distances in transportation networks
- Maximizing pharmaceutical yield
- Improving advertising sales plans
- Scheduling constrained resources
- Optimizing supply chains
Using optimization, Emprata can help you produce concrete, measurable improvements in your business processes.
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Capabilities
Emprata’s mathematicians are well versed in the modeling and optimization of complex, real-world problems. Our mathematical modeling expertise spans all major sub-fields of optimization including linear programming, mixed integer programming, non-linear programming, stochastic programming, constraint programming, multi-objective optimization, and combinatorial optimization. Emprata is skilled in the use of open-source solvers such as SCIP and lp-solve, as well as commercial solvers including CPLEX and Gurobi.
