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Machine Learning and Artificial Intelligence (AI) in Manufacturing
Abstract
The integration of machine learning (ML) and artificial intelligence (AI) into manufacturing has transformed traditional processes, creating smarter, more efficient, and adaptable production systems in line with Industry 4.0 principles. Advanced AI applications can enhance automated quality control by detecting defects in real time, thus improving product reliability and reducing waste. Technologies like digital twins and generative design allow manufacturers to simulate, optimize, and innovate production processes before physical implementation, cutting down on development time and costs. In supply chain optimization, ML algorithms enhance inventory management, demand forecasting, and logistics efficiency. The benefits are substantial are challenges such as big data management, integration with legacy systems, workforce reskilling, and ethical concerns. Future trends include the emergence of autonomous manufacturing systems, sustainable AI applications, and improved interoperability through the Internet of Things (IoT) and edge computing in the manufacturing sector.
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