An Explainable Machine Learning and Optimization Framework for Profitability-Driven E-Waste Refurbishment
Electronic waste (e-waste) refurbishment can extend device life, reduce material waste, and recover economic value, but operational decisions must balance uncertain resale outcomes against repair cost, labor, device condition, and limited resources.This paper presents an explainable machine-learning and optimization fr...