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 revolutionizing various aspects of manufacturing, including production, quality control, and supply chain management. The study highlights the application of AI techniques such as predictive maintenance, anomaly detection, and digital twinning in improving productivity, flexibility, and sustainability in manufacturing processes. Additionally, it discusses the integration of AI with industrial robots, additive manufacturing, and cyber-physical systems to enable smart factories, adaptive manufacturing, and real-time decision-making. 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, standardization, and continuous innovation in harnessing AI's potential to drive the fourth industrial revolution and create more agile, competitive, and resilient manufacturing ecosystems.
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