Microsoft Intelligent Manufacturing Award Winners

Microsoft Intelligent Manufacturing Award (MIMA) honors creative and innovative digital solutions that are paving the way for a new, transformative generation of manufacturing. Participants were asked to submit innovative projects in the sphere of production, purchasing, supply chain management, engineering and operations.

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

Using the motto ‘Bring Data to Value’, applicants competed in five categories (Innovate!, Scale, Add Value, Envision, and Sustainability) to demonstrate their innovative excellence. Once an initial selection round narrowed down the entries, a select group of finalists presented their projects during a virtual pitch day via Microsoft Teams. Finally, the MIMA advisory board, acting as the award jury , chose one winner per category plus an overall winner. “Our award ceremony is a barometer for the latest developments in the manufacturing industry and tracks down the best solutions.” said Gleisberg.

Use of Artificial Intelligence in malfunction analyses

Dürr Systems AG was able to secure the overall victory through the use of artificial intelligence (AI) in industrial production facilities. With its DXQanalyze solution, production data can be evaluated at both machine and factory level to identify anomalies and establish correlations across numerous production steps. This can prevent machine downtime and reduce scrap, as demonstrated by the example of large paint shops for automotive manufacturers.

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 effectiveness of paint shops.

“Collect, evaluate, predict – our digital products aim to increase overall equipment effectiveness, and the DXQanalyze-Product family is an important component in this,” says Dr. Jochen Weyrauch, CEO, Dürr. “Using machine learning, the software detects impending wear as well as anomalies and derives suitable measures. Winning this award not only makes us very proud, but at the same time reinforces our vision of a fully digitized paint shop.”

For more information: www.rolandberger.com

 

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