Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study

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%...

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Bibliographic Details
Main Authors: Rinat Khusnutdinov, Thakur Gaurav, Gupta Manish, Madhuri T. N. P., Bansal Shweta
Format: Article
Language:English
Published: EDP Sciences 2024-01-01
Series:BIO Web of Conferences
Subjects:
Online Access:https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01068.pdf
Description
Summary: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.
ISSN:2117-4458