Skip to main content

Digital Twin and Its Applications

  • Chapter
  • First Online:
Industry 4.0

Part of the book series: Emerging Trends in Mechatronics ((emerg. Trends in Mechatronics))

  • 714 Accesses

Abstract

Increasing product requirements and rapidly changing markets require highly precise product developments in ever shorter cycles. Dependencies and boundary conditions of the later production have to be considered already in the early phases of the product design to ensure the product function. This leads to increasing requirements in the product engineering process. Precise designs with increasing complexity and many variables must be derived.

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 79.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 99.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info
Hardcover Book
USD 129.99
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. Stargel EG (2012) The digital twin paradigm for future NASA and U.S. Air force vehicles. içinde

    Google Scholar 

  2. Chen Y (2017) Integrated and intelligent manufacturing: perspectives and enablers (s. pp 588–595). içinde

    Google Scholar 

  3. Mrad ZL (2018) The role of data fusion in predictive maintenance using digital twin

    Google Scholar 

  4. Intell YZ (2018) An application framework of digital twin and its case study (s. pp 1141–1153). içinde

    Google Scholar 

  5. Roy RV (2018) Digital twins: understanding the added value of integrated models for through-life engineering services

    Google Scholar 

  6. Lucero AM (2019) Leveraging digital twin technology in model-based systems engineering

    Google Scholar 

  7. Sihn WK (2017) Digital twin in manufacturing: a categorical literature review and classification

    Google Scholar 

  8. Barricelli BR, Casiraghi E, Gliozzo J, Petrini A, Valtolina S (2020) Human digital twin for fitness management. IEEE Access 8:26637–26664. https://moh-it.pure.elsevier.com/en/publications/human-digital-twin-for-fitness-management. adresinden alındı

  9. Schmich M (2016) How siemens PLM is prepared to help customers' digital transformation | thought leadership. January 7, 2022 tarihinde Siemens Blogs: https://blogs.sw.siemens.com/thought-leadership/2016/06/21/how-siemens-plm-is-prepared-to-help-customers-digital-transformation/ adresinden alındı

  10. Digital Twin for the Digital Power Plant (2016) 01 07, 2022 tarihinde GE Digital Twin: Analytic Engine for the Digital Power Plant: https://www.ge.com/digital/sites/default/files/download_assets/Digital-Twin-for-the-digital-power-plant-.pdf adresinden alındı

  11. Liu M, Fang S, Dong H, Xu C (2021) Review of digital twin about concepts, technologies, and industrial applications. J Manuf Syst 58:346–361. https://www.sciencedirect.com/science/article/pii/S0278612520301072 adresinden alındı

  12. Tao F, Sui F, Liu A, Qi Q, Zhang M, Song B, Guo Z, Lu SC, Nee AY (2018) Digital twin-driven product design framework. Int J Prod Res 57(12):3935–3953. https://doi.org/10.1080/00207543.2018.1443229

  13. Negri E, Fumagalli L, Macchi M (2017) A review of the roles of digital twin in CPS-based production systems. Procedia Manuf 11:939–948. https://www.sciencedirect.com/science/article/pii/S2351978917304067#aep-article-footnote-id3 adresinden alındı

  14. Batty M (2018) Digital Twins. Environ Plann B Urban Anal City Sci 45(5):817–820. https://journals.sagepub.com/doi/full/https://doi.org/10.1177/2399808318796416?__cf_chl_jschl_tk__=aJjZw_hrcaqXJh1NG8eQBws0Rz1Jhdz_0iMIoeqF8IA-1641576345-0-gaNycGzNEKU. adresinden alındı

  15. Uttendorfer U, Hornberg O (tarih yok) (2022) Consulting: digital twin—UNITY. January 7, 2022 tarihinde UNITY consulting and innovation: https://www.unity.de/en/services/digital-twin/ adresinden alındı

  16. Palensky P, Cvetkovic M, Gusain D, Joseph A (2021) Digital twins and their use in future power systems [version 1; peer review: 1 approved, 1 approved with reservations]. Digit Twin 1(4). https://digitaltwin1.org/articles/1-4/v1 adresinden alındı

  17. Presenting Destination Earth: A Digital Replica of Our Planet (2021). January 7, 2022 tarihinde ECMWF: https://www.ecmwf.int/en/about/media-centre/news/2021/presenting-destination-earth-digital-replica-our-planet-adresinden-alındı

    Google Scholar 

  18. Xiao C (2017) The reason and coping measures of employees’ resistance to information system. J Hum Resour Sustain Stud 5(1):141–176

    Google Scholar 

  19. Hozdić E (2015) Smart factory for industry 4.0: a review. Int J Mod Manuf Technol 7(1):28–35

    Google Scholar 

  20. Rajagopal P (2002) An innovation—diffusion view of implementation of enterprise resource planning (ERP) systems and development of a research model. Inf Manage 40(2):87–114

