The applications of AI in GSCM - a systematic literature review

SAAD, Sameh and KHAMKHAM, Mohamed (2022). The applications of AI in GSCM - a systematic literature review. In: SHAFIK, Mahmoud and CASE, Keith, (eds.) Advances in Manufacturing Technology XXXV. IOS, 348-353.

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Open Access URL: https://ebooks.iospress.nl/volumearticle/61655 (Published version)
Link to published version:: https://doi.org/10.3233/ATDE220615
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    Abstract

    Due to the high demand for environmental sustainability and a green supply chain in recent years, industrial and service enterprises are striving to look for effective technologies and methodology to tackle the growing concerns and achieve environmental sustainability. Artificial Intelligence (AI) has emerged as one of the efficient techniques to enhance Green Supply Chain Management (GSCM) and achieve sustainable improvements. The study aims to explore and identify the main contribution of Artificial intelligence to GSCM growth and implementation through a systematic literature review. Five systematic processes are employed to evaluate and derive the latest published literature, using a set of inclusion and exclusion criteria to identify the papers in the GSCM field. The study addressed the research question and identified the most prominent AI technologies that contributed to GSCM. This paper provides insights through systematic analysis and synthesis through which researchers and practitioners will inspire to enhance GSCM growth.

    Item Type: Book Section
    Identification Number: https://doi.org/10.3233/ATDE220615
    Page Range: 348-353
    SWORD Depositor: Symplectic Elements
    Depositing User: Symplectic Elements
    Date Deposited: 02 Sep 2022 10:47
    Last Modified: 20 Dec 2022 16:26
    URI: https://shura.shu.ac.uk/id/eprint/30646

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