The DOI matches its Crossref record; 9 of the 9 references it cites were found in a registry or an index.
Future of industry 5.0 in society: human-centric solutions, challenges and prospective research areas
Open accessAbstract
Industry 4.0 has been provided for the last 10 years to benefit the industry and the shortcomings; finally, the time for industry 5.0 has arrived. Smart factories are increasing the business productivity; therefore, industry 4.0 has limitations. In this paper, there is a discussion of the industry 5.0 opportunities as well as limitations and the future research prospects. Industry 5.0 is changing paradigm and brings the resolution since it will decrease emphasis on the technology and assume that the potential for progress is based on collaboration among the humans and machines. The industrial revolution is improving customer satisfaction by utilizing personalized products. In modern business with the paid technological developments, industry 5.0 is required for gaining competitive advantages as well as economic growth for the factory. The paper is aimed to analyze the potential applications of industry 5.0. At first, there is a discussion of the definitions of industry 5.0 and advanced technologies required in this industry revolution. There is also discussion of the applications enabled in industry 5.0 like healthcare, supply chain, production in manufacturing, cloud manufacturing, etc. The technologies discussed in this paper are big data analytics, Internet of Things, collaborative robots, Blockchain, digital twins and future 6G systems. The study also included difficulties and issues examined in this paper head to comprehend the issues caused by organizations among the robots and people in the assembly line.
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Cites
Peeking Inside the Black-Box: A Survey on Explainable Artificial Intelligence (XAI)
Adadi, A., & Berrada, M. (2018) · IEEE Access · doi:10.1109/access.2018.2870052 · Cited by 6,294
Blockchain technology and its relationships to sustainable supply chain management
Saberi, S., Kouhizadeh, M., Sarkis, J., & Shen, L. (2019) · International Journal of Production Research · doi:10.1080/00207543.2018.1533261 · Cited by 4,118
Blockchain technology in the energy sector: a systematic review of challenges and opportunities
Andoni, M., Robu, V., Flynn, D., Abram, S., Geach, D., Jenkins, D., McCallum, P., & Peacock, A. (2019) · Renewable and Sustainable Energy Reviews · doi:10.1016/j.rser.2018.10.014 · Cited by 2,426
Human–Robot Interaction: Status and Challenges
Sheridan, T. B. (2016) · Human Factors: The Journal of the Human Factors and Ergonomics Society · doi:10.1177/0018720816644364 · Cited by 786
Federated learning for 6G communications: Challenges, methods, and future directions
Liu, Y., Yuan, X., Xiong, Z., Kang, J., Wang, X., & Niyato, D. (2020) · China Communications · doi:10.23919/jcc.2020.09.009 · Cited by 464 · cited 1×
“Apart from the soft skills required, gaining technical skills is also an issue for human workers [2, 101].”
BackgroundHan, E.-R., Yeo, S., Kim, M.-J., Lee, Y.-H., Park, K.-H., & Roh, H. (2019) · BMC Medical Education · doi:10.1186/s12909-019-1891-5 · Cited by 393
The benefits and threats of blockchain technology in healthcare: A scoping review
Abu-elezz, I., Hassan, A., Nazeemudeen, A., Househ, M., & Abd-alrazaq, A. (2020) · International Journal of Medical Informatics · doi:10.1016/j.ijmedinf.2020.104246 · Cited by 375
Artificial Intelligence-based Internet of Things for Industry 5.0
Chander, B., Pal, S., De, D., & Buyya, R. (2022) · Internet of Things · doi:10.1007/978-3-030-87059-1_1 · Cited by 160
A roadmap of next-generation wireless technology for 6g-enabled vehicular networks
Adhikari, M., Hazra, A., Menon, V. G., Chaurasia, B. K., & Mumtaz, S. (2021) · IEEE Internet of Things Magazine · doi:10.1109/iotm.001.2100075 · Cited by 55
Cited by
Is Industry 5.0 a Human-Centred Approach? A Systematic Review
Alves, J., Lima, T. M., & Gaspar, P. D. (2023) · Processes · doi:10.3390/pr11010193 · Cited by 359
Balart, T. S., & Shryock, K. J. (2024) · doi:10.36227/techrxiv.171778881.15802086/v1 · Cited by 3
Metadata
- Authors
- Adel, A.
- Venue
- Journal of Cloud Computing
- Published
- 2022-09-08
- Volume
- 11
- Issue
- 1
- Pages
- 40-40
- ISSN
- 2192-113X (ISSN-L)
- OpenAlex
- W4294955982
- Cited by
- 864
- References
- 9
- FWCI
- 82.33
- Type
- journal article
- Language
- en
- Open access
- gold
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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.