Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
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Article Number | 01066 | |
Number of page(s) | 10 | |
DOI | https://doi.org/10.1051/bioconf/20248601066 | |
Published online | 12 January 2024 |
Augmented Reality and AI in Smart Manufacturing: An Empirical Investigation
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, 248007,
3 Lovely Professional University Phagwara, Punjab, India
4 Peter the Great St. Petersburg Polytechnic University, Saint Petersburg 195251, Russian Federation, Russia
5 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana
6 K R Mangalam University, Gurgaon, India
7 GD Goenka University, Sohna, Haryana, India
* Corresponding author: meshcheryakovats@mgsu.ru
This empirical study, “Augmented Reality and Artificial Intelligence in Smart Manufacturing,” reveals how these two technologies are revolutionizing the manufacturing industry. The results, which are based on real data, highlight the significant effects of integrating AI and AR. Notably, after installation, productivity indicators saw an average improvement of 8.5% across production lines, highlighting the effectiveness of AR and AI in improving production operations. Furthermore, the average number of completed product faults dropped by 3.5, demonstrating the effectiveness of AI and AR in quality control. The average 47.5% decrease in repair requests highlights the predictive maintenance's potential for cost savings made possible by AR and AI. The relevance of AR and AI as critical factors influencing productivity, quality, and affordability in smart manufacturing is further supported by this empirical data.
Key words: Quality control / predictive maintenance / efficiency / augmented reality / artificial intelligence / smart manufacturing / integration
© 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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