Our blog posts
Mathematical optimization for the parcel industry
Today’s parcel service providers face a multitude of complex challenges for which mathematical optimization can be the solution. We show you how!
Insights: The logistical miracle of Santa Claus
If you take a closer look at the story of Santa Claus, you will notice that it has a lot to do with logistics. That’s why today we’d like to take a closer look at the tale from the perspective of an optimizer.
Insights: Who supplies whom?
Two important questions in production network planning are: Who produces what and who supplies whom and how? Sounds simple? Well, it isn’t. Because the devil is in the details.
Interview: Version 3 – OPTANO software solution for network optimization
In this interview, Lovis Anderson, Product Owner, talks about the new version of the OPTANO software solution for network optimization.
Interview: Getting the optimum out of distribution networks
Dr. Dominik Hollmann, Head of Products at OPTANO GmbH explains how businesses can get the optimum out of thei distribution networks
Insights: Protecting supply chains from climate change
Climate change has an ever greater impact on supply chains. Which measures are required to make them more secure?
Our vlog posts
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.
Inventory management always seems to be trade-off between reliable production and low stock levels. By using mathematical optimization, you can have both at the same time.
Most companies are already aware of the potential for improvement. But how can optimization potential be identified and quantified? This is where optimization comes in and helps to replace gut feeling with numbers.
We like to treat solvers as magical black boxes, but it’s worth understanding their basic principle. In this episode, find out more about how solvers can be used to find our optimum incredibly fast.
A good set of data is the core of every optimization project. But why is so crucial, to use real data already when still implementing the software? Let us share some insights we gained on data during our optimization projects.
Creating tournament schedules seems simple, but in practice it can be quite complex. It’s also a great example of optimization. Learn more about the details and tricks of creating tournament schedules in this episode.
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