Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01064 | |
Number of page(s) | 12 | |
DOI | https://doi.org/10.1051/bioconf/20248601064 | |
Published online | 12 January 2024 |
Innovations in Smart Manufacturing: An Experimental Assessment of Emerging Technologies
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 K R Mangalam University, Gurgaon, India
5 GD Goenka University, Sohna, Haryana, India
* Corresponding author: BelyakovSI@mgsu.ru
With an emphasis on machine learning and artificial intelligence (AI), the Internet of Things (IoT), robotics, and data analytics, this research offers a methodical empirical evaluation of cutting-edge technologies in the field of smart manufacturing. The findings indicate notable progress in the abilities of the employees. Employee 2 had an astounding 30% gain in machine learning competence, while Employee 3 demonstrated a 50% growth in robotics proficiency. Production Line Efficiency showed scope for development; Line B showed a 0.7% gain in efficiency, indicating that there is still opportunity for process improvements. Analyzing sensor data highlights the need of ongoing maintenance and monitoring to guarantee optimum machine functioning. Data from quality control indicated that stricter guidelines were required to lower product faults. With implications for increased productivity and quality, this study advances our knowledge of the revolutionary potential of smart manufacturing technologies, including workforce development, technology adoption, and process optimization.
Key words: robotics / data analytics / machine learning / IoT / smart manufacturing / emerging technologies
© 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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