IDEAS home Printed from https://ideas.repec.org/a/gam/jsusta/v18y2025i1p156-d1824511.html

Industry 4.0 Enabled Sustainable Manufacturing

Author

Listed:
  • Ibrahim Abdelfadeel Shaban

    (Department of Mechanical and Aerospace Engineering, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Rahaf Ajaj

    (Department of Environmental and Public Health, Abu Dhabi University, Abu Dhabi 59911, United Arab Emirates)

  • Haitham Elshimy

    (Department of Mechanical and Aerospace Engineering, United Arab Emirates University, Al Ain 15551, United Arab Emirates)

  • Hussien Hegab

    (College of Engineering, University of Guelph, Guelph, ON N1G 2W1, Canada)

Abstract

The nexus of sustainable manufacturing and Industry 4.0 technologies is redefining modern industrial practices. Conventional manufacturing, characterized by intensive energy use, resource depletion, and waste generation, is increasingly unsustainable in the face of environmental pressures and evolving regulations. Industry 4.0 technologies—including IoT, artificial intelligence, data analytics, cloud computing platforms, and, recently, digital twins—provide opportunities to embed sustainability by enabling real-time monitoring, predictive analytics, and adaptive decision-making. This paper addresses key methods and strategies for sustainability and Industry 4.0 nexus. It involves IoT systems for data-driven monitoring, AI for process optimization, cloud platforms for supply chain sustainability, and emphasizes the use of digital twins for predictive maintenance. Organizational strategies such as cross-functional collaboration, customized software, dual-focus performance metrics, and workforce reskilling are explored, alongside barriers including high capital costs, cybersecurity risks, and system integration challenges. The findings present a structured perspective on harmonizing sustainability and Industry 4.0, demonstrating how this nexus can reduce environmental impact, enhance efficiency, and support long-term industrial resilience.

Suggested Citation

  • Ibrahim Abdelfadeel Shaban & Rahaf Ajaj & Haitham Elshimy & Hussien Hegab, 2025. "Industry 4.0 Enabled Sustainable Manufacturing," Sustainability, MDPI, vol. 18(1), pages 1-22, December.
  • Handle: RePEc:gam:jsusta:v:18:y:2025:i:1:p:156-:d:1824511
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/2071-1050/18/1/156/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/2071-1050/18/1/156/
    Download Restriction: no
    ---><---

    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:gam:jsusta:v:18:y:2025:i:1:p:156-:d:1824511. 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: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    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.