Industry 4.0 and the Rise of Artificial Intelligence in Production: Artificial Intelligence in Production

Ruban, M. and Vijayaraj, S. and Soundarya, M K and Sridhar, R. and Baskar, S. and Karunakaran, K. and Gopalakrishnan, T. and Ajith Arul Daniel, S. and Gnanavel, C. and Muthuraman, V. (2026) Industry 4.0 and the Rise of Artificial Intelligence in Production: Artificial Intelligence in Production. Amazon Kindle.

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Abstract

Industry 4.0 represents the fourth industrial revolution, characterized by the integration of advanced digital technologies into manufacturing and production systems. It brings together cyber-physical systems, the Internet of Things (IoT), cloud computing, big data analytics, and artificial intelligence (AI) to create smart, connected, and highly automated factories.Artificial Intelligence plays a central role in Industry 4.0 by enabling machines and systems to learn from data, make decisions, and improve performance without continuous human intervention. In production environments, AI is widely used for predictive maintenance, quality inspection, demand forecasting, process optimization, and autonomous robotics. These AI-driven systems help industries reduce downtime, minimize defects, optimize resource usage, and increase overall productivity.The rise of AI in production also supports real-time monitoring and adaptive control of manufacturing processes. By analyzing large volumes of sensor and operational data, AI algorithms can identify patterns, detect anomalies, and recommend corrective actions instantly. This leads to improved efficiency, flexibility, and customization in manufacturing, allowing industries to respond quickly to changing market demands. Overall, Industry 4.0 combined with Artificial Intelligence is transforming traditional production systems into intelligent, efficient, and sustainable manufacturing ecosystems, shaping the future of global industry.

Item Type: Book
Subjects: Management Studies > Production Management
Domains: Mechanical Engineering
Depositing User: User 9 9
Date Deposited: 02 Mar 2026 10:04
Last Modified: 05 Mar 2026 06:17
URI: https://ir.vistas.ac.in/id/eprint/12402

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