IDEAS home Printed from https://ideas.repec.org/h/spr/advbcp/978-94-6463-260-6_25.html

The Technological Change of Intelligent Manufacturing based on the Metaverse

In: Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023)

Author

Listed:
  • Chi Zhang

    (Beijing Jinghang Research Institute of Computing and Communication)

  • Liyuan Liu

    (Beijing Jinghang Research Institute of Computing and Communication)

  • Xin Wang

    (Beijing Jinghang Research Institute of Computing and Communication)

  • Zhuxin Xue

    (Beijing Jinghang Research Institute of Computing and Communication)

  • Tong Zhang

    (Beijing Jinghang Research Institute of Computing and Communication)

Abstract

To achieve international competitiveness, it is necessary to improve product quality, production capacity and seize market opportunities that increasing the production level of intelligence is the crucial method for the manufacturing enterprise. However, due to inadequate understanding of the conception and principles of emerging technology, the exact methods and application are difficult to meet the requirements. Therefore, in this paper we normalize the infrastructure of the metaverse and discuss the based techniques and methods as the supplementary for intelligent manufacturing which brings the more possibilities and application perspectives of manufacturing industries in future.

Suggested Citation

  • Chi Zhang & Liyuan Liu & Xin Wang & Zhuxin Xue & Tong Zhang, 2024. "The Technological Change of Intelligent Manufacturing based on the Metaverse," Advances in Economics, Business and Management Research, in: Luiz Moutinho & Carlos Flavian & Rita Yi Man Li & Qiwei Zhou (ed.), Proceedings of the 2023 International Conference on Management Innovation and Economy Development (MIED 2023), pages 191-199, Springer.
  • Handle: RePEc:spr:advbcp:978-94-6463-260-6_25
    DOI: 10.2991/978-94-6463-260-6_25
    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:978-94-6463-260-6_25. 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.