May 17, 2022

Microsoft Intelligent Manufacturing Award Winners – Metrology & Quality News

This year, Roland Berger and Microsoft have received many outstanding submissions from DACH companies (Germany, Austria and Switzerland) that are leading the way to strengthen the role of digitalization, sustainability, adaptability and more in the world of the making. MIMA recognizes the tireless work and groundbreaking solutions that these companies have come up with. “We are delighted that so many applications have arrived this year that focus on artificial intelligence and machine learning. After all, this is the future of manufacturing,” said Jochen Gleisberg, Senior Partner Operations at Roland Berger.

Under the tagline “Bringing Data to Value,” contestants competed in five categories (Innovate!, Scale, Add Value, Envision, and Sustainability) to demonstrate innovation excellence. After a first round of selection narrowed down the applications, a select group of finalists pitched their projects in a virtual pitch day via Microsoft Teams. Finally, the MIMA Advisory Board, acting as the jury for the award, chose one category winner plus one overall winner. “Our awards ceremony is a barometer of the latest developments in the manufacturing industry and seeks the best solutions.” noted Glisberg.

Use of Artificial Intelligence in dysfunction analyzes

Dürr Systems AG was able to achieve the ultimate victory through the use of artificial intelligence (AI) in industrial production facilities. With its DXQanalyze solution, production data can be evaluated at the machine and plant level to identify anomalies and draw correlations between numerous production steps. This can prevent machine downtime and reduce scrap, as the example of large paint shops for car manufacturers shows.

The aim is also to detect previously unknown sources of error in combination with historical data and machine learning and to derive optimization measures for production operations. Dürr Systems AG thus offers one of the first market-ready solutions with AI capable of increasing the overall plant efficiency of paint shops.

“Collect, assess, predict – our digital products aim to increase overall equipment efficiency, and the DXQanalyze product family is an important part of this,” says Dr. Jochen Weyrauch, CEO of Dürr. “Using machine learning, the software detects impending wear as well as anomalies and derives appropriate action. Winning this award not only makes us very proud, but at the same time reinforces our vision of a fully digitized.

For more information: www.rolandberger.com