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Advancing Manufacturing with Intelligent Solutions
Abstract
This paper explores the advancement of manufacturing through intelligent solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is transforming manufacturing processes, supply chain management, and product design. The study highlights the application of AI techniques such as predictive maintenance, quality control, and process optimization in improving productivity, flexibility, and sustainability in manufacturing operations. Additionally, it discusses the integration of AI with industrial robots, digital twins, and additive manufacturing technologies to enable smart factories, agile production, and mass customization. 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 among industry stakeholders, investment in research and development, and adoption of standards to unlock AI's potential for driving innovation and competitiveness in the manufacturing sector.
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References
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