| Issue |
BIO Web Conf.
Volume 86, 2024
International Conference on Recent Trends in Biomedical Sciences (RTBS-2023)
|
|
|---|---|---|
| Article Number | 01068 | |
| Number of page(s) | 10 | |
| DOI | https://doi.org/10.1051/bioconf/20248601068 | |
| Published online | 12 January 2024 | |
Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study
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 Assistant Professor, GRIET, Bachupally, Hyderabad, Telangana
5 K R Mangalam University, Gurgaon, India
* Corresponding author: hus1@list.ru
A comparison of the use of big data computing in Industry 4.0 and Industry 5.0 was carried out utilizing data collected from the actual world for the purpose of this research. The findings suggest that there has been a 2% drop in the number of faulty items produced in Industry 5.0, coupled with a 1% decrease in the amount of energy used in highly automated companies. According to the findings of the quality control, fault Type B accounts for around 65 percent of the overall defects in Industry 4.0. The results highlight the benefits of Industry 5.0, which capitalizes on human-machine cooperation, data-driven processes, and customized products and services. These insights help to contribute to manufacturing processes that are more efficient, more sustainable, and more quality-driven. Big data computing, Industry 4.0 and 5.0, quality control, and energy efficiency are some of the keywords to look for.
Key words: Big data computing / Industry 4.0 and Industry 5.0 / quality control / energy efficiency are some of the keywords here
© 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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