The DOI matches its Crossref record; 3 of the 3 references it cites were found in a registry or an index.
Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges
Open accessAbstract
Due to the current structure of digital factory, it is necessary to build the smart factory to upgrade the manufacturing industry. Smart factory adopts the combination of physical technology and cyber technology and deeply integrates previously independent discrete systems making the involved technologies more complex and precise than they are now. In this paper, a hierarchical architecture of the smart factory was proposed first, and then the key technologies were analyzed from the aspects of the physical resource layer, the network layer, and the data application layer. In addition, we discussed the major issues and potential solutions to key emerging technologies, such as Internet of Things (IoT), big data, and cloud computing, which are embedded in the manufacturing process. Finally, a candy packing line was used to verify the key technologies of smart factory, which showed that the overall equipment effectiveness of the equipment is significantly improved.
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Citations
Cites
Edge computing: Vision and challenges
Shi, W., Cao, J., Zhang, Q., Li, Y., & Xu, L. (2016) · IEEE Internet of Things Journal · doi:10.1109/jiot.2016.2579198 · Cited by 8,733
Lasi, H., Fettke, P., Kemper, H.-G., Feld, T., & Hoffmann, M. (2014) · Business & Information Systems Engineering · doi:10.1007/s12599-014-0334-4 · Cited by 4,276
SDN and Virtualization Solutions for the Internet of Things: A Survey
Bizanis, N., & Kuipers, F. A. (2016) · IEEE Access · doi:10.1109/access.2016.2607786 · Cited by 282
Cited by
Industry 4.0, digitization, and opportunities for sustainability
Ghobakhloo, M. (2020) · Journal of Cleaner Production · doi:10.1016/j.jclepro.2019.119869 · Cited by 2,115
The future of manufacturing industry: a strategic roadmap toward Industry 4.0
Ghobakhloo, M. (2018) · Journal of Manufacturing Technology Management · doi:10.1108/jmtm-02-2018-0057 · Cited by 1,381
Feliciano-Cestero, M. M., Ameen, N., Kotabe, M., Paul, J., & Signoret, M. (2023) · Journal of Business Research · doi:10.1016/j.jbusres.2022.113546 · Cited by 438
Wan, J., Li, X., Dai, H.-N., Kusiak, A., Martinez-Garcia, M., & Li, D. (2021) · Proceedings of the IEEE · doi:10.1109/jproc.2020.3034808 · Cited by 382
Self-citationTackling Faults in the Industry 4.0 Era—A Survey of Machine-Learning Solutions and Key Aspects
Angelopoulos, A., Michailidis, E. T., Nomikos, N., Trakadas, P., Hatziefremidis, A., Voliotis, S., & Zahariadis, T. (2019) · Sensors · doi:10.3390/s20010109 · Cited by 365
Metadata
- Authors
- Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B.
- Venue
- IEEE Access
- Published
- 2018
- Volume
- 6
- Pages
- 6505-6519
- ISSN
- 2169-3536 (ISSN-L)
- OpenAlex
- W2771783069
- Cited by
- 1,135
- References
- 3
- FWCI
- 100.17
- Type
- journal article
- Language
- en
- Open access
- gold
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- Chen, B., Wan, J., Shu, L., Li, P., Mukherjee, M., & Yin, B. (2018). Smart Factory of Industry 4.0: Key Technologies, Application Case, and Challenges. IEEE Access. https://doi.org/10.1109/access.2017.2783682
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