Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data
Quality 4.0 is the fusion between the long-standing quality management tenets and Industry 4.0 technologies like AI, Blockchain, IoT, and Big Data. Although it can improve product quality, control operational efficiency, and supply chain transparency for organizations, adopting these technologies co...
Saved in:
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Iran University of Science & Technology
2025-06-01
|
| Series: | International Journal of Industrial Engineering and Production Research |
| Subjects: | |
| Online Access: | http://ijiepr.iust.ac.ir/article-1-2271-en.pdf |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849309861066571776 |
|---|---|
| author | SOUAD LAHMINE FATIMA BENNOUNA |
| author_facet | SOUAD LAHMINE FATIMA BENNOUNA |
| author_sort | SOUAD LAHMINE |
| collection | DOAJ |
| description | Quality 4.0 is the fusion between the long-standing quality management tenets and Industry 4.0 technologies like AI, Blockchain, IoT, and Big Data. Although it can improve product quality, control operational efficiency, and supply chain transparency for organizations, adopting these technologies comes with high challenges. This study, therefore, carries out a meta-analytic review incorporating 80 peer-reviewed papers from between 2018 to 2024 to exposit the effectiveness, challenges, and prospects of Quality 4.0. Results show that machine learning-based predictive analytics significantly reduce defect rates and production costs, while Blockchain enhances visibility into the supply chain. On the other hand, organizational readiness and workforce training are major barriers. The paper can give much-needed input to practitioners through actionable recommendations and suggest avenues for further research that would advance Quality 4.0 adoption. |
| format | Article |
| id | doaj-art-0d5f6d265ac54c72b7c2daa48a65e8d0 |
| institution | Kabale University |
| issn | 2008-4889 2345-363X |
| language | English |
| publishDate | 2025-06-01 |
| publisher | Iran University of Science & Technology |
| record_format | Article |
| series | International Journal of Industrial Engineering and Production Research |
| spelling | doaj-art-0d5f6d265ac54c72b7c2daa48a65e8d02025-08-20T03:53:57ZengIran University of Science & TechnologyInternational Journal of Industrial Engineering and Production Research2008-48892345-363X2025-06-013626879Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big DataSOUAD LAHMINE0FATIMA BENNOUNA1 Engineering, Systems, and Applications Laboratory (LISA), National School of Applied Sciences (ENSA), Sidi Mohamed Ben Abdellah University of Fez, Engineering, Systems, and Applications Laboratory (LISA), National School of Applied Sciences (ENSA), Sidi Mohamed Ben Abdellah University of Fez, Quality 4.0 is the fusion between the long-standing quality management tenets and Industry 4.0 technologies like AI, Blockchain, IoT, and Big Data. Although it can improve product quality, control operational efficiency, and supply chain transparency for organizations, adopting these technologies comes with high challenges. This study, therefore, carries out a meta-analytic review incorporating 80 peer-reviewed papers from between 2018 to 2024 to exposit the effectiveness, challenges, and prospects of Quality 4.0. Results show that machine learning-based predictive analytics significantly reduce defect rates and production costs, while Blockchain enhances visibility into the supply chain. On the other hand, organizational readiness and workforce training are major barriers. The paper can give much-needed input to practitioners through actionable recommendations and suggest avenues for further research that would advance Quality 4.0 adoption.http://ijiepr.iust.ac.ir/article-1-2271-en.pdfquality 4.0industry 4.0aiblockchainbig dataiot. |
| spellingShingle | SOUAD LAHMINE FATIMA BENNOUNA Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data International Journal of Industrial Engineering and Production Research quality 4.0 industry 4.0 ai blockchain big data iot. |
| title | Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data |
| title_full | Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data |
| title_fullStr | Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data |
| title_full_unstemmed | Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data |
| title_short | Transforming Quality Management with Industry 4.0 Technologies: A Meta-Analytic Review of AI, Blockchain, IoT, and Big Data |
| title_sort | transforming quality management with industry 4 0 technologies a meta analytic review of ai blockchain iot and big data |
| topic | quality 4.0 industry 4.0 ai blockchain big data iot. |
| url | http://ijiepr.iust.ac.ir/article-1-2271-en.pdf |
| work_keys_str_mv | AT souadlahmine transformingqualitymanagementwithindustry40technologiesametaanalyticreviewofaiblockchainiotandbigdata AT fatimabennouna transformingqualitymanagementwithindustry40technologiesametaanalyticreviewofaiblockchainiotandbigdata |