The Role of AI In Flexible and Collaborative Intelligent Manufacturing Systems

AI is crucial to establishing smart industrial systems that operate together and can evolve, as this article shows. The beginning emphasizes the importance of artificial intelligence and contemporary production's flexibility and teamwork. Manufacturing can employ AI in various ways. AI can adapt to market changes, factory conditions, and product designs, making it versatile. Friendly robots (cobots) and autonomous systems maximize resource consumption and efficiency with human labor. AI-driven quality control systems discover even the slightest defects in a product using computer vision and deep learning. By anticipating repairs, predictive maintenance systems save downtime and extend gear life. A comparison of research shows the recommended technique outperforms others. However, adaptability emphasizes how scalable and flexible the recommended solution is to accommodate a variety of business objectives and conditions. Comparative teamwork studies reveal that the recommended strategy simplifies collaboration, improving worker safety, efficiency, and happiness.

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Publication Details

Published
2024-12-06
DOI
https://doi.org/10.1109/ihcsp63227.2024.10959836
Primary Topic
Digital Transformation in Industry
Type
article
Field-Weighted Citation Impact
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article

The Role of AI In Flexible and Collaborative Intelligent Manufacturing Systems

M Jeyalaxmi, G. Ravivarman, Pancham Cajla, Vishwesh Deshmukh et al.
Digital Transformation in Industry
article

The Role of AI In Flexible and Collaborative Intelligent Manufacturing Systems

M Jeyalaxmi, G. Ravivarman, Pancham Cajla, Vishwesh Deshmukh, Mukul Mishra, Kambam Vedantan
article en

Abstract

AI is crucial to establishing smart industrial systems that operate together and can evolve, as this article shows. The beginning emphasizes the importance of artificial intelligence and contemporary production's flexibility and teamwork. Manufacturing can employ AI in various ways. AI can adapt to market changes, factory conditions, and product designs, making it versatile. Friendly robots (cobots) and autonomous systems maximize resource consumption and efficiency with human labor. AI-driven quality control systems discover even the slightest defects in a product using computer vision and deep learning. By anticipating repairs, predictive maintenance systems save downtime and extend gear life. A comparison of research shows the recommended technique outperforms others. However, adaptability emphasizes how scalable and flexible the recommended solution is to accommodate a variety of business objectives and conditions. Comparative teamwork studies reveal that the recommended strategy simplifies collaboration, improving worker safety, efficiency, and happiness.

Jain University (IN), Shri Venkateshwara University (IN), Karpagam Academy of Higher Education (IN), Chitkara University (IN)
Industry, innovation and infrastructure
Openalex Percentile: Top 57%
Digital Transformation in Industry
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