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Revolutionizing Manufacturing with Intelligent Solutions
Abstract
This paper explores the revolutionizing impact of AI-driven engineering on manufacturing through intelligent solutions. Through case studies and research insights, it investigates how artificial intelligence is transforming traditional manufacturing practices, including production optimization, quality control, and supply chain management. The study highlights the application of AI techniques such as predictive maintenance, computer vision, and robotic automation in improving productivity, flexibility, and sustainability in manufacturing operations. Additionally, it discusses the integration of AI with industrial IoT devices, digital twins, and additive manufacturing technologies to enable smart factories, agile production processes, and customized manufacturing solutions. 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 collaboration, innovation, and continuous improvement in leveraging AI's potential to revolutionize manufacturing and drive economic competitiveness.
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