AI-Augmented Model-Based Systems Engineering
Abstract The increasing complexity of modern technical systems necessitates innovative approaches such as Model-Based Systems Engineering (MBSE). In this context, using Artificial Intelligence (AI) emerges as a key enabler for practical application and efficiency improvement. This article introduces a maturity model for AI-based assistance systems in MBSE. It helps companies assess their current automation level in MBSE activities, providing a foundation for strategic planning of process improvements.
Authors
- Denis Tissen
- Roman Dumitrescu (ORCID: https://orcid.org/0009-0009-6877-740X)
- Fabian Hanke
- Ruslan Bernijazov
- Lydia Kaiser (ORCID: https://orcid.org/0000-0003-2268-6392)
- Oliver von Heißen
Institutions
- Paderborn University (DE)
- Einstein Center Digital Future (DE)
- Fraunhofer Institute for Mechatronic Systems Design (DE)
- Technische Universität Berlin (DE)
Publication Details
- Journal
- Zeitschrift für wirtschaftlichen Fabrikbetrieb
- Published
- 2025-03-20
- DOI
- https://doi.org/10.1515/zwf-2024-0123
- Citations
- 1
- Primary Topic
- Systems Engineering Methodologies and Applications
- Type
- article
- Field-Weighted Citation Impact
- 1.21