IDEAS home Printed from https://ideas.repec.org/h/spr/ssrchp/978-3-031-30510-8_2.html
   My bibliography  Save this book chapter

Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges

In: Artificial Intelligence for Smart Manufacturing

Author

Listed:
  • Huu Du Nguyen

    (Dong A University)

  • Kim Phuc Tran

    (University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles)

Abstract

As the fourth industrial revolution has passed an early stage of development, many companies are developing intelligent systems and cutting-edge innovations of Industry 4.0 to improve productivity and quality. Meanwhile, the next phase of industrialization has been started to introduce, known as Industry 5.0. One of the most prominent features of Industry 5.0 is that it places the well-being of humans at the center of the manufacturing process. Advanced technologies are also created to keep up with the trend of the fifth industrial revolution. Artificial intelligence (AI) algorithms have proven to play a key role in Industry 4.0. Moving to Industry 5.0, with the human-centric orientation, AI was developed in combination with human intelligence (HI), leading to the new concept of Augmented Intelligence (AuI). AI and AuI algorithms are expected to bring significant benefits for enabling smart manufacturing in Industry 5.0. In this study, we provide a survey on AI-based methods, applications, and challenges for smart manufacturing in Industry 5.0. The discussions will help to clarify some important issues related to the applications and the potential of AI algorithms in smart manufacturing.

Suggested Citation

  • Huu Du Nguyen & Kim Phuc Tran, 2023. "Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges," Springer Series in Reliability Engineering, in: Kim Phuc Tran (ed.), Artificial Intelligence for Smart Manufacturing, pages 5-33, Springer.
  • Handle: RePEc:spr:ssrchp:978-3-031-30510-8_2
    DOI: 10.1007/978-3-031-30510-8_2
    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 search for a similarly titled item that would be available.

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Mohammad (Behdad) Jamshidi & Arash Dehghaniyan Serej & Alireza Jamshidi & Omid Moztarzadeh, 2023. "The Meta-Metaverse: Ideation and Future Directions," Future Internet, MDPI, vol. 15(8), pages 1-31, July.

    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:ssrchp:978-3-031-30510-8_2. 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.