AI-Powered Circular Economy Models: Reducing Waste in Manufacturing and Promoting Resource Efficiency
Abstract
Transitioning to a circular economy is essential for sustainable development, especially in manufacturing sectors with high material consumption. This paper explores the role of AI in promoting resource efficiency and waste reduction through circular economy models. By analyzing product life cycle data, AI algorithms optimize resource recovery, recycling, and repurposing in manufacturing processes. Our approach showcases real-world applications in reducing material waste, minimizing emissions, and promoting sustainable production cycles. The results underscore the transformative impact of AI in achieving circular economy goals and fostering sustainable industrial practices.
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