Prof. Dr.-Ing. Jan C. Aurich
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Prof. Jan C. Aurich, born in 1964, studied mechanical engineering with a focus on production technology at Leibniz Universität Hannover and Colorado State University, Ft. Collins, USA.
From 1990 to 1995, he was a research associate at the Institute of Production Engineering and Machine Tools (IFW) at the University of Hannover. He headed the "CAD/ CAPP" department from 1993 to 1995. From 1995 to 2002, Prof. Aurich held various management positions in manufacturing and design at Daimler AG.
Prof. Aurich is a member of the German Academic Association for Production Technology (WGP) and the National Academy of Science and Engineering (acatech), as well as a Fellow of the International Academy of Production Engineering (CIRP). Since 2002, he has headed the Institute of Manufacturing Technology and Production Systems (FBK) at RPTU Kaiserslautern-Landau. From 2013 - 2014 he was a Fulbright Visiting Professor at the University of California, Davis, USA.
Contact
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Prof. Dr.-Ing. Jan C. Aurich
University of Kaiserslautern-Landau
Department of Mechanical and Process Engineering
Manufacturing Technology and Production Systems
Building 42, Room 466
Gottlieb-Daimler-Str.
67663 Kaiserslautern
0631 205 2618
fbk@mv.rptu.de
Prof. Dr.-Ing. Jan C. Aurich
0631 205 2617
Publications
Basic Research
The use of artificial intelligence methods is addressed in several FBK research fields. The main focus is on the research area Digital Technologies for Production Systems, which focuses on investigating how machine learning algorithms can be used to increase the efficiency of production processes. One example is the planning phase of production systems, in which reinforcement learning is used to design process-efficient factory layouts. Furthermore, research is being conducted into how the resilience of production systems to crises and sudden events can be increased with machine learning. Likewise, a merging of machine learning algorithms with physics-based simulation models of production processes is taking place in order to achieve the synergetic use of the advantages of both technologies.
Furthermore, the application of machine learning in manufacturing is a focus of basic research. This makes it possible to predict the wear of cutting tools. Likewise, additive manufacturing focuses on the detection and mitigation of quality problems by evaluating image and process data.
In the research field of sustainability in production, the prediction of the energy consumption of production system elements under certain operating conditions forms the application object of machine learning.
Application related Research
Application-oriented research is seen as a seamless continuation of basic research and is based on fundamental results with a high degree of application maturity. Thus, applications of artificial intelligence are investigated in relation to the requirements of specific industries with regard to their practical implementation. This is demonstrated, for example, by a project with manufacturers in the commercial vehicle industry. Other application-oriented joint projects with industry are concerned with the use of machine learning in machining processes (e.g. for predicting wear) and with the automation of process planning in manufacturing. Furthermore, it is being investigated how machine tools will be able to communicate with operators via voice commands in the future.
An important contribution to the application of artificial intelligence in manufacturing companies is not only the algorithmic implementation, but also the qualification of employees and the targeted development of AI-based business models. FBK offers a broad portfolio of training events on these topics.
Activities as Editor
since 2023 Editorial Board Member, CIRP Annals – Manufacturing Technology (Elsevier)
since 2022 Advisory Board Member: Zeitschrift für Wirtschaftlichen Fabrikbetrieb (Hanser)
since 2017 Associate Editor, CIRP Journal of Manufacturing Science and Technology (Elsevier)
since 2015 Editorial Board Member: Production Engineering – Research and Development (Springer)
Activities as a Reviewer
since 2003 Reviewer for the German Research Foundation (DFG)
2008 – 2014 Grants Committee member for the DFG’s Special Research Areas
since 2012 Reviewer for the Swiss National Science Foundation (SNSF)
2016 - 2020 Review Board Member in the DFG’s area of manufacturing systems
since 2017 Evaluation Committee Member of the German Science Council
since 2017 Panelist and Reviewer, United States National Science Foundation (NSF)
Existing Memberships
since 2023 Member of the internal Research Council, RPTU
since 2019 Scientific Speaker of the Research Facility „Laboratory for Ultra-Precision and Micro-Engineering (LPME)“
since 2017 Member of the Evaluation Committee, German Council of Science and Humanities
since 2017 Advisory Board Member, Application Center Industry 4.0 Potsdam
since 2017 Panelist and Reviewer, United States National Science Foundation (NSF)
2017 – 2020 Speaker of the “Center for Physical Modeling and Simulation in Production, Process, and Materials Engineering” at TU Kaiserslautern
(funded by Carl Zeiss foundation)
2015 – 2019 Member of the Nomination Committee for the Gottfried Wilhelm Leibniz Prize of DFG
since 2014 German National Academy of Science and Engineering (acatech)
Member (since 2014), Speaker of the Thematic Network Product design and production (2017-2020)
2014 – 2018 Member of the University Council, TU Kaiserslautern
2014 - 2023 Speaker of DFG’s International Research Training Group IRTG 2057 „Physical Modeling for Virtual Manufacturing Systems and Processes”
2011- 2023 Deputy speaker Sprecher of the Collaborative Research Centre SFB 926 „Microscale Morphology of Component Surfaces“
2008 – 2014 Member of the senate committee for DFG’s Collaborative Research Centres
2007 – 2011 Board member of the VDI local chapter Nordbaden-Pfalz
2007 – 2011 Speaker of the steering committee of the interdisciplinary Center for Commercial Vehicle Technology at TU Kaiserslautern
since 2005 German Academic Association for Production Technology (WGP)
Member (since 2005), President (2012 – 2013), Member of the presidential committee (since 2014) and
Speaker of the Presidential Committee (2014 – 2015)2005 – 2008 Dean of the Department for Mechanical and Process Engineering at
TU Kaiserslautern, Member of the Senate of TU Kaiserslautern
since 2004 International Academy for Production Engineering (CIRP)
Associate Member (2004 – 2009), Fellow (since 2009),
Chairman of the Scientific Technical Committee „Abrasive Processes” (2014 – 2017), Council Member (2018 - 2022)
Received Awards, Prizes, Honors
1984 - 1990 Fellow of „Studienstiftung des Deutschen Volkes“
1988 - 1989 Fulbright-Fellow, Colorado State University, Ft. Collins, USA
1997 Taylor-Medal (outstanding young researcher award) of the International Academy for Production Engineering (CIRP)
2006 - 2015 Visiting Professor at Cranfield University, England
2013 - 2014 Fulbright Visiting Scholar, University of California at Davis, USA
Special Expertise
Basic Research
- Machine Learning (ML): Reinforcement Learning (RL), Anomaly Detection, Feature Engineering/Feature Extraction, Genetic Algorithms (GA)
- Robotics: Human-Robot Collaboration