Optimization

Optimization concerns doing something as well as possible.

Optimization Partner uses mathematical optimization to solve complex decision problems from industry. We help our clients to formulate their decision problems mathematically, or as we say to model it. When the problem is set in a mathematical framework then the best solution can be computed using optimizing algorithms. If the model mimics reality well, the optimal solution will be at least as good as any other solution. In practice, it often outperforms manual, or rule-of-thumb solutions.

Many problems in applications in industry, finance, retail business, or public sector, can be put in such an optimization framework. Their solutions can yield significant real value. In steel and paper industry waste minimization when cutting steel plates or paper rolls is a common application, in the finance industry the weighing of expected return and risk is fundamental and in the transport sector route planning is important.

Optimization Partner uses almost exclusively methods and models that garantees that the obtained solution is optimal or that a measure of how far from the optimal solution the obtained solution can be provided. Thus, convex continuous optimization and linear integer programming are our most important tools. We also emphasize modelling and that the models we develop are sound from a scientific as well as practical perspective.