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Revolutionizing Manufacturing for Industry 4.0
Abstract
This paper explores the revolutionizing impact of AI-driven engineering on manufacturing for Industry 4.0. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional manufacturing practices, including production planning, process optimization, and quality control. The study highlights the application of AI techniques such as machine learning, computer vision, and robotics in enhancing manufacturing efficiency, flexibility, and sustainability. Additionally, it discusses the integration of AI with digital twins, collaborative robots, and autonomous systems to enable real-time monitoring, adaptive manufacturing, and predictive maintenance. The paper also addresses challenges such as workforce reskilling, cybersecurity, and interoperability in the deployment of AI-driven engineering solutions in manufacturing. It emphasizes the importance of digitalization, data governance, and human-robot collaboration in leveraging AI's potential to drive innovation and competitiveness in the manufacturing sector amidst the transition towards smart factories and interconnected production systems.
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References
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