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Towards Automating Model-Based Systems Engineering in Industry - An Experience Report
Publication Type:
Conference/Workshop Paper
Venue:
The 18th Annual International Systems Conference
Abstract
Designing modern Cyber-Physical Systems (CPSs)
is posing new challenges to both industrial practitioners and
academics. In this context, adopting cutting-edge paradigms,
such as Model-Based Systems Engineering (MBSE), DevOps,
and Artificial Intelligence (AI), can offer new opportunities for
improving CPS design automation. While such paradigms are
already jointly used in the research community to support system
design activities, there is a need to fill the gap between academia
and industrial practitioners. Indeed, system specification is still
mainly performed manually in many industrial projects. In
this paper, we present a collaboration between industrial and
academic partners of the AIDOaRt European project towards
a model-based approach for CPS engineering at Volvo Con-
struction Equipment (VCE). We identify key challenges and
corresponding solutions to enhance the automation of CPS design
processes. Notably, we consider a combination of prescriptive
modeling, model transformations, model views, modeling process
mining, and AI-based modeling recommendations. As an initial
evaluation, the proposed approach is applied to a practical
industrial case study from VCE.
Bibtex
@inproceedings{Cederbladh6883,
author = {Johan Cederbladh and Luca Berardinelli and Damir Bilic and Hugo Bruneliere and Antonio Cicchetti and MohammedHadi Dehghani and Claudio Di Sipio and James Miranda and Abbas Rahimi and Riccardo Rubei},
title = {Towards Automating Model-Based Systems Engineering in Industry - An Experience Report},
month = {April},
year = {2024},
booktitle = {The 18th Annual International Systems Conference},
url = {http://www.es.mdu.se/publications/6883-}
}