Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01062 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/bioconf/20248601062 | |
Published online | 12 January 2024 |
IoT and AI Integration: An Experiment on Smart Manufacturing Efficiency in Industry 5.0
1 Department of management and innovation, National Research University Moscow State University of Civil Engineering, 129337 Yaroslavskoe shosse, 26, Moscow, Russia
2 Uttaranchal Institute of Technology, Uttaranchal University, Dehradun, India 248007
3 Lovely Professional University, Phagwara, Punjab, India
4 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana, India
5 K R Mangalam University, Gurgaon, India
* Corresponding author: DmitrievaEI@gic.mgsu.ru
In line with the Industry 5.0 paradigm, this empirical research offers a data-driven investigation of the revolutionary effects of combining IoT and AI in smart manufacturing. The findings show a notable 1.52% gain in production efficiency, which is attributed to post-implementation temperature increases of 36.2°C and humidity decreases of 44.8%. A decrease in faults found (2) led to a 0.76% increase in quality scores (93.1) for quality control. With fewer maintenance hours (2.3) and downtime (52 minutes), maintenance practices were more effective. These results highlight the concrete advantages of integrating IoT and AI in smart manufacturing, putting it at the vanguard of Industry 5.0's revolutionary landscape and improving productivity, quality, and maintenance.
Key words: data-driven decision-making / Industry 5.0 / IoT / AI / smart manufacturing
© The Authors, published by EDP Sciences, 2024
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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