The emergence of cognitive digital twin: vision, challenges and opportunities-Reference-Cited by-同舟云学术

The emergence of cognitive digital twin: vision, challenges and opportunities

Published:2021-12-24 Issue: Volume: Page:1-23
ISSN:0020-7543
Container-title:International Journal of Production Research
language:en
Short-container-title:International Journal of Production Research

Author:

Zheng Xiaochen¹,Lu Jinzhi¹^ORCID,Kiritsis Dimitris¹^ORCID

Affiliation:

1. ICT for Sustainable Manufacturing, Ecole Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland

Funder

H2020 project FACTLOG

EU H2020 project QU4LITY

Publisher

Informa UK Limited

Subject

Industrial and Manufacturing Engineering,Management Science and Operations Research,Strategy and Management

Link

https://www.tandfonline.com/doi/pdf/10.1080/00207543.2021.2014591

Reference85 articles.

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2. Abburu, Sailesh, Arne J. Berre, Michael Jacoby, Dumitru Roman, Ljiljana Stojanovic, and Nenad Stojanovic. 2020b. “COGNITWIN-Hybrid and Cognitive Digital Twins for the Process Industry.” In 2020 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC), 1–8. IEEE.

3. Adl, Ahmed El. 2016. The Cognitive Digital Twins: Vision, Architecture Framework and Categories. Technical Report. https://www.slideshare.net/slideshow/embed_code/key/JB60Xqcn.

4. Albayrak, Özlem, and Perin Ünal. 2020. “Smart Steel Pipe Production Plant via Cognitive Digital Twins: A Case Study on Digitalization of Spiral Welded Pipe Machinery.” In Cybersecurity workshop by European Steel Technology Platform, 132–143. Springer.

5. Al Faruque, Mohammad Abdullah, Deepan Muthirayan, Shih-Yuan Yu, and Pramod P Khargonekar. 2021. “Cognitive Digital Twin for Manufacturing Systems.” In 2021 Design, Automation & Test in Europe Conference & Exhibition (DATE), 440–445. IEEE.

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