Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review
BackgroundThis study examines the integration of Artificial Intelligence (AI) in supply chain management (SCM) during the transition from Industry 4.0 to Industry 6.0. The focus is on improving operational efficiency, promoting human-centric collaboration, and advancing sustainability within supply...
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Frontiers Media S.A.
2025-01-01
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| Series: | Frontiers in Artificial Intelligence |
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| Online Access: | https://www.frontiersin.org/articles/10.3389/frai.2024.1477044/full |
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| author | Alexander Samuels |
| author_facet | Alexander Samuels |
| author_sort | Alexander Samuels |
| collection | DOAJ |
| description | BackgroundThis study examines the integration of Artificial Intelligence (AI) in supply chain management (SCM) during the transition from Industry 4.0 to Industry 6.0. The focus is on improving operational efficiency, promoting human-centric collaboration, and advancing sustainability within supply chains. As industries progress, the need to incorporate AI technologies that improve decision-making and operational resilience while ensuring sustainable practices becomes increasingly critical. This systematic review aims to explore how AI is transforming SCM through these industrial transitions.MethodsUtilising the PRISMA framework, a systematic review was conducted to gather and analyse relevant literature published between 2010 and 2023. A comprehensive search of databases including Web of Science, Scopus, IEEE Xplore, Google Scholar, and ScienceDirect was performed. The review involved rigorous screening for eligibility and thematic analysis using Atlas-ti software to identify key themes and patterns related to AI integration in SCM.ResultsThe findings indicate that AI integration significantly improves SCM by improving demand forecasting, inventory management, and overall decision-making capabilities. Industry 5.0 focuses on human-AI collaboration, improving customisation and problem-solving. AI technologies also contribute to sustainability by optimising resource utilisation and reducing environmental impacts. However, challenges such as cybersecurity risks and workforce skill gaps need to be addressed to fully leverage AI’s potential.ConclusionIntegrating AI in SCM not only improves operational efficiency and sustainability but also promotes resilience against disruptions. The insights from this review offer valuable guidance for both academics and practitioners aiming to optimise supply chain operations through AI technologies from Industry 4.0 to Industry 6.0. The study underlines the importance of a balanced approach that integrates technological developments with human-centric and sustainable practices. |
| format | Article |
| id | doaj-art-04b34835d9324e4ab8bf2abcdd6b256f |
| institution | Kabale University |
| issn | 2624-8212 |
| language | English |
| publishDate | 2025-01-01 |
| publisher | Frontiers Media S.A. |
| record_format | Article |
| series | Frontiers in Artificial Intelligence |
| spelling | doaj-art-04b34835d9324e4ab8bf2abcdd6b256f2025-01-20T11:56:50ZengFrontiers Media S.A.Frontiers in Artificial Intelligence2624-82122025-01-01710.3389/frai.2024.14770441477044Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature reviewAlexander SamuelsBackgroundThis study examines the integration of Artificial Intelligence (AI) in supply chain management (SCM) during the transition from Industry 4.0 to Industry 6.0. The focus is on improving operational efficiency, promoting human-centric collaboration, and advancing sustainability within supply chains. As industries progress, the need to incorporate AI technologies that improve decision-making and operational resilience while ensuring sustainable practices becomes increasingly critical. This systematic review aims to explore how AI is transforming SCM through these industrial transitions.MethodsUtilising the PRISMA framework, a systematic review was conducted to gather and analyse relevant literature published between 2010 and 2023. A comprehensive search of databases including Web of Science, Scopus, IEEE Xplore, Google Scholar, and ScienceDirect was performed. The review involved rigorous screening for eligibility and thematic analysis using Atlas-ti software to identify key themes and patterns related to AI integration in SCM.ResultsThe findings indicate that AI integration significantly improves SCM by improving demand forecasting, inventory management, and overall decision-making capabilities. Industry 5.0 focuses on human-AI collaboration, improving customisation and problem-solving. AI technologies also contribute to sustainability by optimising resource utilisation and reducing environmental impacts. However, challenges such as cybersecurity risks and workforce skill gaps need to be addressed to fully leverage AI’s potential.ConclusionIntegrating AI in SCM not only improves operational efficiency and sustainability but also promotes resilience against disruptions. The insights from this review offer valuable guidance for both academics and practitioners aiming to optimise supply chain operations through AI technologies from Industry 4.0 to Industry 6.0. The study underlines the importance of a balanced approach that integrates technological developments with human-centric and sustainable practices.https://www.frontiersin.org/articles/10.3389/frai.2024.1477044/fullartificial intelligencehuman-centric integrationIndustry 4.0Industry 5.0Industry 6.0supply chain management |
| spellingShingle | Alexander Samuels Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review Frontiers in Artificial Intelligence artificial intelligence human-centric integration Industry 4.0 Industry 5.0 Industry 6.0 supply chain management |
| title | Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review |
| title_full | Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review |
| title_fullStr | Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review |
| title_full_unstemmed | Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review |
| title_short | Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review |
| title_sort | examining the integration of artificial intelligence in supply chain management from industry 4 0 to 6 0 a systematic literature review |
| topic | artificial intelligence human-centric integration Industry 4.0 Industry 5.0 Industry 6.0 supply chain management |
| url | https://www.frontiersin.org/articles/10.3389/frai.2024.1477044/full |
| work_keys_str_mv | AT alexandersamuels examiningtheintegrationofartificialintelligenceinsupplychainmanagementfromindustry40to60asystematicliteraturereview |