Hostname: page-component-586b7cd67f-g8jcs Total loading time: 0 Render date: 2024-11-26T00:09:42.106Z Has data issue: false hasContentIssue false
  • English
  • Français

USING MODEL-BASED SYSTEMS ENGINEERING FOR NEED-BASED AND CONSISTENT SUPPORT OF THE DESIGN PROCESS

Published online by Cambridge University Press:  27 July 2021

Stephan Husung ,
Christian Weber ,
Atif Mahboob  and
Sven Kleiner
Stephan Husung*
Affiliation:
em engineering methods AG;
Christian Weber
Affiliation:
Technische Universität Ilmenau
Atif Mahboob
Affiliation:
Technische Universität Ilmenau
Sven Kleiner
Affiliation:
em engineering methods AG;
*
Husung, Stephan, Technische Universität Ilmenau Product and Systems Engineering Group Germany, [email protected]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

Model-Based Systems Engineering (MBSE) is an efficient approach to support product development in order to meet today's challenges. The MBSE approach includes methods and, above all, modelling approaches of the technical system with the aim of continuous use in development. The objective of this paper is to use the potential of the MBSE models and to show the added value of such models on the system level when used as a single source. With this objective, this paper presents a three-step approach to systematically identify and apply meaningful modelling approaches within MBSE, based on the needs during the development process. Furthermore, an FMEA example is included in this paper to elaborate the use of MBSE in the system failure analysis.

Keywords

Model-Based Systems EngineeringSystems Engineering (SE)Design methodsProduct modelling/models
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 3369 - 3378
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), 2021. Published by Cambridge University Press

References

Akin, M., Grimm, V., Husung, S., Stöckeler, C., Hahn, D. and Kleiner, S. (2019) ‘Beherrschung komplexer mechatronischer Systemvarianten mittels MBSE und SysML’, Tag des Systems Engineering, 6. - 8. November 2019. München.Google Scholar
Albers, A., Bursac, N. and Wintergerst, E. (2015) ‘Product Generation Development – Importance and Challenges from a Design Research Perspective’.Google Scholar
Eigner, M., Koch, W. and Muggeo, C. (2017) Modellbasierter Entwicklungsprozess cybertronischer Systeme, Berlin, Heidelberg, Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-55124-0CrossRefGoogle Scholar
Friedenthal, S. (2015) A practical guide to SysML: The systems modeling language [Online], Waltham, MA, Morgan Kaufman. Available at http://proquest.tech.safaribooksonline.de/9780128002025.Google Scholar
Goevert, K. and Lindemann, U. (2018) ‘Further development of an agile technique toolbox for mechatronic product development’, DS 92: Proceedings of the DESIGN 2018 15th International Design Conference, pp. 2015–2026. https://doi.org/10.21278/idc.2018.0204Google Scholar
Haberfellner, R., Weck, O. L. de and Fricke, E. (2019) Systems engineering: Fundamentals and applications, Springer International Publishing. https://doi.org/10.1007/978-3-030-13431-0CrossRefGoogle Scholar
Hoffmann, H.-P. (2011) Systems Engineering Best Practices with the Rational Solution for Systems and Software Engineering - Deskbook Release 4.1: Model-Based Systems Engineering with Rational Rhapsody and Rational Harmony for Systems Engineering.Google Scholar
Husung, S. and Kleiner, S. (2018) ‘MBSE and Simulation for Automotive Systems Engineering’, NAFEMS Seminar: Bessere Produkte mit Modellbasiertem Systems Engineering (MBSE) und CAE. Wiesbaden.Google Scholar
Husung, S., Lindemann, G., Korobov, S., Hamester, M. and Kleiner, S. (2018) ‘Use Case driven Model-based Systems Engineering for industrial applications’, EMEASEC 2018/TdSE 2018.Google Scholar
Kleiner, S., Ricks, M., Engelmann, M. and Husung, S. (2017) ‘Model-Based Systems Engineering and Simulation for Automotive Systems Development at GKN Driveline’, NAFEMS World Congress (NWC17). Stockholm, 11.-14.06.2017.Google Scholar
Moyne, J., Qamsane, Y., Balta, E. C., Kovalenko, I., Faris, J., Barton, K. and Tilbury, D. M. (2020) ‘A Requirements Driven Digital Twin Framework: Specification and Opportunities’, IEEE Access, vol. 8, pp. 107781–107801. https://doi.org/10.1109/ACCESS.2020.3000437CrossRefGoogle Scholar
Object Management Group (2020) UAF Overview [Online]. Available at www.omgwiki.org/uaf/doku.php.Google Scholar
OMG (2019) The OMG Systems Modeling Language™ Version 1.6 [Online].Google Scholar
Pohl, K. (2012) Model-based engineering of embedded systems: The SPES 2020 methodology, Heidelberg, Springer. https://doi.org/10.1007/978-3-642-34614-9CrossRefGoogle Scholar
VDI (2004) 2206:2004-06: Design methodology for mechatronic systems.Google Scholar
Walden, D. D., Roedler, G. J., Forsberg, K., Hamelin, R. D. and Shortell, T. M., eds. (2015) Systems engineering handbook: A guide for system life cycle processes and activities; INCOSE-TP-2003-002-04, 2015, 4th edn, Hoboken, NJ, Wiley.Google Scholar
Weilkiens, T. (2016a) SYSMOD - the systems modeling toolbox: Pragmatic MBSE with SysML, 2nd edn, Fredesdorf, MBSE4U.Google Scholar
Weilkiens, T. (2016b) Variant modeling with SysML, Fredesdorf, MBSE4U.Google Scholar
Weilkiens, T., Lamm, J. G., Roth, S. and Walker, M. (2016) Model-based system architecture, Hoboken, NJ, Wiley.Google Scholar