open access publication

Article, 2024

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

TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, ISSN 1366-5545, 1366-5545, Volume 184, 10.1016/j.tre.2024.103455

Contributors

Bhattacharya, Sourabh [1] Govindan, Kannan (Corresponding author) [2] [3] [4] [5] Dastidar, Surajit Ghosh [1] Sharma, Preeti [6]

Affiliations

  1. [1] Inst Management Technol, Hyderabad 501218, Telangana, India
    2. [NORA names: India; Asia, South];
  2. [2] Shanghai Maritime Univ, China Inst FTZ Supply Chain, Shanghai, Peoples R China
    3. [NORA names: China; Asia, East];
  3. [3] Univ Adelaide, Adelaide Business Sch, Adelaide, Australia
    4. [NORA names: Australia; Oceania; OECD];
  4. [4] Univ Southern Denmark, Ctr Sustainable Supply Chain Engn, Dept Technol, Odense, Denmark
    5. [NORA names: SDU University of Southern Denmark; University; Denmark; Europe, EU; Nordic; OECD];
  5. [5] Woxsen Univ, Sch Business, Sadasivpet, Telangana, India
    6. [NORA names: India; Asia, South];

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.

Keywords

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

Data Provider: Clarivate

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