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How Digital Twins Enable the Next Level of PLM – A Guide for the Concept and the Implementation in the Internet of Everything Era

  • Christian Voell
  • Prodip Chatterjee
  • Andreas Rauch
  • Julius Golovatchev
Conference paper
Part of the IFIP Advances in Information and Communication Technology book series (IFIPAICT, volume 540)

Abstract

The idea of a digital twin as a virtual representation of a product is not new. However, the modern IoE (Internet of Everything) technology is able to cover a new dimension in terms of monitoring and controlling an operating state of a products or process. The potential is high to reach a new maturity level in all PLM processes. Unfortunately, it is a very complex topic and has a high impact on internal and external processes. The technical challenges are spread in different domains. The business value is hard to see. Therefore the risks are also high and a well-grounded strategy is necessary. This includes an organic growth with customer benefit and a consistent change management in the company.

Besides a successful implementations of digital twins this guide provides a pragmatic approach to get access to the digital twin technology. It covers the range from the conceptual understanding of a digital twin to a successful implementation with a prototype.

Keywords

Digital twin Internet of Everything (IOE) PLM Prototyping Traceability and performance 

References

  1. 1.
    Glaessgen, E.H., Spargel, D.S.: The digital twin paradigm for future NASA and U.S. air force vehicles. In: 53rd Structures, Structural Dynamics, and Materials Conference, Honolulu, Hawaii, 23–26 April 2012Google Scholar
  2. 2.
    Tao, F., Cheng, J., Qi, Q., et al.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94, 3563–3576 (2018).  https://doi.org/10.1007/s00170-017-0233-1CrossRefGoogle Scholar
  3. 3.
    Gartner Says 8.4 Billion Connected “Things” Will Be in Use in 2017, Up 31 Percent From 2016 (2017). https://www.gartner.com/newsroom/id/3598917
  4. 4.
    Marr, B.: Big Data: 20 Mind-Boggling Facts Everyone Must Read. Forbes (2015). https://www.forbes.com/sites/bernardmarr/2015/09/30/big-data-20-mind-boggling-facts-everyone-must-read/#376956da17b1
  5. 5.
    Grieves, M.: Origins of the Digital Twin Concept, pp. 226–242. Springer, Montreal (2016).  https://doi.org/10.13140/RG.2.2.26367.61609. enterprises
  6. 6.
    Auer, S., Lange-Bever C.: Digital Twin, Concept, State and Reference Model. Working Paper (2017)Google Scholar
  7. 7.
    Lukowski, G., Rauch, A., Rosendahl, T.: The virtual representation of the world is emerging. In: Krüssel, P. (eds.) Future Telco. Springer, Cham (2018).  https://doi.org/10.1007/978-3-319-77724-5_14
  8. 8.
    Warwick, G.: GE Advances Analytical Maintenance With Digital Twins. Aviation Week (2015). http://aviationweek.com/optimizing-engines-through-lifecycle/ge-advances-analytical-maintenance-digital-twins
  9. 9.
    Darling, D.: Meet your digital twin, they will change your business. Australian Financial Review (2018). http://www.afr.com/technology/meet-your-digital-twin-they-will-change-your-business-20180422-h0z3t2
  10. 10.
    Presseportal: Lufthansa Technik präsentiert “AVIATAR” (2017). https://www.presseportal.de/pm/55257/3620492
  11. 11.
    DesignNews: PLM and Digitalization Will Redefine Engineering and Manufacturing (2015). https://www.designnews.com/alternative-energy/plm-and-digitalization-will-redefine-engineering-and-manufacturing/93473115047495
  12. 12.
    Moore, C.: The Virtual Singapore project aims to digitize an entire city. Digital Trends (2017). https://www.digitaltrends.com/home/virtual-singapore-project-mapping-out-entire-city-in-3d/
  13. 13.
    Budde, O., Golovatchev, J.: Produkte des intelligenten Markts. In: Aichele, C., Doleski, O.D. (eds.) Smart Market, pp. 593–620. Springer, Wiesbaden (2014).  https://doi.org/10.1007/978-3-658-02778-0_22CrossRefGoogle Scholar
  14. 14.
    Golovatchev, J., Schepurek, S.: Early prototyping in the digital industry: a management framework. In: Bouras, A., Eynard, B., Foufou, S., Thoben, K.-D. (eds.) PLM 2015. IAICT, vol. 467, pp. 335–343. Springer, Cham (2016).  https://doi.org/10.1007/978-3-319-33111-9_31CrossRefGoogle Scholar
  15. 15.
    Golovatchev, J., Felsmann, M.: Modulare und durchgängige Produktmodelle als Erfolgsfaktor zur Bedienung einer Omni-Channel-Architektur – PLM 4.0. In: Doleski, O.D. (ed.) Herausforderung Utility 4.0, pp. 199–210. Springer, Wiesbaden (2017).  https://doi.org/10.1007/978-3-658-15737-1_11CrossRefGoogle Scholar

Copyright information

© IFIP International Federation for Information Processing 2018

Authors and Affiliations

  1. 1.Detecon International GmbHCologneGermany

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