Publicly funded research projects

Examiniation of the opportunities and challenges arising at the intersection of AI and blockchain, as well as examining resulting production networks. The diverse research areas are elicited in the three labs, the Machine Economy Lab (MEL), the Digital Ecosystems Lab (DEL) and the Digital Innovation Lab (DIL).

Ecosystem for COllaborative Manufacturing PrOceSses – Intra- and Interfactory Integration and AutomaTION

Within the framework of the research project “Data-Based Services for Industrial Enterprises” (DaSIe), innovative analytics solutions and data-based business model innovations are being developed with the help of an overarching research and development approach. This will enable Bavarian companies to further increase their competitiveness in increasingly digitalized, global value-added networks.

Within the framework of the new ESF project “Digital Transformation Workshop”, an interdisciplinary research team at the University of Bayreuth creates and establishes knowledge transfer networks for the qualification of employees as an instrument for the dynamic further training of workers.

Together with its project partners – under the technical direction of Professor Dr. Torsten Eymann (BF/M, Bayreuth), Prof. Dr. Dr. h.c. Günter Müller (Uni Freiburg, IIG Telematik) and Dipl.-Inf. Martin Jurisch (AristaFlow GmbH, Ulm) – the aim is to support small and medium-sized enterprises in the secure introduction and use of eBusiness standards.

The aim of the research project Hospital 4.0 is the further development of innovative logistics systems in hospitals by using existing digital technologies. Within the framework of the two reference processes, warehouse logistics and bed logistics, a reference model of the vision Hospital Logistics 2030 is being developed as well as pilots that are to demonstrate the potential of digitalisation.

In the research project VABA 4.0, the Project Group Business & Information Systems Engineering develops an IT tool that supports small and medium-sized businesses in the introduction of Industry 4.0.The created tool selects suitable technologies and helps to derive, evaluate and analyze an introduction and migration strategy.

As part of the project “Wissenschaftscampus E-Commerce” (Science Campus E-Commerce), the Project Group Business and Information Systems Engineering of the Fraunhofer Institute for Applied Information Technology FIT and three other scientific partners (Fraunhofer Institute IIS, University of Bayreuth, Coburg University of Applied Sciences and Arts) are striving to establish and perpetuate five innovation laboratories along the e-commerce value chain.