    Article  Google Scholar 

  21. Kumaş E, Serpil E (2021) Endüstri 4.0’da Anahtar Teknoloji Olarak Dijital İkizler. J Polytech 24(2):691–701

    Google Scholar 

  22. Tao F (2018) Digital Twin in industry: state-of-the-art. IEEE Trans Industr Inf 15(4):2405–2415

    Article  Google Scholar 

  23. Helu M (2017) Reference architecture to integrate heterogeneous manufacturing systems for the digital thread. CIRP J Manuf Sci Technol 19:191–195

    Article  Google Scholar 

  24. Bevilacqua, M. (2020). Digital Twin reference model development to prevent operators’ risk in process plants. Smart Prod Oper Manage Indus 4.0 12(3):1088

    Google Scholar 

  25. Shao G (2020) Framework for a digital twin in manufacturing: scope and requirements. Manuf Lett 24:105–107

    Article  Google Scholar 

  26. Rosen R, Wichert GV (2015) About the importance of autonomy and digital twins for the future of manufacturing. IFAC-PapersOnLine 48(3):567–572

    Google Scholar 

  27. Ghosh AK (2019) Hidden Markov model-based digital twin construction for futuristic manufacturing systems. AI EDAM 33(3):317–331

    Google Scholar 

  28. Pisching MA (2018) An architecture based on RAMI 4.0 to discover equipment to process operations required by products. Comput Ind Eng 125:574–591

    Article  Google Scholar 

  29. Pressman R (2009) Software engineering a practitioner's approach (7 b)

    Google Scholar 

  30. Aheleroff S (2019) The degree of mass personalisation under industry 4.0. Procedia CIRP 81:1394–1399

    Article  Google Scholar 

  31. Kritzinger W (2018) Digital Twin in manufacturing: A categorical literature review and classification. IFAC-PapersOnLine 51(11):1016–1022

    Article  Google Scholar 

  32. Aheleroff S, Xu X (2021) Digital twin as a service (DTaaS) in industry 4.0: an architecture reference model. Adv Eng Inf 47:101225

    Google Scholar 

  33. Cimino C, Negri E, Fumagalli L (2019) Review of digital twin applications in manufacturing. Comput Indus 113. https://doi.org/10.1016/j.compind.2019.103130 adresinden alındı

  34. Park H, Srinivasan A, Bolsius R, Hsiao E, Toillion J, Shukla V (tarih yok) Real-time monitoring event analysis and monitoring

    Google Scholar 

  35. DHL Supply Chain deploys latest version of smart glasses worldwide. (2019). January 7, 2022 tarihinde Deutsche Post DHL Group: https://www.dpdhl.com/content/dam/dpdhl/en/media-relations/press-releases/2019/pr-smart-glasses-20190521.pdf adresinden alındı

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

    Google Scholar 

  37. Aivaliotis P, Georgoulias K, Chryssolouris G (2017) A calculation approach based on physical-based simulation models for predictive maintenance. In: International conference on engineering technology and innovation

    Google Scholar 

  38. Digital Twin of a Manufacturing Line: Helping Maintenance Decision-making. (tarih yok). anylogic: https://www.anylogic.com/digital-twin-of-a-manufacturing-line-helping-maintenance-decision-making adresinden alındı

  39. Baron K (tarih yok) Seeing double: digital twins make GE and baker hughes supply chain innovators | GE News. January 7, 2022 tarihinde General Electric: https://www.ge.com/news/reports/seeing-double-digital-twins-make-ge-baker-hughes-supply-chain-innovators adresinden alındı

  40. Wang J, Ye L, Gao RX, Li C, Zhang L (2018) Digital twin for rotating machinery fault diagnosis in smart manufacturing. Int J Prod Res

    Google Scholar 

  41. Gou H, Zhu Y, Zhang Y (2021) A digital twin-based layout optimization method for discrete manufacturing workshop. Int J Adv Manuf Technol 112:1307–1318. 10.1007/s00170-020-06568-0adresindenalındı

    Article  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to Merve Melis Ergün .

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 2023 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Ergün, M.M., Kocabay, A., Yesilcimen, Y.M., Turanli Parlaktuna, M. (2023). Digital Twin and Its Applications. In: Azizi, A., Barenji, R.V. (eds) Industry 4.0. Emerging Trends in Mechatronics. Springer, Singapore. https://doi.org/10.1007/978-981-19-2012-7_7

Download citation

  • DOI: https://doi.org/10.1007/978-981-19-2012-7_7

  • Published:

  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-19-2011-0

  • Online ISBN: 978-981-19-2012-7

  • eBook Packages: Computer ScienceComputer Science (R0)

Publish with us

Policies and ethics