Questions regarding logistics, technology, finance, industry, economics and administration are increasingly being solved using mathematical models of varying levels of complexity. This is now the most commonly used solution in many areas.

Modelling, meaning the creation of a formal image of partial aspects of reality, and the following simulation of real processes, belong to our standard repertoire. Mathematical modelling means expressing a real question in the language of mathematics. This makes it possible for us to solve the question using mathematical tools.

Our central task is to execute the actual modelling process by offering several variations and alternatives, implement the mathematical solution and then interpret and critically assess said solution to determine its relevance to the defined problem.
The starting point is always an actual problem. A mathematical problem is then developed from this. This mathematical problem is an image of reality which can solve the actual problem using mathematical methods. The mathematical solution is interpreted with regards to its real meaning and checked to determine its relevance to the actual problem.

Model criteria:

  • Correctness
  • Admissibility
  • Practicality

Different modelling approaches, deterministic or stochastic, discrete or continuous, are combined in a manner appropriate to the given task.