Heuristics – is this just another buzzword? Why is it used so often when talking about optimization and what does it have to do with pizza? We explain what a heuristic is and how it works.

Simulation and optimization are two terms that are often used almost synonymously. Yet they are two fundamentally different techniques. Our new episode “One more thing about…” explains the difference.

Optimization projects are complex and for our customers every optimization project is a journey into unknown territory. That’s why we divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After we have built a prototype in phase 1 and the Minimum Viable Product in phase 2, now comes the freestyle: all additional wishes and requirements are built in.

Optimization projects are complex and for our customers, every optimization project is a journey into uncharted territory. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. After the prototype in the last video, let’s see why we have phase 2 for the minimum viable product.

Optimization projects are complex. How can we make sure, that our projects are going in the right direction? We divide our projects into 3 phases: the prototype, the minimum viable product and the fully productive product. Let’s see what the first phase is about and what we achieve with it.

“What can we do, to perform better?!” Learn how you can find the answer using prescriptive analytics in our new episode of One more thing about…

Life – and planning in particular – would be so much easier if we knew in advance what was going to happen in the future. Of course, that’s not possible. But with predictive analytics, we come pretty close, at least for our planning questions.

“What would actually happen if…?” – We have certainly all asked ourselves this question not only once. For planning problems it has a very special relevance and with What-If Scenarios we find the answer.

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.