Skip to main content

Comparison of Digital Twin Development in Manufacturing and Maritime Domains

  • Conference paper
  • First Online:
Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future (SOHOMA 2019)

Part of the book series: Studies in Computational Intelligence ((SCI,volume 853))

Abstract

The concept of the digital twin is developing as a key enabler for the Industry 4.0 vision. The digital twin – a virtual representation of a real-world entity to facilitate integration with digital systems – has sparked research and application in different domains. A cross-domain comparison is presented through the review of the development of digital twins in the manufacturing and maritime domains. The comparison focuses on the needs for digital twins, conceptual and implementation frameworks, platforms, and real-world implementations in these two domains.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Hardcover Book
USD 219.99
Price excludes VAT (USA)
  • Durable hardcover edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

References

  1. Glaessgen, E., Stargel, D.: The digital twin paradigm for future NASA and U.S. Air Force vehicles. In: Structures, Structural Dynamics, and Materials Conference, pp. 1–14 (2012)

    Google Scholar 

  2. Kritzinger, W., Traar, G., Henjes, J., Sihn, W., Karner, M.: Digital twin in manufacturing: a categorical literature review and classification. IFAC-PapersOnLine 51(11), 1016–1022 (2018)

    Article  Google Scholar 

  3. Erikstad, S.O.: Merging physics, big data analytics and simulation for the next-generation digital twins. Proc. Symp. High-Perform. Mar. Veh. 11, 140–150 (2017)

    Google Scholar 

  4. Rosen, R., Von Wichert, G., Lo, G., Bettenhausen, K.D.: About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 28(3), 567–572 (2015)

    Article  Google Scholar 

  5. Heilig, L., Lalla-Ruiz, E., Voβ, S.: Digital transformation in maritime ports: analysis and a game theoretic framework. Netnomics 18, 227–254 (2017)

    Article  Google Scholar 

  6. Erikstad, S.O.: Design patterns for digital twin solutions in marine systems design and operations. Proc. Conf. Comput. IT Appl. Marit. Ind. 17, 354–363 (2018)

    Google Scholar 

  7. Erikstad, S.O.: Designing ship digital services. Proc. Conf. Comput. IT Appl. Marit. Ind. 18, 458–469 (2019)

    Google Scholar 

  8. Bao, J., Guo, D., Li, J., Zhang, J.: The modelling and operations for the digital twin in the context of manufacturing. Enterp. Inf. Syst. 13(4), 534–556 (2018)

    Article  Google Scholar 

  9. Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., Sui, F.: Digital twin-driven product design, manufacturing and service with big data. Int. J. Adv. Manuf. Technol. 94(9–12), 3563–3576 (2018)

    Article  Google Scholar 

  10. Bekker, A.: Exploring the blue skies potential of digital twin technology for a polar supply and research vessel. In: Proceedings of the 13th International Marine Design Conference Marine Design XIII (IMDC 2018), vol. 1, pp. 135–146 (2018)

    Google Scholar 

  11. Schleich, B., Anwer, N., Mathieu, L., Wartzack, S.: Shaping the digital twin for design and production engineering. CIRP Ann.-Manuf. Technol. 66(1), 141–144 (2017)

    Article  Google Scholar 

  12. Morais, D., Waldie, M., Roberts, P., David, P.: How to implement tech in shipbuilding: charting the course to success. SNAME Maritime Convention: The Society of Naval Architects and Marine Engineers (2018)

    Google Scholar 

  13. Van Os, J.: The digital twin throughout the lifecycle. Proc. Conf. Comput. IT Appl. Marit. Ind. 17, 482–488 (2018)

    Google Scholar 

  14. Roy, R., Tiwari, A., Stark, R., Lee, J.: Predictive big data analytics and cyber physical systems for TES systems. Proc. Inst. Mech. Eng. Part B: J. Eng. Manuf. 231(13), 2241 (2017)

    Article  Google Scholar 

  15. Alam, K.M., Sopena, A., El Saddik, A.: Design and development of a Cloud-based cyber-physical architecture for the Internet-of-Things. In: Proceedings - 2015 IEEE International Symposium on Multimedia, ISM 2015, pp. 459–464 (2016)

