Factory X - The Digital Ecosystem
FACTORY-X aims to overcome the stagnation of digitalization efforts in European manufacturing by creating a secure, interoperable data infrastructure. The project enables companies across industries—automotive, aerospace, and industrial production—to share data without sacrificing sovereignty, scale beyond pilot phases, and monetize data assets. Through eleven application-focused use cases, it drives real-world business solutions and fosters innovation across entire supply networks.
Our research in this consortium focuses on interconnecting models across different silos, stakeholders, and companies such that changes across these can be analyzed and propagated.
Publications
- Kimmel, R., Michael, J., Wortmann, A., & Zhang, J. (2025). Digital Twins for Software Engineering Processes. In 2025 IEEE/ACM 47th International Conference on Software Engineering: New Ideas and Emerging Results (ICSE-NIER) (pp. 16-20). IEEE.
- Ajdinović, S., Maisch, N., Kimmel, R., Rasouli, T., Lechler, A., Wortmann, A., & Riedel, O. (2025). AI-Powered Semantic Matching and Data Harmonization for Industrial Applications with OPC UA & Asset Administration Shells. In 2025 The 16th International Conference on Mechanical and Intelligent Manufacturing Technologies (ICMIMT) (pp. 248-252). IEEE.
- Kimmel, R., Pfeiffer, J., Zhang, J., & Wortmann, A. (2024). Large Language Model Based Agents for Generating Industrial Dashboards. In Congress of the German Academic Association for Production Technology (pp. 525-532). Cham: Springer Nature Switzerland.
The complete list of publications is available from my publications website.
Info
- Funded by the Bundeswirtschaftsministerium für Wirtschaft und Energie (BMWE) of Germany.
- Project Website