Hostname: page-component-848d4c4894-75dct Total loading time: 0 Render date: 2024-05-10T20:09:35.124Z Has data issue: false hasContentIssue false

MBSE WITHIN THE ENGINEERING DESIGN COMMUNITY – AN EXPLORATORY STUDY

Published online by Cambridge University Press:  19 June 2023

Markus Christian Berschik*
Affiliation:
Hamburg University of Technology;
Thomas Schumacher
Affiliation:
TU Clausthal
Fabian Niklas Laukotka
Affiliation:
Hamburg University of Technology;
Dieter Krause
Affiliation:
Hamburg University of Technology;
David Inkermann
Affiliation:
TU Clausthal
*
Berschik, Markus Christian, Technische Universität Hamburg, Germany, markus.berschik@tuhh.de

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.

Objective of this contribution is to present the use of Model-based Systems Engineering within the engineering design community. Based on a differentiation between SE and MBSE, the definition of three core MBSE elements, namely modelling method, modelling language, and modelling tool as well as the three major aspects of a consistent system model (requirements, behaviour, and structure) a structured review is conducted, focussing on the understanding and motivation as well as the modelling of systems. The review includes 93 publications from Design Society library and proceedings of the CIRP Design conferences during the period from 2011 to 2022. The review points out, that there is an increasing application of MBSE within the engineering design community, mainly focussing on architecture definition or combined engineering activities. Only a small portion of works (16 publications) are providing a consistent approach as these publications link all aspects of the system model and consider all three MBSE elements. It can be concluded, that there is a diffuse understanding of MBSE and different motivations are given to apply more formal system models as well as modelling tools.

