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Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges
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Cited by
Luthra, S., & Mangla, S. K. (2018) · Process Safety and Environmental Protection · doi:10.1016/j.psep.2018.04.018 · Cited by 909
“Leitão et al., 2016; Bedekar, 2017; Pfohl et al., 2017 Lack of competency in adopting/applying new business models Current industrial system needs highly customized and flexible environment to compete globally.”
BackgroundA Survey on Industrial Internet of Things: A Cyber-Physical Systems Perspective
Xu, H., Yu, W., Griffith, D., & Golmie, N. (2018) · IEEE Access · doi:10.1109/access.2018.2884906 · Cited by 637
Connecting circular economy and industry 4.0
Rajput, S., & Singh, S. P. (2019) · International Journal of Information Management · doi:10.1016/j.ijinfomgt.2019.03.002 · Cited by 623
Smart manufacturing: Characteristics, technologies and enabling factors
Mittal, S., Khan, M. A., Romero, D., & Wuest, T. (2019) · Proceedings of the Institution of Mechanical Engineers, Part B: Journal of Engineering Manufacture · doi:10.1177/0954405417736547 · Cited by 560
A critical investigation of Industry 4.0 in manufacturing: theoretical operationalisation framework
Fatorachian, H., & Kazemi, H. (2018) · Production Planning & Control · doi:10.1080/09537287.2018.1424960 · Cited by 522
Metadata
- Authors
- Leitão, P., Colombo, A. W., & Karnouskos, S.
- Venue
- Computers in Industry
- Publisher
- Elsevier BV
- Published
- 2016-09
- Volume
- 81
- Pages
- 11-25
- ISSN
- 0166-3615 (ISSN-L)
- OpenAlex
- W1718306640
- Cited by
- 672
- References
- 1
- FWCI
- 97.82
- Type
- journal article
- Language
- en
- Open access
- green
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
- Funders
- European Commission
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- Leitão, P., Colombo, A. W., & Karnouskos, S. (2016). Industrial automation based on cyber-physical systems technologies: Prototype implementations and challenges. Computers in Industry. https://doi.org/10.1016/j.compind.2015.08.004
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
