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FLOW HEURISTICS FOR FUNCTIONAL MODELLING IN MODEL-BASED SYSTEMS ENGINEERING

Published online by Cambridge University Press:  19 June 2023

Unal Yildirim ,
Felician Campean ,
Aleksandr Korsunovs  and
Aleksandr Doikin
Unal Yildirim*
Affiliation:
Hubei University of Automotive Technology, China
Felician Campean
Affiliation:
University of Bradford, United Kingdom
Aleksandr Korsunovs
Affiliation:
University of Bradford, United Kingdom
Aleksandr Doikin
Affiliation:
University of Bradford, United Kingdom
*
Yildirim, Unal, Hubei University of Automotive Technology, China, People's Republic of, [email protected]

Abstract

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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 modellingSystems Engineering (SE)Product modelling / modelsSystem State Flow DiagramSystem Composer
Type
Article
Information
Proceedings of the Design Society , Volume 3: ICED23 , July 2023 , pp. 1895 - 1904
Creative Commons
Creative Common License - CCCreative Common License - BYCreative Common License - NCCreative Common License - ND
This is an Open Access article, distributed under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives licence (http://creativecommons.org/licenses/by-nc-nd/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is unaltered and is properly cited. The written permission of Cambridge University Press must be obtained for commercial re-use or in order to create a derivative work.
Copyright
The Author(s), 2023. Published by Cambridge University Press

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