Center for Applied Research on Supply Chain Services at Fraunhofer IISSolving complex planning problems by means of mathematical optimization requires only a little brooding, pen and paper, and later a computer. With these simple means, it is possible to develop optimization solutions that can often save companies hundreds of thousands of euros. For this purpose, it is necessary to bring new solution approaches of classical optimization, machine learning as well as the novel quantum computing into the application as sensibly as possible.
With these methods, Markus Weissenbäck and his team not only provide opportunities for cost savings, but also make a significant contribution to sustainability. Optimized planning is a key to efficient resource utilization in industrial processes. In this field, Markus Weissenbäck's research focus is on the packaging industry, specifically optimization for closing the loop of plastic packaging.