Mollahassani D, Becker M, Eickhoff T, Pickel J, Götz S, Wartzack S, Göbel JC (2025)
Publication Language: English
Publication Type: Conference contribution, Conference Contribution
Publication year: 2025
Publisher: Cambridge University Press
Series: Volume 5: ICED25
City/Town: Cambridge
Pages Range: 1883-1892
Conference Proceedings Title: Proceedings of the Design Society
The development of interdisciplinary Smart Products involves complex architectures and processes, which results in new challenges like managing heterogeneous and unstructured data causing inefficiencies. Model-Based Systems Engineering (MBSE) addresses these issues through precise system modeling but encounters obstacles like a lack of model reuse and complexity. This paper introduces a novel framework integrating Artificial Intelligence into MBSE to enhance sustainability and circularity by automating model generation and reusing existing system models. Using ontology-based knowledge management and large language models, model creation, interoperability, and decision-making can be enhanced and automated and visualized in real-time. The framework's capabilities and benefits are demonstrated through the instantiation of a wireless charger system example.
APA:
Mollahassani, D., Becker, M., Eickhoff, T., Pickel, J., Götz, S., Wartzack, S., & Göbel, J.C. (2025). Framework for circular AI-driven model-based systems engineering. In Design Society (Eds.), Proceedings of the Design Society (pp. 1883-1892). Dallas, US: Cambridge: Cambridge University Press.
MLA:
Mollahassani, Damun, et al. "Framework for circular AI-driven model-based systems engineering." Proceedings of the 25th International Conference on Engineering Design (ICED25), Dallas Ed. Design Society, Cambridge: Cambridge University Press, 2025. 1883-1892.
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