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Transforming Manufacturing Processes with Intelligent Automation Solutions
Abstract
This paper explores the transformation of manufacturing processes through intelligent automation solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is reshaping traditional manufacturing practices, including production planning, quality control, and supply chain management. The study highlights the application of AI techniques such as robotics, computer vision, and predictive maintenance in improving productivity, flexibility, and sustainability in manufacturing operations. Additionally, it discusses the integration of AI with advanced sensors, additive manufacturing technologies, and digital twins to enable real-time monitoring, adaptive manufacturing, and virtual prototyping in smart factories. 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 transform manufacturing processes and drive industrial competitiveness.
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