How to ensure the reliable and cost-effective production and distribution of renewable energy with mathematical optimization.
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-if scenarios are a highly effective tool to manage uncertainty in supply chain planning and facilitate decision-making.
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?
Supply chains for chemicals are as complex as the industry itself. Optimization procedures can make these more resilient.
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.
OPTANO GmbH
Technologiepark 18
33100 Paderborn
fon +49 5251 68220-0
fax +49 5251 68220-90
powered by Borlabs Cookie