Flow Heuristics for Functional Modelling in Model-Based Systems Engineering
Year: 2023
Editor: Kevin Otto, Boris Eisenbart, Claudia Eckert, Benoit Eynard, Dieter Krause, Josef Oehmen, Nad
Author: Yildirim, Unal (1); Campean, Felician (2); Korsunovs, Aleksandr (2); Doikin, Aleksandr (2)
Series: ICED
Institution: 1: Hubei University of Automotive Technology, China;
2: University of Bradford, United Kingdom
Section: Design Methods
Page(s): 1895-1904
DOI number: https://doi.org/10.1017/pds.2023.190
ISBN: -
ISSN: -
Abstract
Model-Based Systems Engineering (MBSE) is increasingly used across industries for the integrated modelling of complex systems to support model-based development and provide enhanced traceability between requirements and verification and validation of the system. This paper seeks to strengthen the function modelling methodology in MBSE by introducing an approach based on flow heuristics guided by the System State Flow Diagram schema. This provides function representations with an enhanced integrity in MBSE facilitating the solution-agnostic architecture modelling, and supports integrated simulation and function failure reasoning based on MBSE. The approach is illustrated with a case study of an electric bicycle implemented in the MathWorks System Composer environment.
Keywords: Functional modelling, Systems Engineering (SE), Product modelling / models, System State Flow Diagram, System Composer