It seems virtually impossible to find a model for our decision-making which takes all details into account. In this episode we demonstrate how data abstraction can help to model a problem, thus making it the core of successful optimization.

To the untrained eye, it is not immediately obvious whether using a solver is an easy step or impossible. Let’s take a look at problem complexity, scalability to our problem size.

Tactical planning serves the goal of continuous improvement. To achieve this mathematical optimization does not only provide the best set of decisions, but also an evaluation of how much a decision is worth. In this episode we explain, how it works.