Skip to main content

Digital Twins: A General Overview of the Biopharma Industry

  • Chapter
  • First Online:
Digital Twins

Abstract

This chapter gives an industry perspective of how digital twins are tangibly translated, implemented, and used in a biopharmaceutical environment. Technical prerequisites and components including data modeling, the lifecycle, and different skills which are required from people to be put together and collaborate efficiently with digital twins are discussed with practical examples which have been implemented in labs and in manufacturing.

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 259.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 329.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 329.99
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

Similar content being viewed by others

References

  1. Chhetri SR, Al Faruque MA (2020) IoT-enabled living digital twin modeling. In: Data-driven modeling of cyber-physical systems using side-channel analysis. Springer, Cham, pp 155–182. https://doi.org/10.1007/978-3-030-37,962-9_8

    Chapter  Google Scholar 

  2. Cheng J et al (2018) Industrial IoT in 5G environment towards smart manufacturing. J Indus Information Integr 10:10–19

    Article  Google Scholar 

  3. Tao F, Zhang M (2017) Digital twin shop-floor: a new shop-floor paradigm towards smart manufacturing. IEEE Access 5:20418–20,427. https://doi.org/10.1109/ACCESS.2017.2756069

    Article  Google Scholar 

  4. Marucci L, Barberis M, Karr J, Ray O, Race P, Andrade M, Grierson C, Hoffmann SA, Landon S, Rech EL, Rees-Garbutt J, Seabrook R, Shaw W, Woods C (2020) Computer-aided whole-cell design: taking a holistic approach by integrating synthetic with systems biology. Front Bioeng Biotechnol:8. https://doi.org/10.3389/fbioe.2020.00942

  5. Weyer S, Meyer T, Ohmer M, Gorecky D, Zühlke D (2016) Future modeling and simulation of CPS-based factories: an example from the automotive industry. IFAC-PapersOnLine 49(31):97–102

    Article  Google Scholar 

  6. Dahmen U, Rossmann J (2018) Experimentable digital twins for a modeling and simulation-based engineering approach. In: 2018 IEEE international systems engineering symposium (ISSE). IEEE, Piscataway, pp 1–8. https://doi.org/10.1109/SysEng.2018.8544383

    Chapter  Google Scholar 

  7. Steinmetz C, Rettberg A, Ribeiro F, Schroeder G, Pereira C (2018) Internet of things ontology for digital twin in cyber physical systems. In: 2018 VIII Brazilian symposium on computing systems engineering (SBESC). IEEE, Piscataway, pp 154–159. https://doi.org/10.1109/SBESC.2018.00030

    Chapter  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Michelangelo Canzoneri .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Nature Switzerland AG

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Canzoneri, M., De Luca, A., Harttung, J. (2020). Digital Twins: A General Overview of the Biopharma Industry. In: Herwig, C., Pörtner, R., Möller, J. (eds) Digital Twins. Advances in Biochemical Engineering/Biotechnology, vol 177. Springer, Cham. https://doi.org/10.1007/10_2020_157

Download citation

Publish with us

Policies and ethics