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Innovating Manufacturing with Intelligent Solutions
Abstract
This paper explores the innovation of manufacturing through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional manufacturing processes, including production optimization, quality control, and supply chain management. The study highlights the application of AI techniques such as machine learning, robotics, and digital twinning in improving efficiency, flexibility, and sustainability in manufacturing operations. Additionally, it discusses the integration of AI with industrial IoT, additive manufacturing, and advanced analytics to enable predictive maintenance, real-time monitoring, and agile production planning. The paper also addresses challenges such as workforce reskilling, data interoperability, and cybersecurity in the adoption of AI-driven engineering solutions in manufacturing. It emphasizes the importance of industry-academia collaboration, technology standardization, and regulatory support in leveraging AI's potential to drive innovation and competitiveness in the manufacturing sector.
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References
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