Dürr wins Microsoft Intelligent Manufacturing Award

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“What is impressive about Dürr’s solution is the degree of maturity with which the AI is already working and anomalies are being predicted. With the help of this technological development, enormous cost savings can be achieved.” - Jury Member Prof. Dr. Oliver Niggemann from the Institute of Automation Technology at Helmut Schmidt University

March 2022 : Dürr has been chosen as the overall winner of the Microsoft Intelligent Manufacturing Award for the software products of its DXQanalyze range. The smart software collects available production data and evaluates them in order to be able to develop suitable measures to optimize production operations. With the help of artificial intelligence (AI), the software is able to derive unknown correlations and patterns and detect possible errors in advance.

The Microsoft Intelligent Manufacturing Award (MIMA), which Microsoft Germany awards together with the Roland Berger management consultancy, honors companies that make a valuable contribution to the future of industry through innovative ideas and solutions. The award is presented in five categories. An additional award is presented to one company that can convince across all categories. This year, Dürr has been chosen as the overall winner for its DXQanalyze software products. “Winning the Microsoft Intelligent Manufacturing Award not only makes us very proud, but also strengthens our vision of a completely digitalized paint shop,” says Dr. Jochen Weyrauch, CEO of Dürr AG.

Collect, evaluate, predict: The products of the DXQanalyze range collect and evaluate available machine and plant data such as process and workpiece information. Possible quality defects in workpieces as well as the threat of wear on plant components can already be detected at the point of origin and appropriate measures can be derived. In conjunction with machine learning, large amounts of data, including historical data, can be used to continuously make accurate forecasts for the future.

Thanks to the machine learning process, the software products are able to detect and predict wear on components and anomalies in production systems. DXQanalyze provides system-specific and usage-dependent information and can thus, for example, predict the remaining service life of system components.

Contribution to digitalization inspires jury across all categories: In a multi-stage selection process, DXQanalyze impressed the jury across all categories: “What is impressive about Dürr's solution is the degree of maturity with which the AI is already working and anomalies are being predicted. With the help of this technological development, enormous cost savings can be achieved. Failures of production systems are reduced along with material rejects,” says jury member Prof. Dr. Oliver Niggemann from the Institute of Automation Technology at Helmut Schmidt University/University of the Federal Armed Forces in Hamburg, praising the smart software.

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