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Supporting modular product family representations by methodically utilising meta-models

Published online by Cambridge University Press:  16 May 2024

Markus Christian Berschik*
Affiliation:
Hamburg University of Technology, Germany
Fabian Niklas Laukotka
Affiliation:
Hamburg University of Technology, Germany
Marc Züfle
Affiliation:
Hamburg University of Technology, Germany
Dieter Krause
Affiliation:
Hamburg University of Technology, Germany

Abstract

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Due to the rising multidisciplinarity and connectivity of products especially modular product families, a sophisticated handling of the information is crucial for reducing complexity during the development. System modelling techniques have evolved to assist engineers with managing information. However, nowadays, it is rarely focusing on modular product families. This paper introduces a meta-model based on an ontology, which improves the creation and management of modular product family and its occurring data. The meta-model is presented using the example of a Passenger Service Unit (PSU).

Type
Systems Engineering and Design
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), 2024.

References

Aßmann, U., Zschaler, S. and Wagner, G. (2006), "Ontologies, Meta-models, and the Model-Driven Paradigm", in Calero, C. (Ed.), Ontologies for software engineering and software technology: With 46 tables, Springer Verlag, Berlin, Germany, pp. 249273.CrossRefGoogle Scholar
Berschik, M. C.; Blecken, M.; Kumawat, H.; Rath, J.-E.; Krause, D.; God, R.; Schüppstuhl, T. (2022), "A Holistic Aircraft Cabin Meta-Model As An Approach Towards An Interconnected Digitised Cabin Lifecycle", 33rd Congress of the International Council of The Aeronautical Sciences (ICAS 2022), Stockholm, Sweden.Google Scholar
Berschik, M. C.; Laukotka, F.; Hanna, M.; Schwan, L.; Krause, D. (2022), "Digitale Innovationen in der Flugzeugkabinen-Entwicklung", Tagungsband 71. Deutscher Luft- und Raumfahrtkongress (DLRK 2022), Dresden, Germany.Google Scholar
Berschik, M.C., Schumacher, T., Laukotka, F.N., Inkermann, D. and Krause, D. (2023), "MBSE within the engineering design community - an exploratory study", 24th Int. Conf. on Eng. Des., Bordeaux, France.Google Scholar
Delligatti, L. (2014), "SysML distilled: A brief guide to the systems modeling language", Addison-Wesley, Upper Saddle River, NJ, United States.Google Scholar
Eigner, M., Dickopf, T., Apostolov, H., Schaefer, P., Faißt, K.-G. and Keßler, A. (2014), "System Lifecycle Management: Initial Approach for a Sustainable Product Development Process Based on Methods of Model Based Systems Engineering", in Fukuda, S., Bernard, A., Gurumoorthy, B. and Bouras, A. (Eds.), Product Lifecycle Management for a Global Market, IFIP Advances in Information and Communication Technology, Vol. 442, Springer Berlin Heidelberg, Berlin, Heidelberg, pp. 287300.Google Scholar
El-Haji, M. (2014), "Ontologie-basierte Definition von Anforderungen an Validierungswerkzeuge in der Fahrzeugtechnik", Dissertation, Karlsruher Schriftenreihe Fahrzeugsystemtechnik, Band 48, KIT Scientific Publishing, Karlsruhe, Germany.Google Scholar
ElMaraghy, W., ElMaraghy, H., Tomiyama, T. and Monostori, L. (2012), "Complexity in engineering design and manufacturing", CIRP Annals, Vol. 61, pp. 793814.CrossRefGoogle Scholar
Franke H-J, Hesselbach, Huch, J., and Firchau, B., L, N.. (2002) "Variantenmanagement in der Einzel- und Kleinserienfertigung – Mit 33 Tabellen", Hanser-Verlag, München/Wien.Google Scholar
