SYNERGIZING HUMAN EXPERTISE AND ML IN REAL-TIME MANUFACTURING OPTIMIZATION
Keywords:
Human-AI Collaboration, Smart Manufacturing, Predictive Maintenance, Workforce Development, Manufacturing OptimizationAbstract
This article explores the integration of machine learning (ML) and human expertise in modern manufacturing environments, focusing on real-time decision systems and collaborative frameworks. The article examines how AI-powered systems work alongside human operators to enhance productivity, quality control, and resource efficiency in smart factories. The article covers the implementation of sensor networks, predictive analytics, and human-AI interfaces, demonstrating significant improvements in operational efficiency and decision-making processes. The article also investigates case studies in predictive maintenance and quality control optimization, highlighting the transformative impact of these technologies. Furthermore, the article addresses key challenges in workforce development and system integration, proposing solutions for successful implementation of human-AI collaborative systems in manufacturing environments.
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