Type
Article
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

References

Albers, A.; Zingel, C. (2013): Challenges of Model-Based Systems Engineering: A Study towards Unified Term Understanding and the State of Usage of SysML. In Abramovici, M.; Stark, R. (Eds.): Smart Product Engineering. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 8392.CrossRefGoogle Scholar
Alt, O. (2012): Modellbasierte Systementwicklung mit SysML. München: Hanser.CrossRefGoogle Scholar
Bougain, S.J.; Gerhard, D. (2018): A CBR APPROACH FOR SUPPORTING ECODESIGN WITH SYSML. In Maier, A.; Kim, H.; Oehmen, J.; Salustri, F.; Škec, S.; Kokkolaras, M. (Eds.): Product, services and systems design. Red Hook, NY: Curran Associates Inc (DS, 87, 3).Google Scholar
Delligatti, L. (2014): SysML Distilled. A Brief Guide to the Systems Modeling Language: Addison-Wesley.Google Scholar
Dori, D. (2011): Object-Process Methodology. In Schwartz, D.; Te'eni, D. (Eds.): Encyclopedia of Knowledge Management, Second Edition: IGI Global, pp. 12081220.Google Scholar
Friedenthal, S.; Moore, A.; Steiner, R. (2015): A Practical Guide to SysML. The Systems Modeling Language. 3rd ed.: Elsevier.Google Scholar
Gausemeier, J.; Rammig, F.J.; Schäfer, W.; Sextro, W. (Eds.) (2014): Dependability of Self-Optimizing Mechatronic Systems. Berlin, Heidelberg: Springer Berlin Heidelberg.CrossRefGoogle Scholar
Gérard, S.; Espinoza, H.; Terrier, F.; Selic, B. (2010): 6 Modeling Languages for Real-Time and Embedded Systems. In Giese, H.; Karsai, G.; Lee, E.; Rumpe, B.; Schätz, B. (Eds.): Model-Based Engineering of Embedded Real-Time Systems, vol. 6100. Berlin, Heidelberg: Springer Berlin Heidelberg, pp. 129154.CrossRefGoogle Scholar
Gero, J.S.; Kannengiesser, U. (2004): The situated function–behaviour–structure framework. In Design Studies 25 (4), pp. 373391. http://doi.org/10.1016/j.destud.2003.10.010.CrossRefGoogle Scholar
Haberfellner, R.; Weck, O. de; Fricke, E.; Vössner, S. (2019): Systems Engineering. Cham: Springer International.CrossRefGoogle Scholar
Hanna, M.; Schwenke, J.; Schwede, L.-N.; Laukotka, F.; Krause, D. (2021): Model-based application of the methodical process for modular lightweight design of aircraft cabins. In Procedia CIRP 100, pp. 637642. http://doi.org/10.1016/j.procir.2021.05.136.CrossRefGoogle Scholar
Henderson, K.; Salado, A. (2021): Value and benefits of model-based systems engineering (MBSE): Evidence from the literature. In Syst Eng 24 (1), pp. 5166. http://doi.org/10.1002/sys.21566.CrossRefGoogle Scholar
Hossain, N.U.; Jaradat, R.M.; Hamilton, M.A.; Keating, C.B.; Goerger, S.R. (2020): A Historical Perspective on Development of Systems Engineering Discipline: A Review and Analysis. In J. Syst. Sci. Syst. Eng. 29 (1), pp. 135. http://doi.org/10.1007/s11518-019-5440-x.CrossRefGoogle Scholar
Huldt, T.; Stenius, I. (2019): State-of-practice survey of model-based systems engineering. In Syst Eng 22 (2), pp. 134145. http://doi.org/10.1002/sys.21466.CrossRefGoogle Scholar
INCOSE (Ed.) (2007): INCOSE Systems Engineering Vision 2020. INCOSE - Technical Operations (INCOSE-TP-2004-004-02). Available online at https://sdincose.org/wp-content/uploads/2011/12/SEVision2020_20071003_v2_03.pdf.Google Scholar
Inkermann, D. (2021): SHAPING METHOD ECOSYSTEMS - STRUCTURED IMPLEMENTATION OF SYSTEMS ENGINEERING IN INDUSTRIAL PRACTICE. In Proc. Des. Soc. 1, pp. 26412650. http://doi.org/10.1017/pds.2021.525.CrossRefGoogle Scholar
Inkermann, D.; Huth, T.; Vietor, T.; Grewe, A.; Knieke, C.; Rausch, A. (2019): Model-Based Requirement Engineering to Support Development of Complex Systems. In Procedia CIRP 84, pp. 239244. http://doi.org/10.1016/j.procir.2019.04.345.CrossRefGoogle Scholar
ISO/IEC/IEEE (2015): ISO/IEC/IEEE International Standard - Systems and software engineering -- System life cycle processes. ISO 15288. Piscataway, NJ, USA: IEEE, 2015.Google Scholar
Jagla, P.; Jacobs, G.; Siebrecht, J.; Wischmann, S.; Sprehe, J. (2021): Using SysML to Support Impact Analysis on Structural Dynamics Simulation Models. In Procedia CIRP 100, pp. 9196. http://doi.org/10.1016/j.procir.2021.05.015.CrossRefGoogle Scholar
Kattner, N.; Bauer, H.; Basirati, M.R.; Zou, M.; Brandl, F.; Vogel-Heuser, B. et al. (2019): Inconsistency Management in Heterogeneous Models - An Approach for the Identification of Model Dependencies and Potential Inconsistencies. In Proc. Int. Conf. Eng. Des. 1 (1), pp. 36613670.CrossRefGoogle Scholar
Katzwinkel, T.; Löwer, M. (2019): MBSE-integrated Parametric Working Surfaces as part of a PLM Design Approach. In Proc. Int. Conf. Eng. Des. 1 (1), pp. 36713680. http://doi.org/10.1017/dsi.2019.374.CrossRefGoogle Scholar
Ma, J.; Wang, G.; Lu, J.; Vangheluwe, H.; Kiritsis, D.; Yan, Y. (2022): Systematic Literature Review of MBSE Tool-Chains. In Applied Sciences 12 (7), p. 3431. http://doi.org/10.3390/app12073431.CrossRefGoogle Scholar
Martin, J.N. (1997): Systems Engineering Guidebook: CRC Press.Google Scholar
Meißner, M.; Jacobs, G.; Jagla, P.; Sprehe, J. (2021): Model based systems engineering as enabler for rapid engineering change management. In Procedia CIRP, pp. 6166. http://doi.org/10.1016/j.procir.2021.05.010.CrossRefGoogle Scholar
Moher, D.; Liberati, A.; Tetzlaff, J.; Altman, D.G. (2009): Preferred reporting items for systematic reviews and meta-analyses: the PRISMA statement. In BMJ (Cl. research ed.) 339. http://doi.org/10.1136/bmj.b2535.Google ScholarPubMed
Paetzold, K.; Kößler, J. (2014): A SYSTEM INTEGRATION METHOD FOR THE CONTINUOUS SUPPORT OF THE DESIGN PROCESS. In : Proceedings of the DESIGN 2014 13th International Design Conference.Google Scholar
Saqui-Sannes, P. de; Vingerhoeds, R.A.; Garion, C.; Thirioux, X. (2022): A Taxonomy of MBSE Approaches by Languages, Tools and Methods. In IEEE Access 10, pp. 120936120950. http://doi.org/10.1109/ACCESS.2022.3222387.CrossRefGoogle Scholar
Singam, C.; (2022): Model-Based Systems Engineering (MBSE). SEBoK Wiki: Guide to the Systems Engineering Body of Knowledge. SEBoK v. 2.6. Edited by San Diego, CA: International Council on Systems Engineering (INCOSE). 20.05.2022. Available online at https://www.sebokwiki.org/wiki/Model-Based_Systems_Engineering_(MBSE) (accessed 17.10.2022).Google Scholar
Walden, D.D.; Roedler, G.J.; Forsberg, K.; Hamelin, R.D.; Shortell, T.M. (Eds.) (2015): Systems engineering handbook. A guide for system life cycle processes and activities; INCOSE-TP-2003-002-04, 2015. International Council on Systems Engineering. 4. edition. Hoboken, NJ: Wiley.Google Scholar
Weilkiens, T. (2007): Systems engineering with SysML/UML. Modeling, analysis, design. Amsterdam, Boston, Heidelberg, London: Elsevier Morgan Kaufmann OMG Press (OMG Press series).Google Scholar
Weilkiens, T. (2022): Definition of MBSE Revised. Edited by Tim Weilkiens. Available online at https://mbse4u.com/2022/01/11/definition-of-mbse-revised/ (accessed 03.10.2022).Google Scholar
Wymore, A.W. (1993): Model-Based Systems Engineering: CRC Press.Google Scholar
Younse, P.J.; Cameron, J.E.; Bradley, T.H. (2021): Comparative Analysis of Model-Based and Traditional Systems Engineering Approaches for Architecting a Robotic Space System Through Automatic Information Transfer. In IEEE Access 9, pp. 107476107492. http://doi.org/10.1109/ACCESS.2021.3096468.CrossRefGoogle Scholar