Hostname: page-component-586b7cd67f-dlnhk Total loading time: 0 Render date: 2024-11-24T05:57:20.141Z Has data issue: false hasContentIssue false

Capturing the Design Rationale in Model-Based Systems Engineering of Geo-Stations

Published online by Cambridge University Press:  26 May 2022

A. Zech
Affiliation:
EKS InTec GmbH, Germany
R. Stetter
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany
S. Rudolph
Affiliation:
University of Stuttgart, Germany
M. Till*
Affiliation:
University of Applied Sciences Ravensburg-Weingarten, Germany

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.

The design rationale describes the justification of design decision or selection. To avoid unnecessary design iterations, a capturing and documentation of this rationale is highly desirable. In digital engineering processes it is of imminent importance not only to document the evaluation processes behind this rationale but to make them repeatable and digitally executable. This allows to design a variety of product variants within an engineering framework. This paper explains an approach based on graph-based design languages and presents it based on a section of an automotive assembly system.

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), 2022.

References

Cao, Y.; Liu, Y.; Paredis, C. J. J.: System-level model integration of design and simulation for mechatronic systems based on SysML Mechatronics 21 (6) 2011, pp. 10631075, 10.1016/j.mechatronics.2011.05.003.Google Scholar
Darpel, S.; Beckman, S.; Ferlin, T.; Havenhill, M. Parrot, E.; Harcula, K.: Method for tracking and communicating aggregate risk through the use of model-based systems engineering (MBSE) tools. Journal of Space Safety Engineering 7 (2020) 1117, 10.1016/j.jsse.2020.01.001.CrossRefGoogle Scholar
Ellman, A., Paronen, J.; Juuti, T.S., Tiainen, T.: Re-use of engineering design rationale in Finnish SME project based industry. In: Marjanović, D., Štorga, M., Škec, S., Bojčetić, N., Pavković, N.: Proceedings of the DESIGN 2018 15th International Design Conference, 2018, pp. 18251832.Google Scholar
Elwert, M.; Ramsaier, M.; Eisenbart, B.; Stetter, R.: Holistic Digital Function Modelling with Graph-Based Design Languages. In: Proceedings of the Design Society: International Conference on Engineering Design / Volume 1 / Issue 1, Cambridge University Press: 26 July 2019, pp. 15231532.Google Scholar
Gräßler, I.; Hentze, J.: The new V-Model of VDI 2206 and its validation. at – Automatisierungstechnik 2020; 68(5): pp. 312324, 10.1515/auto-2020-0015.Google Scholar
Gräßler, I.; Wiechel, D.; Pottebaum, J.: Role model of model-based systems engineering application, 2021 IOP Conference Series: Material Science and Engineering, 1097, 012003.Google Scholar
Groß, J., Rudolph, S.: Hierarchie von Entwurfsentscheidungen beim modellbasierten Entwurf komplexer Systeme. Tag des System Engineerings. 2011.Google Scholar
Groß, J.; Rudolph, S.: Generating simulation models from UML – a FireSat example. In: Proceedings of the 2012 Symposium on Theory of Modeling and Simulation – DEVS Integrative M&S Symposium. San Diego: Society for Computer Simulation International, 2012.Google Scholar
Heisig, P., Caldwell, N.H.M., Grebici, K. and Clarkson, P.J. (2010), “Exploring knowledge and information needs in engineering from the past and for the future - Results from a survey”, Design Studies, Vol. 31 No. 5, pp. 499532. 10.1016/j.destud.2010.05.001.CrossRefGoogle Scholar
Holder, K., Zech, A., Ramsaier, M., Stetter, R., Niedermeier, H.-P., Rudolph, S. and Till, M. (2017) “Model-Based Requirements Management in Gear Systems Design based on Graph-Based Design Languages”. Appl. Sci. 2017, 7, 1112, 10.3390/app7111112.Google Scholar
Holder, K.; Schumacher, S.; Friedrich, M.; Till, M.; Stetter, R.; Fichter, W.; Rudolph, S.: Digital Development Process for the Drive System of a Balanced Two-Wheel Scooter. Vehicles, 2021, Vol. 3, Issue 1, pp. 3360. 10.3390/vehicles3010003.Google Scholar
mbH, IILS. Design Compiler 43. Available online: https://www.iils.de (accessed on 04 Mai 2021).Google Scholar
Kruse, B., Shea, K.: Design Library Solution Patterns in SysML for Concept Design and Simulation. In: Proceedings of the 26th CIRP Design Conference, Procedia CIRP, vol. 50, pp. 695700 (2016). 10.1016/j.procir.2016.04.132Google Scholar
Laing, C.; David, P.; Blanco, E.; Dorel, X.: Questioning integration of verification in model-based systems engineering: an industrial perspective. Computers in Industry 114 (2020) 103163 10.1016/j.compind.2019.103163.CrossRefGoogle Scholar
Lee, J., Design rationale systems: Understanding the Issues. IEEE intelligent systems, 1997, 12(3), pp7884.Google Scholar
Reichwein, A.: Application-specific UML Profiles for Multdisciplinary Product Data Integration. PhD thesis, Universität Stuttgart, 2011.Google Scholar
Riestenpatt gen. Richter, M. and Rudolph, S.: A scientific discourse on creativity and innovation in the formal context of graph-based design languages. 13th Anniversary “Heron Island” Conference Workshop on Computational and Cognitive Models of Creative Design (HI‘19), Heron Island, Queensland, Australia, December 15–18, 2019.Google Scholar
Rudolph, S. Übertragung von Ähnlichkeitsbegriffen. Habilitationsschrift, Fakultät Luft- und Raumfahrttechnik und Geodäsie. Habilitation Thesis, Universität Stuttgart, Stuttgart, Germany, 2002.Google Scholar
Rudolph, S. A Semantic Validation Scheme for Graph-Based Engineering Design Grammars. In: Gero, John (ed): Proceedings Design Computing and Cognition (DCC‘06), Springer, Dordrecht, 541560, 2006CrossRefGoogle Scholar
Rudolph, S.: Vorlesungen Digitaler Produktentwurf. Universität Stuttgart 2021.Google Scholar
Shaked, A.; Reich, Y.: Using Domain-Specific Models to Facilitate Model-Based Systems-Engineering: Development Process Design Modeling with OPM and PROVE. Applied Sciences 2021,11, 1532. 10.3390/app1104153Google Scholar
Stetter, R.: Approaches for Modelling the Physical Behavior of Technical Systems on the Example of Wind Turbines. Energies (2020), Vol. 13, No. 8, 2087, 10.3390/en13082087.CrossRefGoogle Scholar
Störrle, H.: UML 2 für Studenten. München: Pearson 2005.Google Scholar
Till, M.; Stetter, R.; Rudolph, S.: Multi-disziplinäre digitale Repräsentation des Produktlebenszyklus auf der Basis graphenbasierter Entwurfssprachen. In: Forschungsreport für den Maschinenbau in Baden-Württemberg 2016. Bingen: Public, 2016. S. 3 – 6. ISSN 2196-8659.Google Scholar
VDI/VDE 2206 – Entwurf: Entwicklung cyber-physischer mechatronischer Systeme (CPMS). Beuth: 2020.Google Scholar
Zech, A.; Stetter, R.; Till, M.; Rudolph, S.: Automated Generation of Clamping Concepts and Assembly Cells for Car Body Parts for the Digitalization of Automobile Production. Stuttgart Conference of Automotive Production SCAP 2020, 2nd to 10th November 2020.Google Scholar