Hostname: page-component-586b7cd67f-l7hp2 Total loading time: 0 Render date: 2024-12-03T19:25:14.597Z Has data issue: false hasContentIssue false
  • English
  • Français

Enhancing design representations of information and knowledge of complex and long-living assets by applying system modelling techniques

Published online by Cambridge University Press:  16 May 2024

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

Managing general domain knowledge and asset-specific information in the form of digital representations is especially important and challenging when focusing on long-living and complex assets. Implicit knowledge and existing structures need to be captured and digitalised, ideally without introducing unnecessary complexity through unfamiliar wording or new structures. To achieve this, a methodical approach that utilises ontologies as well as system modelling techniques and focuses on early-stage model instantiation is presented and applied to the cabin retrofit of aircraft

Keywords

design representationknowledge representationssystem modellingaircraft cabinsmeta-model
Type
Design Information and Knowledge
Information
Proceedings of the Design Society , Volume 4: DESIGN 2024 , May 2024 , pp. 403 - 412
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. 249–273. https://dx.doi.org/10.1007/3-540-34518-3_9.CrossRefGoogle Scholar
Berschik, M.C., Schumacher, T., Laukotka, F.N., Inkermann, D. and Krause, D. (2023), “MBSE within the engineering design community - an exploratory study”, paper presented at 24th International Conference on Engineering Design, 23rd-27th July 2023, Bordeaux, France. https://dx.doi.org/10.1017/pds.2023.260.CrossRefGoogle Scholar
Delligatti, L. (2014), SysML distilled: A brief guide to the systems modeling language, Addison-Wesley, Upper Saddle River, NJ, United States.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. https://dx.doi.org/10.5445/KSP/1000052725.CrossRefGoogle Scholar
FAA - Federal Aviation Administration (2008), “Joint Aircraft System/Component Code. Table and Definitions”, JASC, available at: https://av-info.faa.gov/sdrx/documents/JASC_Code.pdf (accessed 18 January 2023).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. https://dx.doi.org/10.1016/C2013-0-14457-1.Google Scholar
Gruber, T.R. (1995), “Toward principles for the design of ontologies used for knowledge sharing?”, International Journal of Human-Computer Studies, Vol. 43 No. (5-6), pp. 907–928.CrossRefGoogle Scholar
Guarino, N. (1998), “Formal Ontology and Information Systems”, Proceedings of FOIS’98, Vol. 1998, pp. 3–15.Google Scholar
Horrocks, I., Patel-Schneider, P.F. and van Harmelen, F. (Vol. 2003), “From SHIQ and RDF to OWL: the making of a Web Ontology Language”, Journal of Web Semantics, Vol. 1 No. (1), pp. 7–26.Google 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
Jackson, S. (1997), “Systems Engineering for Commercial Aircraft”, INCOSE International Symposium, Vol. 7 No. (1), pp. 36–43.CrossRefGoogle Scholar
Kiniti, S. and Standing, C. (2013), “Wikis as knowledge management systems: issues and challenges”, Journal of Systems and Information Technology, Vol. 15 No. (2), pp. 189–201.CrossRefGoogle Scholar
Kopisch, M. and Günter, A. (1992), “Configuration of a passenger aircraft cabin based on conceptual hierarchy, constraints and flexible control”, Industrial and Engineering Applications of Artificial Intelligence and Expert Systems, Vol. 604, Springer Verlag, Berlin, Germany, pp. 421–430. https://dx.doi.org/10.1007/BFb0024994.CrossRefGoogle Scholar
Laukotka, F.N. and Krause, D. (2023), “Supporting Digital Twins for the Retrofit in Aviation by a Model-Driven Data Handling”, Systems, Vol. 11 No. (3), p. 142.Google Scholar
Laukotka, F.N. and Krause, D. (2024), “Combining System Modelling and Graph Databases to Improve Access and Analysis in Data-Intensive Engineering Tasks. Paper Accepted/Unpublished”, in 2024 IEEE International Systems Conference (SysCon), Montreal, QC, Canada, IEEE.CrossRefGoogle Scholar
Lehner, F. (2021), Wissensmanagement: Grundlagen, Methoden und technische Unterstützung, 7. überarbeitete und erweiterte Auflage, Hanser, München.CrossRefGoogle Scholar
Mensen, H. (2013), Handbuch der Luftfahrt, 2. Auflage, Springer Verlag, Berlin, Germany.CrossRefGoogle Scholar
Moenck, K.H.W., Laukotka, F.N., Deneke, C., Schüppstuhl, T., Krause, D. and Nagel, T.J. (2022a), “Towards an Intelligent Digital Cabin Twin to Support an Aircraft's Retrofit and Base Maintenance”, in SAE Technical Paper Series, MAR. 15, 2022, Warrendale, PA, United States. https://dx.doi.org/10.4271/2022-01-0046.CrossRefGoogle Scholar
Moenck, K.H.W., Laukotka, F.N., Krause, D. and Schüppstuhl, T. (2022b), “Digital Twins of existing long-living assets: reverse instantiation of the mid-life twin”, in Proceedings of the 33rd Symposium Design for X (DfX 2022), Hamburg, Germany, The Design Society, p. 10. https://dx.doi.org/10.35199/dfx2022.20.CrossRefGoogle Scholar
Niţǎ, M.F. (2012), Contributions to aircraft preliminary design and optimization, Dissertation, Verlag Dr. Hut, München, Germany.Google Scholar
Niţă, M.F. and Scholz, D. (2011), “Business opportunities in aircraft cabin conversion and refurbishing”, Journal of Aerospace Operations (AOP), Vol. 1 No. (1-2), pp. 129–153.CrossRefGoogle Scholar
Inc, NoMagic. (2011), “Magic Draw - Model-based Systems Engineering”, (accessed 21 September 2022).Google Scholar
Stark, J. (2016), Product Lifecycle Management: Volume 2 - The Devil is in the Details, Springer International Publishing, Cham, Switzerland. https://dx.doi.org/10.1007/978-3-319-24436-5.Google Scholar
Verein Deutscher Ingenieure e.V. (2017), Wissensmanagement im Ingenieurwesen - Wissensbasierte Konstruktion (KBE), Vol. 03.100.99 No. 5610 Blatt 2, Beuth Verlag GmbH, Berlin, Germany.Google 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
Williams, M. and Boing (2021), “A Roadmap for MBSE Data Standards. Annual INCOSE International Workshop 2021”.Google Scholar