IDEAS home Printed from https://ideas.repec.org/a/ids/ijlsma/v52y2025i1p28-59.html

Digitalisation in modelling: general framework on how Industry 4.0 will change the green supply chain model

Author

Listed:
  • Sana Elhidaoui
  • Khalid Benhida
  • Srinivas Kota
  • Ahmed Lamalem
  • Said Elfezazi
  • Ismail Dribi Alaloui

Abstract

The understanding of the impact of the Industry 4.0 (I4.0) on the supply chain (SC) has entered the spotlight. Indeed, several studies were conducted to analyse this relationship whether to demonstrate the gains of this technology on the SC, or to argue against the drawbacks of its adoption in the SC. In fact, the environmental dimension has further complicated the research in this matter. Therefore, the purpose of this research is to study the integration of the I4.0 in the green supply chain (GSC) modelling. Two methods are selected to deal with this objective, namely SWOT and Preference Ranking Organization METHod for Enrichment Evaluation (PROMETHEE), using VISUAL PROMETHEE software. This study identifies the relevant alternatives that allow dealing with the threats and weaknesses, for the strengthening of the GSC modelling, and the best opportunities for the integration of I4.0. This research provides a general framework that would help researchers and practitioners in the future to address GSC modelling and the I4.0.

Suggested Citation

  • Sana Elhidaoui & Khalid Benhida & Srinivas Kota & Ahmed Lamalem & Said Elfezazi & Ismail Dribi Alaloui, 2025. "Digitalisation in modelling: general framework on how Industry 4.0 will change the green supply chain model," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 52(1), pages 28-59.
  • Handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:28-59
    as

    Download full text from publisher

    File URL: http://www.inderscience.com/link.php?id=149189
    Download Restriction: Access to full text is restricted to subscribers.
    ---><---

    As the access to this document is restricted, you may want to

    for a different version of it.

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:ids:ijlsma:v:52:y:2025:i:1:p:28-59. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sarah Parker (email available below). General contact details of provider: http://www.inderscience.com/browse/index.php?journalID=134 .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.