Optimizing Factory Waste Management in Healthcare Industries with AI and Machine Learning
Abstract
Effective waste management in healthcare-related factories is crucial for minimizing environmental impact and ensuring regulatory compliance. This paper explores how AI and machine learning technologies can enhance waste management processes, from waste segregation to recycling and disposal. We present case studies of healthcare factories that have implemented AI-driven waste management systems, discussing the technological, operational, and economic benefits. The paper concludes with recommendations for integrating AI solutions to achieve sustainable waste management in the healthcare industry.