Abstract
This review article explores the integration of artificial intelligence (AI) in industry 4.0 and its transformative impact on the manufacturing sector. The core principles of industry 4.0, revolving around digitalization, automation, and connectivity, are examined, emphasizing the creation of “smart factories”. The article also discussed the different categories of AI, such as narrow AI and general AI, and their significance in industry 4.0. The advantages of AI technologies in enhancing productivity, efficiency, and decision-making processes in manufacturing are discussed, supported by real-world case studies. In addition to the benefits, the article addresses the challenges and limitations of AI implementation. It delves into the current status of AI and Human Workforce Collaboration, highlighting the seamless integration of AI technologies with human workers to maximize efficiency in manufacturing. The article explores the innovation and customization of AI in industry 4.0. Moreover, the review addresses the future directions for AI implementation. By examining these key aspects, the article offers valuable insights into the transformative potential of AI in industry 4.0 and its implications for the future of manufacturing.
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Abbreviations
- AI:
-
Artificial intelligence
- ML:
-
Machine learning
- DL:
-
Deep learning
- CV:
-
Computer vision
- IoT:
-
Internet of things
References
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Gabsi, A.E.H. Integrating artificial intelligence in industry 4.0: insights, challenges, and future prospects–a literature review. Ann Oper Res (2024). https://doi.org/10.1007/s10479-024-06012-6
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DOI: https://doi.org/10.1007/s10479-024-06012-6