Topic: Big Data and AI in the Maisach Digital Factory at EOS

Speaker: Jeffrey Davis, Senior Data Scientist, EOS GmbH, Munich, Germany

As part of the German government’s Industry 4.0 initiative, smart factories are the basis for optimized, efficient manufacturing. Smart factories combine decentralized automated processes with continuous process monitoring using sensor data. Recent advances in data lake technology have made the gathering and long term storage of this sensor data cost effective and reliable. Making use of that data, however, is a difficult and obtuse process. Outside of carefully controlled experiments, it is nearly impossible to regularly search hundreds of gigabytes of sensor data to look for outliers or unexpected behavior. The attribution of defects in manufactured part quality to any single step of a long manufacturing process is equally problematic, since the decentralization inherent to smart factories makes the process almost unique for any individual part. It seems that the solution is always to acquire more data, but the longer data gathering takes, the less likely it is that the factory can quickly react to changes in the manufacturing environment. These major challenges and the solutions being investigated by EOS at the digital factory in Maisach, Germany will be discussed in the context of a virtual tour of our metals and polymer digital cells.

Bio

Jeffrey Davis is the senior data scientist at EOS GmbH in Munich, Germany. After completing his bachelor’s and master’s degrees in civil engineering at Clemson University, he began his career as a research engineer at the National Institute of Standards and Technology. After 8 years specializing in the applications of machine learning in analytical chemistry research, he went on to work for a semiconductor company in Munich for five years. There he specialized in using AI to improve semiconductor production and identify manufacturing defects as early as possible. For the past two years, Davis has been working as part of the digital manufacturing team at EOS. His present work focuses on monitoring the processes of additive manufacturing devices to improve stability, part quality and the efficiency of maintenance activities. Davis lives with his wife and two children in the village of Glonn, where he is also the Braumeister of the town brewery.

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