The DOI matches its Crossref record; 72 of the 72 references it cites were found in a registry or an index.
A human-in-the-loop manufacturing control architecture for the next generation of production systems
Open accessAbstract
Abstract In recent years, the introduction of Industry 4.0 technologies in the manufacturing landscape promoted the development of smart factories characterised by relevant socio-technical interactions between humans and machines. In this context, understanding and modelling the role of humans turns out to be crucial to develop efficient manufacturing systems of the future. Grounding on previous researches in the field of Human-in-the-Loop and Human Cyber-Physical Systems, the paper aims at contributing to a deep reflection about human-machine interaction in the wider perspective of Social Human-in-the-Loop Cyber-Physical Production Systems, in which more agents collaborate and are socially connected. After presenting an evolution of manufacturing control organisations, an architecture to depict social interactions in smart factories is proposed. The proposed architecture contributes to the representation of different human roles in the smart factory and the exploration of both hierarchical and heterarchical data-driven decision-making processes in manufacturing.
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Cites
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Literature review of Industry 4.0 and related technologies
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Cited by
A survey of human-in-the-loop for machine learning
Wu, X., Xiao, L., Sun, Y., Zhang, J., Ma, T., & He, L. (2022) · Future Generation Computer Systems · doi:10.1016/j.future.2022.05.014 · Cited by 800
Xia, K., Sacco, C., Kirkpatrick, M., Saidy, C., Nguyen, L., Kircaliali, A., & Harik, R. (2021) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2020.06.012 · Cited by 406
Toward 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
Advances in Sensor Technologies in the Era of Smart Factory and Industry 4.0
Kalsoom, T., Ramzan, N., Ahmed, S., & Ur-Rehman, M. (2020) · Sensors · doi:10.3390/s20236783 · Cited by 341
Lou, S., Zhang, Y., Tan, R., & Lv, C. (2024) · Robotics and Computer-Integrated Manufacturing · doi:10.1016/j.rcim.2023.102706 · Cited by 84
Metadata
- Authors
- Cimini, C., Pirola, F., Pinto, R., & Cavalieri, S.
- Venue
- Journal of Manufacturing Systems
- Publisher
- Elsevier BV
- Published
- 2020-01
- Volume
- 54
- Pages
- 258-271
- ISSN
- 0278-6125 (ISSN-L)
- OpenAlex
- W3000218070
- Cited by
- 257
- References
- 72
- FWCI
- 23.81
- Type
- journal article
- Language
- en
- Open access
- green
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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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