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.

Life is for learning and we all try to continuously improve and learn from our mistakes. In a company that really works together as a team, we can also benefit from the experience of others. Learning together and getting better together – continuous improvement can achieve this.

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.