Work

AI-Augmented Model-Based Systems Engineering

Year: 2025

Type: article

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.

Source: Zeitschrift für wirtschaftlichen Fabrikbetrieb

DOI: 10.1515/zwf-2024-0123

Authors: Ruslan Bernijazov, Roman Dumitrescu, Fabian Hanke, Oliver von Heißen, Lydia Kaiser, Denis Tissen

Institutions: Paderborn University, Fraunhofer Institute for Mechatronic Systems Design, Einstein Center Digital Future, Technische Universität Berlin

Language: English

Topic: Systems Engineering Methodologies and Applications

Subfield: Control and Systems Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: hybrid

Estimated APC paid: $2,712