Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda
In this paper, the authors present a systematic literature review of the applications of Artificial Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased search, they select 303 peer-reviewed articles and examined them to understand the prevalent publication trends, most impactful studies, most influential authors, and most popular journals. They further identify ten most popular AI techniques and evaluated their applications in several CLSC subfields. They identify seven CLSC subfields that can benefit significantly from AI in future. Consequently, they provide a framework containing fifteen research questions that can guide future research on AI applications in CLSC.
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- Record URL:
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Availability:
- Find a library where document is available. Order URL: http://worldcat.org/issn/13665545
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Supplemental Notes:
- © 2024 The Author(s). Published by Elsevier Ltd. Abstract reprinted with permission of Elsevier.
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Authors:
- Bhattacharya, Sourabh
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0000-0002-5253-4333
- Govindan, Kannan
- Ghosh Dastidar, Surajit
- Sharma, Preeti
- Publication Date: 2024-4
Language
- English
Media Info
- Media Type: Web
- Features: Appendices; Figures; References; Tables;
- Pagination: 103455
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Serial:
- Transportation Research Part E: Logistics and Transportation Review
- Volume: 184
- Issue Number: 0
- Publisher: Elsevier
- ISSN: 1366-5545
- Serial URL: http://www.sciencedirect.com/science/journal/13665545
Subject/Index Terms
- TRT Terms: Artificial intelligence; Literature reviews; Logistics; Machine learning; Supply chain management
- Subject Areas: Data and Information Technology; Freight Transportation; Planning and Forecasting; Research;
Filing Info
- Accession Number: 01910911
- Record Type: Publication
- Files: TRIS
- Created Date: Mar 6 2024 4:12PM