Artificial Intelligence for Industrial Waste Reduction and Carbon Neutrality in Manufacturing

Industrial waste and carbon emissions are critical challenges facing modern manufacturing industries. The adoption of artificial intelligence (AI) offers a promising pathway to optimize production processes, reduce waste, and achieve carbon neutrality. This paper presents a comprehensive study on AI-based strategies for industrial waste reduction and sustainable manufacturing. Key methodologies include predictive analytics, machine learning algorithms, and process optimization techniques, applied to diverse manufacturing scenarios. Results demonstrate significant reductions in waste output and carbon emissions, highlighting AI’s potential to transform industrial operations. The findings provide actionable insights for industrial managers and policymakers aiming to implement sustainable practices.

کلیدواژه ها:

Artificial Intelligence ، Industrial Waste Reduction ، Carbon Neutrality ، Sustainable Manufacturing ، Machine Learning ، Process Optimization