Friedenthal, S., Izumi, L. and Meilich, A. (1998), "Object Oriented Systems Engineering", In: Process Integration for 2000 and Beyond: Systems Engineering and Software Symposium. New Orleans, Lockheed Martin Corporation.Google Scholar
Friedenthal, S., Moore, A. and Steiner, R. (2015), "A Practical Guide to SysML: The System Modeling Language", Third Edition, Elsevier/MK, Burlington, MA, United States.Google Scholar
Graessler, I., Hentze, J. and Bruckmann, T. (2018), "V-MODELS FOR INTERDISCIPLINARY SYSTEMS ENGINEERING", in Proceedings of the DESIGN 2018 15th International Design Conference, May, 21-24, 2018, Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Croatia; The Design Society, Glasgow, UK, pp. 747756.Google Scholar
Hehenberger, P., Vogel-Heuser, B., Bradley, D., Eynard, B., Tomiyama, T. and Achiche, S. (2016), "Design, modelling, simulation and integration of cyber physical systems: Methods and applications", Computers in Industry, Vol. 82, pp. 273289.CrossRefGoogle Scholar
Holt, J., Perry, S.A., Brownsword, M. (2012), "Model-Based Requirements Engineering", The Institution of Engineering and Technology, London.CrossRefGoogle Scholar
INCOSE (2007), "INCOSE, Systems Engineering Vision 2020", available at: https://sdincose.org/wp-content/uploads/2011/12/SEVision2020_20071003_v2_03.pdf.Google Scholar
ISO/EC/IEEE (2021). International Standard 26580, Software and systems engineering - Methods and tools for the feature-based approach to software and systems product line engineering, 35.080 Software.Google Scholar
Krause, D. and Gebhardt, N. (2023), "Methodical Development of Modular Product Families", Springer, Berlin.CrossRefGoogle Scholar
Lehner, F. (2021), Wissensmanagement: Grundlagen, Methoden und technische Unterstützung, 7. Edition, Hanser, München.CrossRefGoogle Scholar
Mertens, K.G., Rennpferdt, C., Greve, E., Krause, D. and Meyer, M. (2022), "Reviewing the intellectual structure of product modularisation: Toward a common view and future research agenda", Journal of Product Innovation Management, Vol. 40, pp. 86-119.CrossRefGoogle Scholar
Meyer, M (1997), "Revitalise your product lines through continuous platform renewal", in Research Technology Management, Vol. 40, pp. 1728.Google Scholar
NoMagic Inc. (2011), "Magic Draw - Model-based Systems Engineering", Online-Brochure (accessed 21 September 2022).Google Scholar
NoMagic Inc. (2023), "Product Line Engineering", available at: https://docs.nomagic.com/display/PLE2021xR2/Product+Line+Engineering (accessed 21 November 2023).Google Scholar
Pure-Systems (2023), "pure::variants", available at: https://www.pure-systems.com/de/purevariants (accessed 21 November 2023)Google Scholar
Rommes, E., America, P. (2006), "A Scenario-Based Method for Software Product Line Architecting", in Käköla, T and Duenas, J. C. (Ed.), Software Product Lines", Springer Verlag, Berlin, pp. 3-52.Google Scholar
Simpson, T. W., Siddique, S. and Jiao, J. (2005), "Product Platform and Product Family Design: Methods and Applications", Springer, New York.CrossRefGoogle Scholar
Tomiyama, T., Lutters, E., Stark, R. and Abramovici, M. (2019), “Development capabilities for smart products”, CIRP Annals, Vol. 68, pp. 727750.CrossRefGoogle Scholar
Walden, D.D., Roedler, G.J., Forsberg, K., Hamelin, R.D. and Shortell, T.M. (2015), Systems engineering handbook: A guide for system life cycle processes and activities INCOSE-TP-2003-002-04, 2015, 4th Edition, Wiley, New York, NY, United States.Google Scholar
Weilkiens, T. (2008), "Systems Engineering with SysML / UML", Morgan Kaufmann OMG Press.CrossRefGoogle Scholar
Weilkiens, T. (2016), "Variant modeling with SysML", MBSE4U, Fredesdorf.Google Scholar