Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-19T07:21:51.476Z Has data issue: false hasContentIssue false
  • English
  • Français

DIGITAL TWINS - DEFINITIONS, CLASSES AND BUSINESS SCENARIOS FOR DIFFERENT INDUSTRY SECTORS

Published online by Cambridge University Press:  27 July 2021

Fabian Wilking ,
Benjamin Schleich  and
Sandro Wartzack
Fabian Wilking*
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Benjamin Schleich
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
Sandro Wartzack
Affiliation:
Friedrich-Alexander-Universität Erlangen-Nürnberg
*
Wilking, Fabian, Friedrich-Alexander-Universität Erlangen-Nürnberg, Engineering Design, 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.

Over the recent years, several attempts were made to define the concept of the Digital Twin and to create a generic view for utilizing it within the industry. Still, many industry sectors are not able to transfer a generic definition into their product portfolio, as Digital Twins differ from each other to the same degree as physical products differ from each other. Hence, it is crucial to enlarge the definition towards a classification and business scenarios which enable sector specific views on the concept of the Digital Twin and help SME to utilize the concept towards their products. Future engineers will have to design physical products besides a digital counterpart and therefore have to identify interdependencies between these two products during the development. This paper discusses a generic definition of a Digital Twin that can be applied throughout different sectors as well as a classification for Digital Twins to enable the implementation of the concept on several maturity levels regarding the constraints of the product portfolio. In addition, these classes are viewed in different business scenarios and an outlook is given to further increase the usability of Digital Twins within new industry sectors.

Keywords

Digital TwinProduct-Service Systems (PSS)Business models and considerationsSystems Engineering (SE)
Type
Article
Information
Proceedings of the Design Society , Volume 1: ICED21 , August 2021 , pp. 1293 - 1302
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

