Reverse logistics and large-scale material recovery from electronics waste

Abstract

Waste consolidation is a crucial step in the development of cost-effective, nation-wide material reclamation networks. This thesis project investigates typical and conformational tendencies of a hypothetical end-of-life electronics recycling system based in the United States. Optimal waste processor configurations, along with cost drivers and sensitivities are identified using a simple reverse logistics linear programming model. The experimental procedure entails varying the model scenario based on: type of material being recycled, the properties of current recycling and consolidation practices, and an extrapolation of current trends into the future. The transition from a decentralized to a centralized recycling network is shown to be dependent on the balance between transportation costs and facility costs, with the latter being a much more important cost consideration than the former. Additionally, this project sets the stage for a great deal of future work to ensure the profitability of domestic e-waste recycling systems.