Skip to main content

Abstract

Industry 4.0 Paradigm unleashed tremendous opportunities to boost economical and societal transitions for the business and improved living standards of society, while Industry 5.0 is extending previous technological breakthrough in steering transformation, stimulating industry and society to be human-centric, sustainable, resilient, and green. Digital Twins, in turn, play a key role as enabler in such transformation. Heterogeneity of manufacturing technologies imposes specific challenges in developing and adopting Digital Twins. The main goal of this paper is to propose, assess and justify a robust and open framework of Digital Twins for manufacturing technologies, such as collaborative and mobile robots, as well as subtractive manufacturing machines. A framework eventually can be used by SME, while also in Educational and Research Institutions.

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

Access this chapter

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Similar content being viewed by others

References

  1. Tao, F., et al.: Digital twin-driven product design framework. Int. J. Prod. Res. 57(12), 3935–3953 (2019)

    Article  Google Scholar 

  2. Tao, F., Zhang, M., Nee, A.Y.C.: Digital Twin Driven Smart Manufacturing. Academic Press, London (2019)

    Google Scholar 

  3. Huang, S., Wang, B., Li, X., Zheng, P., Mourtzis, D., Wang, L.: Industry 5.0 and Society 5.0—Comparison, complementation and co-evolution. J. Manuf. Syst. 64, 424–428 (2022)

    Google Scholar 

  4. Fuller, A., Fan, Z., Day, C., Barlow, C.: Digital twin: enabling technologies, challenges and open research. IEEE Access 8, 108952–108971 (2020)

    Article  Google Scholar 

  5. Qi, Q., et al.: Enabling technologies and tools for digital twin. J. Manuf. Syst. 58, 3–21 (2021)

    Article  Google Scholar 

  6. Semeraro, C., Lezoche, M., Panetto, H., Dassisti, M.: Digital twin paradigm: a systematic literature review. Comput. Ind. 130, 103469 (2021)

    Google Scholar 

  7. Stavropoulos, P., Mourtzis, D.: Digital twins in industry 4.0. In: Design and Operation of Production Networks for Mass Personalization in the Era of Cloud Technology, pp. 277–316. Elsevier (2022)

    Google Scholar 

  8. Pires, F., Cachada, A., Barbosa, J., Moreira, A.P., Leitão, P.: Digital twin in industry 4.0: technologies, applications and challenges. In: 17th International Conference on Industrial Informatics (INDIN), vol. 1, pp. 721–726. IEEE (2019)

    Google Scholar 

  9. Gilchrist, A.: Industry 4.0: The Industrial Internet of Things. Apress, Berkeley (2016)

    Google Scholar 

  10. Monnier, L.V., Shao, G., Foufou, S.: A methodology for digital twins of product lifecycle supported by digital thread. In: Proceedings of the ASME 2022 International Mechanical Engineering Congress and Exposition, Volume 2B: Advanced Manufacturing, Columbus, Ohio, USA, October 30–November 3 2022. V02BT02A023

    Google Scholar 

  11. Grieves, M.: Digital twin: manufacturing excellence through virtual factory replication. White Paper (2014)

    Google Scholar 

  12. Mihai, S., et al.: A digital twin framework for predictive maintenance in industry 4.0. (2021)

    Google Scholar 

  13. Leng, J., et al.: Industry 5.0: prospect and retrospect. J. Manuf. Syst. 65, 279–295 (2022)

    Article  Google Scholar 

  14. Nahavandi, S.: Industry 5.0 – a human-centric solution. Sustainability 11(16), 4371 (2019)

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Paolo Chiabert .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2024 IFIP International Federation for Information Processing

About this paper

Check for updates. Verify currency and authenticity via CrossMark

Cite this paper

Asranov, M., Aliev, K., Chiabert, P., Inoyatkhodjaev, J. (2024). A Digital Twin Framework for Industry 4.0/5.0 Technologies. In: Danjou, C., Harik, R., Nyffenegger, F., Rivest, L., Bouras, A. (eds) Product Lifecycle Management. Leveraging Digital Twins, Circular Economy, and Knowledge Management for Sustainable Innovation. PLM 2023. IFIP Advances in Information and Communication Technology, vol 701. Springer, Cham. https://doi.org/10.1007/978-3-031-62578-7_2

Download citation

  • DOI: https://doi.org/10.1007/978-3-031-62578-7_2

  • Published:

  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-62577-0

  • Online ISBN: 978-3-031-62578-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics