Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods-Reference-Cited by-同舟云学术

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Interoperability Assessment Model in Industrial Maintenance According to Digital Twin Concept Based on Multicriteria Decision Support Methods

Published:2023-08-25 Issue: Volume: Page:52-59
ISSN:2195-4356
Container-title:Flexible Automation and Intelligent Manufacturing: Establishing Bridges for More Sustainable Manufacturing Systems
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Author:

Helmann Alexandre^ORCID,Leal Junior Ricardo Pacheco^ORCID,de Camargo Lucas Raduy Gomes^ORCID,Tiepolo Leonnardo Massimo^ORCID,Deschamps Fernando^ORCID,de Freitas Rocha Loures Eduardo^ORCID

Publisher

Springer Nature Switzerland

Link

https://link.springer.com/content/pdf/10.1007/978-3-031-38165-2_7

Reference19 articles.

1. Frank, A.G., Dalenogare, L.S., Ayala, N.F.: Industry 4.0 technologies: implementation patterns in manufacturing companies. Int. J. Prod. Econ. 210, 15–26 (2019)

2. Lee, J., Kao, H.-A., Yang, S.: Service innovation and smart analytics for industry 4.0 and big data environment. Procedia Cirp 16, 3–8 (2014)

3. Monostori, L., et al.: Cyber-physical systems in manufacturing. Cirp Ann. 65(2), 621–641 (2016)

4. Lee, J., Bagheri, B., Kao, H.-A.: A cyber-physical systems architecture for industry 4.0-based manufacturing systems. Manuf. Lett. 3, 18–23 (2015)

5. Grieves, M., Vickers, J.: Digital twin: mitigating unpredictable, undesirable emergent behavior in complex systems. Transdiscipl. Perspect. Complex Syst. New Find. Approaches, 85–113 (2017)

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