A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives-Reference-Cited by-同舟云学术

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A state-of-the-art survey of Digital Twin: techniques, engineering product lifecycle management and business innovation perspectives

Published:2019-11-18 Issue:6 Volume:31 Page:1313-1337
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Lim Kendrik Yan Hong,Zheng Pai^ORCID,Chen Chun-Hsien

Funder

National Research Foundation Singapore

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

http://link.springer.com/content/pdf/10.1007/s10845-019-01512-w.pdf

Reference146 articles.

1. Abramovici, M., Göbel, J. C., & Dang, H. B. (2016). Semantic data management for the development and continuous reconfiguration of smart products and systems. CIRP Annals - Manufacturing Technology,65(1), 185–188. https://doi.org/10.1016/j.cirp.2016.04.051.

2. Adrodegari, F., Saccani, N., Kowalkowski, C., & Vilo, J. (2017). PSS business model conceptualization and application. Production Planning and Control,28(15), 1251–1263. https://doi.org/10.1080/09537287.2017.1363924.

3. Alam, K. M., & El Saddik, A. (2017). C2PS: A digital twin architecture reference model for the cloud-based cyber-physical systems. IEEE Access,5, 2050–2062. https://doi.org/10.1109/ACCESS.2017.2657006.

4. Angrish, A., Starly, B., Lee, Y. S., & Cohen, P. H. (2017). A flexible data schema and system architecture for the virtualization of manufacturing machines (VMM). Journal of Manufacturing Systems,45, 236–247. https://doi.org/10.1016/j.jmsy.2017.10.003.

5. Arafsha, F., Laamarti, F., & El Saddik, A. (2019). Cyber-physical system framework for measurement and analysis of physical activities. Electronics,8(2), 248. https://doi.org/10.3390/electronics8020248.

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