Application of Data Mining for Prospective Assembly Time Determination

September 5, 2017

Application of Data Mining for Prospective Assembly Time Determination

Speaker: Dr. Olga Erohin & Ralf Kretschmer, Miele

When algorithms and solutions have been verified in laboratory environments, it’s time to pave the way for their real field application. Here Optilink® becomes a product with interesting perspectives. Starting with a bottom-up approach, Optilink® is a tool chain to acquire, transmit, and analyze huge amounts of real-time- and historical-data of machinery in a safe and scalable cloud environment. Automated feature extraction is possible by the use of time- and data-driven events. This talk will present the tool chain, underlying concepts, and some examples for applications.

Roger Feist

Head of Automation, Achenbach Buschhütten

Roger Feist studied electrical engineering at the Tech- nical University of Dortmund. After graduating in 1991, he worked as a developer for rolling-mill automation software, later for robotics simulation software. 2005 he became functional safety expert for TÜV Nord until he decided to return to his first employer in 2009. In his current position he is responsible for the automa- tion of rolling-mills at Achenbach Buschhütten. He is a passionate promoter of model-based development and virtual commissioning. Since 2015 he is strongly engaged in the development of cloud-based solutions.


Download the talk: here