IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-548-5_11.html

The Integration of Computer Engineering and Economic Sustainability Forecasting in Smart Manufacturing

In: Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024)

Author

Listed:
  • Nan Wang

    (University of York)

  • Chenchen Wang

    (University of Melbourne)

  • Liangyu Li

    (Universiti Kebangsaan Malaysia)

  • Jiajun Jin

    (University of Maine at Presque Isle)

  • Tongzhou Chenhan

    (Belarusian State University)

Abstract

The imperative to reduce the manufacturing industry’s environmental footprint has become a critical global issue due to rising living standards, increased demand, and resource scarcity. Manufacturing, central to product supply and modern life, faces significant sustainability challenges. Existing manufacturing models, based on outdated paradigms, are insufficient and require thorough revision. The sector must innovate, leveraging technology, culture, and economics to develop sustainable practices, including the revision of sustainability assessment tools. These tools must address growing sustainability concerns and incorporate the triple bottom line—environmental, economic, and social factors. Concurrently, the concept of smart manufacturing is emerging, harnessing advancements in AI, Cloud Computing, and IoT to enhance production. However, the interaction between smart manufacturing and sustainability is not fully understood. This study aims to merge sustainable and smart manufacturing by evaluating current models and identifying future research opportunities in this integrated field.

Suggested Citation

  • Nan Wang & Chenchen Wang & Liangyu Li & Jiajun Jin & Tongzhou Chenhan, 2024. "The Integration of Computer Engineering and Economic Sustainability Forecasting in Smart Manufacturing," Advances in Economics, Business and Management Research, in: Kun Zhang & Hang Luo & Hongbo Li & Azlina Binti Md Yassin (ed.), Proceedings of the 2024 3rd International Conference on Economics, Smart Finance and Contemporary Trade (ESFCT 2024), pages 83-89, Springer.
    • Handle: RePEc:spr:advbcp:978-94-6463-548-5_11
    DOI: 10.2991/978-94-6463-548-5_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:advbcp:978-94-6463-548-5_11. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.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.