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%...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
EDP Sciences
2024-01-01
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| Series: | BIO Web of Conferences |
| Subjects: | |
| Online Access: | https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01068.pdf |
| _version_ | 1797352947950026752 |
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| author | Rinat Khusnutdinov Thakur Gaurav Gupta Manish Madhuri T. N. P. Bansal Shweta |
| author_facet | Rinat Khusnutdinov Thakur Gaurav Gupta Manish Madhuri T. N. P. Bansal Shweta |
| author_sort | Rinat Khusnutdinov |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-08T13:24:10Z |
| format | Article |
| id | doaj.art-fa94432cd39f4e448fca8792b6efb468 |
| institution | Directory Open Access Journal |
| issn | 2117-4458 |
| language | English |
| last_indexed | 2024-03-08T13:24:10Z |
| publishDate | 2024-01-01 |
| publisher | EDP Sciences |
| record_format | Article |
| series | BIO Web of Conferences |
| spelling | doaj.art-fa94432cd39f4e448fca8792b6efb4682024-01-17T15:02:13ZengEDP SciencesBIO Web of Conferences2117-44582024-01-01860106810.1051/bioconf/20248601068bioconf_rtbs2024_01068Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental StudyRinat Khusnutdinov0Thakur Gaurav1Gupta Manish2Madhuri T. N. P.3Bansal Shweta4Department of management and innovation, National Research University Moscow State University of Civil EngineeringUttaranchal Institute of Technology, Uttaranchal UniversityLovely Professional UniversityAssistant Professor, GRIET, BachupallyK R Mangalam UniversityA 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.https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01068.pdfbig data computingindustry 4.0 and industry 5.0quality controlenergy efficiency are some of the keywords here |
| spellingShingle | Rinat Khusnutdinov Thakur Gaurav Gupta Manish Madhuri T. N. P. Bansal Shweta Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study BIO Web of Conferences big data computing industry 4.0 and industry 5.0 quality control energy efficiency are some of the keywords here |
| title | Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study |
| title_full | Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study |
| title_fullStr | Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study |
| title_full_unstemmed | Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study |
| title_short | Comparative Analysis of Big Data Computing in Industry 4.0 and Industry 5.0: An Experimental Study |
| title_sort | comparative analysis of big data computing in industry 4 0 and industry 5 0 an experimental study |
| topic | big data computing industry 4.0 and industry 5.0 quality control energy efficiency are some of the keywords here |
| url | https://www.bio-conferences.org/articles/bioconf/pdf/2024/05/bioconf_rtbs2024_01068.pdf |
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