Sustainable hazardous waste management: a two-stage dynamic multi-period decision framework

Abstract

This thesis presents a comprehensive two-stage dynamic multi-period decision framework for sustainable hazardous waste management. The first stage involves optimizing the location and allocation of waste treatment facilities with a focus on minimizing both cost and emission. The second stage contains a dynamic multi-period vehicle routing problem (DMPVRP), which allows for real-time adjustments based on variable pickup dates to cope with dynamics, such that cost, risk, and emission are simultaneously minimized. Trade-ofs between these objectives are managed by assigning weight to each objective in both stages. A case study of the healthcare waste management network in Shanghai, China, demonstrates the model’s applicability and efectiveness. Results indicate that the proposed system signifcantly improves cost efciency, reduces environmental impact, and minimizes risk to human health compared to the current system. Sensitivity analyses further validate the robustness of the proposed framework, showing improvements across all aspects. This research provides valuable insights for policymakers and waste management authorities aiming to enhance the sustainability and resilience of hazardous waste management systems.