Sustainable Manufacturing with AI: Reducing Waste and Carbon Footprint

Abstract

AI is transforming the manufacturing industry by enhancing efficiency, reducing waste, and minimizing environmental impact. This paper explores AI-driven approaches in sustainable manufacturing, including predictive maintenance, real-time quality control, and energy-efficient production processes. It examines how AI-powered automation and robotics optimize material usage while lowering carbon emissions. Case studies demonstrate successful AI applications in green manufacturing, highlighting best practices for balancing productivity with sustainability. The study also addresses challenges such as AI adoption costs, ethical concerns, and workforce adaptation. The paper concludes with recommendations for leveraging AI to build sustainable and resilient manufacturing ecosystems.