Making the New Production Work

The Ramp-Up Factory supports small and medium-sized companies in particular with its technical equipment and know-how in the start-up and production of small series. Our focus here is on (electric) vehicles. With an infrastructure for body construction, assembly lines as well as end-to-line test fields and our expertise in the field of production processes and analytics, we bring prototypes to market maturity under series-like conditions. As part of the
Production Engineering Cluster on RWTH Aachen Campus, we dedicate ourselves to specialist trend topics with our network of experts from science and industry and advise you on how you can achieve your goals with new technologies in production.

News

27.06.2025 | Rollout 2025 by Team Sonnenwagen: A Step into the Future of Solar Energy

On May 26, 2025, Team Sonnenwagen presented their latest solar race car at a professionally staged rollout event at the LIEBIG in Aachen. The…

13.05.2025 | Announcment: AI Week at the Ramp-Up Factory

Dive into the fascinating world of Industry 4.0 on May 23, 2025, and discover how artificial intelligence is revolutionizing welding processes! As part of…

09.05.2025 | Announcement: IGO3D Roadshow Event

On May 15, 2025, our cooperation partner IGO3D will present the latest innovations in the field of 3D printing at the Anlauffabrik. Experience live…

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Efficient small-batch production for electromobility

In the research project “Production efficiency in small series” (ProeK), novel practice-oriented technical solutions were researched in order to be able to produce small series in the future field of electromobility as cost-effectively, efficiently and flexibly as possible. The scope of the body sub-project was investigated in a practical manner in the flexible robot cell and the laser welding cell in order to be able to map the increase in efficiency in the production of essential components. On the one hand, the approach of jigless joining by means of so-called component-integrated jig functions was considered and, on the other hand, the data-driven quality process optimization by means of a supervised learning approach in machine learning.

The project partners involved include StreetScooter, e.GO, the LBBZ and FH Aachen University of Applied Sciences. Learn more about the project here

Anlauffabrik/Bergweiler