Recent Advances of Artificial Intelligence in Manufacturing Industrial Sectors: A Review

• Published in: International journal of precision engineering and manufacturing Vol. 23; no. 1; pp. 111 - 129
• Main Authors: Kim, Sung Wook, Kong, Jun Ho, Lee, Sang Won, Lee, Seungchul
• Format: Journal Article
• Language: English
• Published: Seoul Korean Society for Precision Engineering 01.01.2022; Springer Nature B.V
• Subjects: Artificial intelligence; Engineering; Industrial and Production Engineering; Industrial applications; Manufacturing; Materials Science; Review; Deep learning; Condition monitoring; Manufacturing process; Artificial intelligence; Fault detection and diagnosis
• ISSN: 2234-7593; 2005-4602
• DOI: 10.1007/s12541-021-00600-3

The recent advances in artificial intelligence have already begun to penetrate our daily lives. Even though the development is still in its infancy, it has been shown that it can outperform human beings even in terms of intelligence (e.g., AlphaGo by DeepMind), implying a massive potential for its broader application in various industrial sectors. In particular, the growing public interest in industry 4.0, which focuses on revolutionizing the traditional manufacturing scene, has stimulated a deeper investigation of its possible applications in the related industries. Since it has several limitations that hinder its direct usage, research on the convergence of artificial intelligence with other engineering fields, including precision engineering and manufacturing, is ongoing. This overview looks to summarize some of the important achievements made using artificial intelligence in some of the most influential and lucrative manufacturing industries in hopes of transforming the manufacturing sites.