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Presenter: Prof Reimund Neugebauer, Fraunhofer Gesellshaft, Germany
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Industrie 4.0 is about real-time data-exchange between cyber-physical systems with the overall goal to increase productivity, quality and flexibility while lowering costs for personalized products and processes.
Enablers for Industrie 4.0 are advances in computer, network and sensing technologies. The transformation will further progress over the next decades in face of new technologies, innovations and infrastructural settings and enable new kinds of products and business models. The ultimate vision for the factory of the future is based on the smart and digital connection of machines, robots and 3D-printers, products, sensor systems, resource infrastructures, logistics systems and ordering platforms together with humans, cloud systems, intelligent assistants and the internet. Hence, the total sourcing, production, retail, delivery and recycling processes will be regarded as a unified organism.
An essential component for this is a Network of Trusted Data in which secure data exchange is possible. In this context Fraunhofer pursues the project Industrial Data Space. It intends to make use of Big Data while ensuring a high standard of data security for the participating industries. The approach is realized by sharing data across industries such as banking, insurance or the automotive sector. This taps potential in a horizontal direction. Thus, companies will be in a position to achieve new added value resulting in totally new business models. Within the Industrial Data Space all data remain with their owners and will be linked and shared in a controlled and protected manner only if required for providing a service. There is no centralized platform.
The new and high degree of digitization requires sophisticated technologies in many areas. These include research and development for e.g. novel forms of cyber security, networks and fast connectivity (5G and beyond) for low latency tactile internet, computing and processing solutions, sensor integration and Machine Learning. Innovative project examples from these research areas will be shown in the presentation.
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Prof. Reimund Neugebauer was born in Thuringia, Germany, on June 27, 1953. He graduated from the Technische Universität Dresden (TUD) in 1979 with a degree in me-chanical engineering. From 1979 to 1984, he was a scientific associate and a senior sci-entific assistant at TUD, where he received his doctorate in 1984 and gained the post of professor in 1989. In 1991, he became director of the Fraunhofer Institute for Machine Tools and Forming Technology IWU with locations in Chemnitz, Dresden, Augsburg and Zittau. In 1993 he was appointed chair of the Machine Tools department at the Tech-nische Universität Chemnitz (TU Chemnitz) and in 2000 he became managing director of TU Chemnitz’s Institute of Machine Tools and Production Processes. On October 1, 2012, he took up the post of president of the Fraunhofer-Gesellschaft. Prof. Neugebauer is a Fellow of the International Academy for Production Engineering (CIRP) and a member of the National Academy of Science and Engineering (acatech). From 2010 to 2011 he was the president of the German Academic Society for Produc-tion Engineering and since 2014 he has been a member of Leopoldina – the German National Academy of Sciences. This year, Prof. Neugebauer was appointed co-chair of the German federal government’s High-Tech Forum, an advisory board for the develop-ment of Germany’s research and development policy. As a member of the acatech Inno-vation Dialogue steering committee, the Fraunhofer president engages with Chancellor Merkel and other government representatives as well as with high-ranking representa-tives of science, industry and society on issues of future innovation policy. He is also on the executive board of the newly established “Plattform Industrie 4.0”, an alliance of representatives from politics, industry, associations, science and trade unions.