Advanced search
Publication Cover
International Journal of Computer Integrated Manufacturing Volume 34, 2021 - Issue 7-8: Digital Twin-enabled Smart Industrial Systems: Recent Developments and Future Perspectives
Submit an article Journal homepage
2,485
Views
12
CrossRef citations to date
0
Altmetric
Research Article

Digital twin-enabled smart industrial systems: a bibliometric review

Maria Pia CianoSchool of Industrial Engineering, Università Carlo Cattaneo - LIUC, Castellanza, ItalyCorrespondence[email protected]
ORCID Iconhttps://orcid.org/0000-0001-6120-8620
ORCID Icon,
Rossella PozziSchool of Industrial Engineering, Università Carlo Cattaneo - LIUC, Castellanza, Italy
,
Tommaso RossiSchool of Industrial Engineering, Università Carlo Cattaneo - LIUC, Castellanza, ItalyORCID Iconhttps://orcid.org/0000-0002-8002-0604
ORCID Icon &
Fernanda StrozziSchool of Industrial Engineering, Università Carlo Cattaneo - LIUC, Castellanza, ItalyORCID Iconhttps://orcid.org/0000-0003-0995-8824
ORCID Icon
Pages 690-708 | Received 29 Mar 2019, Accepted 05 Nov 2020, Published online: 16 Dec 2020

Citations (12)

Keep up to date with the latest research on this topic with citation updates for this article.

Subscribe to citation updates

Read on this site (7)

Pratik Maheshwari, Sachin Kamble, Amine Belhadi, Venkatesh Mani & Ashok Pundir. (2023) Digital twin implementation for performance improvement in process industries- A case study of food processing company. International Journal of Production Research 61:23, pages 8343-8365.
Read now
Orestis Spyrou, Cor Verdouw & William Hurst. (2023) A digital twin reference architecture for pharmaceutical cannabis production. International Journal of Computer Integrated Manufacturing 0:0, pages 1-21.
Read now
Panagiotis Aivaliotis, Zoi Arkouli, Konstantinos Georgoulias & Sotiris Makris. (2023) Methodology for enabling dynamic digital twins and virtual model evolution in industrial robotics - a predictive maintenance application. International Journal of Computer Integrated Manufacturing 36:7, pages 947-965.
Read now
Shreyanshu Parhi, Kanchan Joshi & Milind Akarte. (2023) Decision-making in smart manufacturing: A framework for performance measurement. International Journal of Computer Integrated Manufacturing 36:2, pages 190-218.
Read now
Paolo Franceschi, Stefano Mutti, Kiara Ottogalli, Daniel Rosquete, Diego Borro & Nicola Pedrocchi. (2022) A framework for cyber-physical production system management and digital twin feedback monitoring for fast failure recovery. International Journal of Computer Integrated Manufacturing 35:6, pages 619-632.
Read now
Jyrki Savolainen & Mikkel Stein Knudsen. (2022) Contrasting digital twin vision of manufacturing with the industrial reality. International Journal of Computer Integrated Manufacturing 35:2, pages 165-182.
Read now
Jing Wang, Xinchun Li, Peng Wang & Quanlong Liu. (2022) Bibliometric analysis of digital twin literature: a review of influencing factors and conceptual structure. Technology Analysis & Strategic Management 0:0, pages 1-15.
Read now

Articles from other publishers (5)

Jiju Antony, Olivia McDermott, Daryl Powell & Michael Sony. (2022) The evolution and future of lean Six Sigma 4.0. The TQM Journal 35:4, pages 1030-1047.
Crossref
Mohd Javaid, Abid Haleem & Rajiv Suman. (2023) Digital Twin applications toward Industry 4.0: A Review. Cognitive Robotics 3, pages 71-92.
Crossref
J. Preethikaharshini, K. Naresh, G. Rajeshkumar, V. Arumugaprabu, Muhammad A. Khan & K. A. Khan. (2022) Review of advanced techniques for manufacturing biocomposites: non-destructive evaluation and artificial intelligence-assisted modeling. Journal of Materials Science 57:34, pages 16091-16146.
Crossref
Zuoyue Huang & Zhitao Yan. (2022) Digital Twins Model of Industrial Product Management and Control Based on Lightweight Deep Learning. Computational Intelligence and Neuroscience 2022, pages 1-16.
Crossref
Ján Vachálek, Dana Šišmišová, Pavol Vašek, Ivan Fiťka, Juraj Slovák & Matej Šimovec. (2021) Design and Implementation of Universal Cyber-Physical Model for Testing Logistic Control Algorithms of Production Line’s Digital Twin by Using Color Sensor. Sensors 21:5, pages 1842.
Crossref

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Order Reprints Request Corporate Permissions

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

Request Academic Permissions

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.

Supercharge Your Next Research Paper: Research and write your next paper with Jenni AI.

Related research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.