AI‐Supported Engineering Automation Through Integrated Systems Modeling With SysML v2: A Use Case Showing Challenges and Opportunities in Modern Mechatronic System Development
Schalk G, Dreier M, Tatschl M, Hemmeter Y, Kollegger S, Götz S, Wartzack S, Hick H (2026)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2026
Original Authors: Gerolf Schalk, Mathias Dreier, Michael Tatschl, Yannick Hemmeter, Stefan Kollegger, Stefan Goetz, Sandro Wartzack, Hannes Hick
Publisher: Wiley
Edited Volumes: Beyond Digital Engineering: Seeking Wa in Systems Engineering
Series: INCOSE International Symposium
Book Volume: 36
Pages Range: 875-894
Issue: 1
Journal Issue: 1
DOI: 10.1002/iis2.70170
Abstract
Despite decades of progress in digital engineering and approaches such as model-based systems engineering (MBSE), system development remains largely manual, document-driven, and prone to inconsistencies. Engineering data across different development stages is often captured in fragmented artifacts and heterogeneous digital tools, limiting traceability and hindering the establishment of continuous digital threads. As a consequence, engineering automation and data-driven decision-making are only partially realizable, particularly in system development phases where initially vague specifications must be translated into concrete technical solutions.
This paper proposes a model-centric automation architecture that addresses these challenges by integrating MBSE, the revised Systems Modeling Language (SysML v2), and engineering agents assisted by artificial intelligence (AI) into a coherent engineering ecosystem. The automation architecture positions the system model as a central digital backbone that consolidates system information across requirements engineering, SysML v2-based system modeling, quantitative analysis and optimization, and design synthesis in a machine-interpretable form. Through SysML v2's standardized services, system models become accessible to automation techniques, enabling consistent data exchange across disciplines.
A key contribution of this work is the conceptual demonstration of how customer needs can be transformed into viable technical solutions while preserving comprehensive traceability. The feasibility of the proposed approach is shown through an automated design use case for a multirotor unmanned aerial vehicle as a representative mechatronic system. The approach is evaluated within the industry-oriented, end-to-end engineering environment of the Digital Lifecycle Lab at Graz University of Technology. The results illustrate how several tasks of system development can be supported or automated when system knowledge is consistently formalized and made computationally accessible. The paper also discusses the implications of model-centric automation and positions SysML v2 as a key enabler for AI-ready engineering workflows, providing a transferable blueprint for future automation initiatives across the system lifecycle.
Authors with CRIS profile
Yannick Hemmeter
Chair of Engineering Design (KTmfk)
Stefan Götz
Chair of Engineering Design (KTmfk)
Sandro Wartzack
Chair of Engineering Design (KTmfk)
Involved external institutions
Austria (AT)How to cite
APA:
Schalk, G., Dreier, M., Tatschl, M., Hemmeter, Y., Kollegger, S., Götz, S.,... Hick, H. (2026). AI‐Supported Engineering Automation Through Integrated Systems Modeling With SysML v2: A Use Case Showing Challenges and Opportunities in Modern Mechatronic System Development. In Beyond Digital Engineering: Seeking Wa in Systems Engineering. (pp. 875-894). Wiley.
MLA:
Schalk, Gerolf, et al. "AI‐Supported Engineering Automation Through Integrated Systems Modeling With SysML v2: A Use Case Showing Challenges and Opportunities in Modern Mechatronic System Development." Beyond Digital Engineering: Seeking Wa in Systems Engineering. Wiley, 2026. 875-894.
BibTeX: Download