Examining the integration of artificial intelligence in supply chain management from Industry 4.0 to 6.0: a systematic literature review
Abstract
This 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.
Utilising 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.
Citation impact
- FWCI
- 59.48
- Percentile
- 100%
- References
- 57
Authors
1Topics & keywords
- Supply chain
- Industry 4.0
- Resilience (materials science)
- Sustainability
- Systematic review
- Workforce
- Supply chain management
- Scopus
- Industry, innovation and infrastructure