Gabor, T., Belzner, L., Kiermeier, M., Beck, M.T. and Neitz, A. (2016), “A Simulation-Based Architecture for Smart Cyber-Physical Systems”, in Kounev, S., Giese, H., Liu, J. and Computing, I.I.C.o.A. (Eds.), 2016 IEEE International Conference on Autonomic Computing: 18-22 July 2016, Würzburg, Germany proceedings, 7/17/2016 - 7/22/2016, Wuerzburg, Germany, IEEE, Piscataway, NJ, pp. 374–379.Google Scholar
Gartner (2018), “5 Trends Emerge in the Gartner Hype Cycle for Emerging Technologies”, available at: https://www.gartner.com/smarterwithgartner/5-trends-emerge-in-gartner-hype-cycle-for-emerging-technologies-2018/ (accessed 21 July 2020).Google Scholar
Grieves, M. and Vickers, J. (2017), “Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems”, in Kahlen, F.-J., Flumerfelt, S. and Alves, A. (Eds.), Transdisciplinary perspectives on complex systems: New findings and approaches, Vol. 89, Springer International Publishing, Switzerland, pp. 85–113.CrossRefGoogle Scholar
Hribernik, K., Wuest, T. and Thoben, K.-D. (2013), “Towards Product Avatars Representing Middle-of-Life Information for Improving Design, Development and Manufacturing Processes”, in Kovács, G.L. and Kochan, D. (Eds.), Digital Product and Process Development Systems: IFIP TC 5 International Conference, NEW PROLAMAT 2013, Dresden, Germany, October 10-11, 2013. Proceedings, IFIP Advances in Information and Communication Technology, Vol. 411, Imprint: Springer, Berlin, Heidelberg, pp. 85–96.CrossRefGoogle Scholar
Kritzinger, W., Karner, M., Traar, G., Henjes, J. and Sihn, W. (2018), “Digital Twin in manufacturing: A categorical literature review and classification”, IFAC-PapersOnLine, Vol. 51 No. 11, pp. 1016–1022.CrossRefGoogle Scholar
Kuhn, T. (2017), “Digitaler Zwilling”, Informatik-Spektrum, Vol. 40 No. 5, pp. 440–444.CrossRefGoogle Scholar
Kunath, M. and Winkler, H. (2018), “Integrating the Digital Twin of the manufacturing system into a decision support system for improving the order management process”, Procedia CIRP, Vol. 72, pp. 225–231.CrossRefGoogle Scholar
Lee, J., Lapira, E., Bagheri, B. and Kao, H.-a. (2013), “Recent advances and trends in predictive manufacturing systems in big data environment”, Manufacturing Letters, Vol. 1 No. 1, pp. 38–41.CrossRefGoogle Scholar
Ríos, J., Hernández, J., Oliva, M. and Mas, F. (2015), “Product Avatar as Digital Counterpart of a Physical Individual Product: Literature Review and Implications in an Aircraft”, 22nd International Conference on Concurrent Engineering.Google Scholar
Rosen, R., Wichert, G. von, Lo, G. and Bettenhausen, K. d. (2015), “About The Importance of Autonomy and Digital Twins for the Future of Manufacturing”, IFAC-PapersOnLine, Vol. 48 No. 3, pp. 567–572.CrossRefGoogle Scholar
Schleich, B., Anwer, N., Mathieu, L. and Wartzack, S. (2017), “Shaping the digital twin for design and production engineering”, CIRP Annals, Vol. 66 No. 1, pp. 141–144.CrossRefGoogle Scholar
Schleich, B., Dittrich, M.-A., Clausmeyer, T., Damgrave, R., Erkoyuncu, J.A., Haefner, B., Lange, J. de, Plakhotnik, D., Scheidel, W. and Wuest, T. (2019), “Shifting value stream patterns along the product lifecycle with digital twins”, Procedia CIRP, Vol. 86, pp. 3–11.CrossRefGoogle Scholar
Schluse, M. and Rossmann, J. (2016), “From simulation to experimentable digital twins: Simulation-based development and operation of complex technical systems”, in 2016 IEEE International Symposium on Systems Engineering (ISSE), 10/3/2016 - 10/5/2016, Edinburgh, United Kingdom, IEEE, [S.l.], pp. 1–6.CrossRefGoogle Scholar
Schroeder, G.N., Steinmetz, C., Pereira, C.E. and Espindola, D.B. (2016), “Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange”, IFAC-PapersOnLine, Vol. 49 No. 30, pp. 12–17.CrossRefGoogle Scholar
Schuh, G., Dolle, C. and Tonnes, C. (2018), “Methodology for the derivation of a digital shadow for engineering management”, in 2018 IEEE Technology and Engineering Management Conference (TEMSCON), 6/28/2018 - 7/1/2018, Evanston, IL, IEEE, pp. 1–6.Google Scholar
Stark, R., Anderl, R., Thoben, K.-D. and Wartzack, S. (2020), “WiGeP-Positionspapier: „Digitaler Zwilling”, ZWF Zeitschrift für wirtschaftlichen Fabrikbetrieb, Vol. 115 No. special, pp. 47–50.CrossRefGoogle Scholar
Stark, R., Fresemann, C. and Lindow, K. (2019), “Development and operation of Digital Twins for technical systems and services”, CIRP Annals, Vol. 68 No. 1, pp. 129–132.CrossRefGoogle Scholar
Tao, F., Sui, F., Liu, A., Qi, Q., Zhang, M., Song, B., Guo, Z., Lu, S.C.-Y. and Nee, A.Y.C. (2019a), “Digital twin-driven product design framework”, International Journal of Production Research, Vol. 57 No. 12, pp. 3935–3953.CrossRefGoogle Scholar
Tao, F., Zhang, M. and Nee, A.Y.C. (2019b), Digital Twin Driven Smart Manufacturing, Elsevier.Google Scholar
Wilking, F., Schleich, B. and Wartzack, S. (2020), “MBSE along the Value Chain – An Approach for the Compensation of additional Effort”, in 2020 IEEE 15th International Conference of System of Systems Engineering (SoSE), 02.06.2020 - 04.06.2020, Budapest, Hungary, IEEE, pp. 61–66.CrossRefGoogle Scholar