Mathematical programming is a key OR technique used to solve a wide variety of industrial problems. Optimization is very different than search (as executed by Google search, for example). It entails a detailed mathematical expression of the underlying process via constraints and parameters. The expression of the metric to be optimized is the objective function and the optimization exercise results in the optimal settings of the decision variables.

Contact us to know more about how Optimization is relevant for your business and how Optimal Solutions can help you get the best out of this key technology.

Selected areas for in-depth coverage:

•    Integer programming (LP)
•    Mixed Integer programming (MIP)
•    Nonlinear programming (NLP)
•    Mixed Integer Nonlinear Programming (MINLP)
•    Stochastic programming
•    Constrained programming
•    Global optimization
•    Genetic Algorithms

 

Related Case Studies:

• Tanks scheduling/planning solution
• Real Time Optimization technology
• Forecasting and Optimization of Marketing Campaigns
• Optimization-based Scheduling application for a complex beverage manufacturing plant.