The DOI matches its Crossref record; 50 of the 50 references it cites were found in a registry or an index.
A blockchain enabled Cyber-Physical System architecture for Industry 4.0 manufacturing systems
Abstract
Abstract Cyber-Physical Production Systems (CPPSs) are complex manufacturing systems which aim to integrate and synchronize machine world and manufacturing facility to the cyber computational space. However, having intensive interconnectivity and a computational platform is crucial for real-world implementation of CPPSs. In this paper, the potential impacts of blockchain technology in development and realization of real-world CPPSs are discussed. A unified three-level blockchain architecture is proposed as a guideline for researchers and industries to clearly identify the potentials of blockchain and adapt, develop, and incorporate this technology with their manufacturing developments towards Industry 4.0.
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Citations
Cites
A Cyber-Physical Systems architecture for Industry 4.0-based manufacturing systems
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Self-citationBlockchains and smart contracts for the internet of things
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Cloud Computing and Grid Computing 360-Degree Compared
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Service Innovation and Smart Analytics for Industry 4.0 and Big Data Environment
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Self-citationBlockchain for IoT security and privacy: The case study of a smart home
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Cited by
Moustafa, N. (2021) · Sustainable Cities and Society · doi:10.1016/j.scs.2021.102994 · Cited by 721
Jamwal, A., Agrawal, R., Sharma, M., & Giallanza, A. (2021) · Applied Sciences · doi:10.3390/app11125725 · Cited by 458
Khan, S. A. R., Razzaq, A., Yu, Z., & Miller, S. (2021) · Business Strategy and the Environment · doi:10.1002/bse.2853 · Cited by 404
RetractedToward human-centric smart manufacturing: A human-cyber-physical systems (HCPS) perspective
Wang, B., Zheng, P., Yin, Y., Shih, A., & Wang, L. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.05.005 · Cited by 365
Kumar, S., Lim, W. M., Sivarajah, U., & Kaur, J. (2022) · Information Systems Frontiers · doi:10.1007/s10796-022-10279-0 · Cited by 359
Metadata
- Authors
- Lee, J., Azamfar, M., & Singh, J.
- Venue
- Manufacturing Letters
- Publisher
- Elsevier BV
- Published
- 2019-04
- Volume
- 20
- Pages
- 34-39
- ISSN
- 2213-8463 (ISSN-L)
- OpenAlex
- W2946753740
- Cited by
- 265
- References
- 50
- FWCI
- 28.99
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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