Optimizing Manufacturing with Intelligent Solutions
Abstract
This paper explores the optimization 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 planning, quality control, and supply chain management. The study highlights the application of AI techniques such as predictive maintenance, anomaly detection, and adaptive robotics in improving productivity, flexibility, and sustainability in manufacturing processes. Additionally, it discusses the integration of AI with industrial IoT, digital twins, and additive manufacturing technologies to enable smart factories, real-time monitoring, and mass customization. The paper also addresses challenges such as workforce upskilling, data integration, and regulatory compliance in the adoption of AI-driven engineering solutions in manufacturing. It emphasizes the importance of collaboration, innovation culture, and agile methodologies in harnessing AI's potential to create more competitive, responsive, and resilient manufacturing ecosystems.
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References
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