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Optimization of WEEE recycling network for E wastes based on 2020 Procedia

Haihong Huang, Bingbing Li

2026ene-wasterecycling networkdiscrete event simulationwaste managementenvironmental impactChina

Abstract

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China has become the largest producer of e-wastes worldwide in 2018. The establishment of an efficient and effective recycling network has become crucial for many regions of China. This study aims to develop a discrete event-based simulation model to optimize the recycling network of home appliances while creating a comprehensive assessment method that includes system performance, economic, environmental, and energy indices to evaluate the efficiency and effectiveness of this network. The methodology involves designing a simulation model that takes into account various real-world factors affecting e-waste recycling, alongside the development of critical assessment indicators. Results indicate that the proposed simulation model significantly enhances the recycling network's performance, thereby improving economic benefits, resource utilization, and environmental protection. Additionally, the findings reveal that incorporating these indicators into the recycling network design is vital for achieving optimum operational outcomes. This research contributes to the broader understanding of e-waste management in China and highlights the importance of systematic optimization in addressing the severe challenges posed by electronic waste. This study's insights can serve as a valuable resource for policymakers and practitioners engaged in e-waste recycling efforts.

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Cite This Work

@article{cb6b16ef-0150-41d4-af1b-d33f1613dcf4,
  title={Optimization of WEEE recycling network for E wastes based on  2020 Procedia },
  author={Haihong Huang and Bingbing Li},
  year={2026},
  language={en}
}
TY  - JOUR
TI  - Optimization of WEEE recycling network for E wastes based on  2020 Procedia 
AU  - Haihong Huang
AU  - Bingbing Li
PY  - 2026
LA  - en
ER  -

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