“Let’s use the cloud to solve it faster…” Sounds easy, but does it really meet the expectations when it comes to solving optimization problems? It actually can, but there are some aspects to think about before and we show which ones they are.

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.

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.