Supply chain resilience became a new buzzword – but it is here to stay. We show you how to make your supply chain more resilient.
Optimized capacity planning can improve chemical manufacturing processes. We explain how mathematical optimization tools can help.
It is not always easy to make the right decision. However, algorithms and math can support us. We demonstrate how!
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.
What does a typical working day at OPTANO look like? Accompany our colleague Kerstin Bause for a day and find out.
How the deployment of predictive and prescriptive analytics can contribute towards efficient inventory management.
“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.
Sometimes optimization specialists combine different existing techniques to tackle a new type of problem. This is the case for flow network analysis and the facility location problem by combining them to flow location networks. Let’s see how that works and what can be solved this way.
Is supply chain transformation a way towards differentiation in the highly competitive environment of the chemical industry?
Optimization and Machine Learning can enhance each other and demonstrate what their combined strength can achieve. A perfect example of this is linear regression. We show you how this works and what you can do with it in this episode.
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