Applications of artificial intelligence in closed-loop supply chains: Systematic literature review and future research agenda

Sourabh Bhattacharya, Kannan Govindan*, Surajit Ghosh Dastidar, Preeti Sharma

*Corresponding author for this work

Research output: Contribution to journalJournal articleResearchpeer-review

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Abstract

In this paper, we present a systematic literature review of the applications of Artificial Intelligence (AI) in Closed-loop Supply Chains (CLSC). Through a systematic and unbiased search, we select 303 peer-reviewed articles and examined them to understand the prevalent publication trends, most impactful studies, most influential authors, and most popular journals. We further identify ten most popular AI techniques and evaluated their applications in several CLSC subfields. We identify seven CLSC subfields that can benefit significantly from AI in future. Consequently, we provide a framework containing fifteen research questions that can guide future research on AI applications in CLSC.

Original languageEnglish
Article number103455
JournalTransportation Research Part E: Logistics and Transportation Review
Volume184
ISSN1366-5545
DOIs
Publication statusPublished - Apr 2024

Bibliographical note

Publisher Copyright:
© 2024 The Author(s)

Keywords

  • Artificial Intelligence
  • Closed-loop supply chains
  • Machine Learning
  • Reverse Logistics
  • Systematic Literature Review

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