Artificial Intelligence for Smart Manufacturing in Industry 5.0: Methods, Applications, and Challenges
Huu Du Nguyen and
Kim Phuc Tran ()
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Huu Du Nguyen: Dong A University
Kim Phuc Tran: University of Lille, ENSAIT, ULR 2461 - GEMTEX - Génie et Matériaux Textiles
A chapter in Artificial Intelligence for Smart Manufacturing, 2023, pp 5-33 from Springer
Abstract:
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.
Keywords: Artificial intelligence; Smart manufacturing; Industry 5.0; Augmented intelligence; Cyber-physical systems; Human-centric manufacturing (search for similar items in EconPapers)
Date: 2023
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Persistent link: https://EconPapers.repec.org/RePEc:spr:ssrchp:978-3-031-30510-8_2
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DOI: 10.1007/978-3-031-30510-8_2
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