    Google Scholar 

  16. Alam, K.M., El Saddik, A.: C2PS: a digital twin architecture reference model for the Cloud-based cyber-physical systems. IEEE Access 5, 2050–2062 (2017)

    Article  Google Scholar 

  17. Drazen, D., Mondoro, A., Grisso, B.: Use of digital twins to enhance operational awareness and guidance. Proc. Conf. Comput. IT Appl. Marit. Ind. 18, 344–351 (2019)

    Google Scholar 

  18. Redelinghuys, A.J.H., Basson, A.H., Kruger, K.: A six-layer digital twin architecture for a manufacturing cell. In: Service Orientation in Holonic and Multi-Agent Manufacturing. Springer series Studies in Computational Intelligence, vol. 803 (2019)

    Google Scholar 

  19. Perera, L., Mo, B.: Ship performance and navigation information under high-dimensional digital models. J. Mar. Sci. Technol., 1–12 (2019)

    Google Scholar 

  20. Siemens AG.: MindSphere the Cloud-based, open IoT operating system for digital transformation. https://www.siemens.com/mindsphere%0A, https://www.plm.automation.siemens.com/media/global/en/Siemens_MindSphere_Whitepaper_tcm27-9395.pdf

  21. DNV GL.: Veracity – an open industry platform. https://www.dnvgl.com/data-platform/index.html

  22. DNV GL.: About Veracity. https://www.veracity.com/about

  23. Open simulation platform website. https://opensimulationplatform.com/

  24. DNV GL.: Open simulation platform launches with new partners. https://www.dnvgl.com/news/open-simulation-platform-launches-with-new-partners-115391

  25. Karanjkar, N., Joglekar, A., Mohanty, S., Prabhu, V., Raghunath, D., Sundaresan, R.: Digital twin for energy optimization in an SMT-PCB assembly line. In: IEEE Proceedings - 2018 IEEE International Conference on Internet of Things and Intelligence System, IOTAIS 2018, pp. 85–89 (2018)

    Google Scholar 

  26. Siemens AG.: Lofty prospects - thanks to a digital twin. https://new.siemens.com/global/en/company/stories/industry/tronrud-engineering-digital-twin.html

  27. Rolls-Royce.: Intelligent engine health monitoring. https://www.rolls-royce.com/products-and-services/civil-aerospace.aspx#/IntelligentEngine

  28. Siemens PLM.: Newport News Shipbuilding launches the digital shipyard. https://www.youtube.com/watch?v=93za-vO_ffs

  29. Siemens PLM.: Sailing on the waves of silence – Princess Yachts. https://www.youtube.com/watch?v=3XvDUQbvKpk

  30. Port of Rotterdam Authority.: Port of Rotterdam puts Internet of Things platform into action. https://www.portofrotterdam.com/en/news-and-press-releases/port-of-rotterdam-puts-internet-of-things-platform-into-operation

  31. Rolls-Royce.: Rolls-Royce Marine Energy Management. https://www.youtube.com/watch?v=Tpv6ldOK3jw

  32. Magyar, J.: Digital twin helps solve arctic challenges at remote wind farm, SAP Blog. https://blogs.sap.com/2016/09/21/digital-twin-helps-solve-arctic-challenges-at-remote-wind-farm/

Download references

Acknowledgements

Funding from the National Research Foundation (NRF) through the South African National Antarctic Programme (SANAP Grant No.110737) is thankfully recognised.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Karel Kruger .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Taylor, N., Human, C., Kruger, K., Bekker, A., Basson, A. (2020). Comparison of Digital Twin Development in Manufacturing and Maritime Domains. In: Borangiu, T., Trentesaux, D., Leitão, P., Giret Boggino, A., Botti, V. (eds) Service Oriented, Holonic and Multi-agent Manufacturing Systems for Industry of the Future. SOHOMA 2019. Studies in Computational Intelligence, vol 853. Springer, Cham. https://doi.org/10.1007/978-3-030-27477-1_12

Download citation

Publish with us

Policies and ethics