Name of the participant: Sebastian Volpert
Description of the IT-research project: Today’s business world is characterized by increasing complexity and dynamics, which is reflected in particular in fluctuating demand for highly individualized products. To meet this individual demand, companies must develop innovative solutions that are able to meet customer requirements in a timely and cost-effective manner.
One answer to these challenges is the Industry 4.0 idea, which stands for a further development of the industrial production and value-added chain both through higher internal and inter-company networking. This vision will be realized through the use of cyber-physical systems (CPS), which digitally map the physical world and turn the classic factory into a Smart Factory.
Indoor localization systems, which build a bridge between the physical and the digital world by localizing physical objects, are a variant of the CPS mentioned above. This project is concerned with the analysis of position data from such indoor localization systems with the aim of increasing transparency in the process, material and information flows of intralogistics. The project focuses on the determination of throughput times in (metal) production from available position data of a localization system. In addition, the project investigates the integration of further available data sources in the company, which in combination with the position data allows a subdivision of throughput times into granular time components, as well as the involvement of users through interaction with a localization system. The research project also determines the inclusion and consideration of current and necessary data protection regulations.
Software Campus partners: FAU, Trumpf
Implementation period: April 2020 – Januar 2021