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Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China

Author

Listed:
  • Hao Liu

    (School of Economics and Management, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China)

  • Zhong Yao

    (School of Economics and Management, Beihang University, No. 37 Xueyuan Road, Haidian District, Beijing 100191, China)

Abstract

Medical waste has strict classification standards. However, in reality, the process of collection and disposal of most medical waste does not strictly follow the corresponding standards, thus resulting in great potential risks to people’s health. Our research analyzed existing problems with medical waste classification management, optimized the medical waste recycling business model, and then used the simulation software AnyLogic to design mixed and classification simulation models based on current literature regarding the standards of medical waste classification and composition in China. Furthermore, we simulated and calculated the generation of nonrecyclable medical waste, recyclable medical waste, and domestic waste in the three models based on 30,000 tons of medical waste generated in Beijing in 2015. We compared and analyzed the output, generation rate, disposal cost, recycling revenue, and cost–benefit based on the disposal cost standards of the Beijing Municipal Commission of Development and Reform and the China Renewable Resources Price Index in Beijing. The importance of strengthening the classification and recycling of medical waste was further validated by modeling and simulation. The study provides an important reference to hospitals, disposal plants, and government regulatory departments in their decision-making.

Suggested Citation

  • Hao Liu & Zhong Yao, 2018. "Research on Mixed and Classification Simulation Models of Medical Waste—A Case Study in Beijing, China," Sustainability, MDPI, vol. 10(11), pages 1-16, November.
    • Handle: RePEc:gam:jsusta:v:10:y:2018:i:11:p:4226-:d:183227
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    Citations

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    Cited by:

    1. Lichi Zhang & Yanyan Jiang & Junmin Wu, 2022. "Evolutionary Game Analysis of Government and Residents’ Participation in Waste Separation Based on Cumulative Prospect Theory," IJERPH, MDPI, vol. 19(21), pages 1-16, November.
    2. Shuwen Zhao & Guojian Ma & Juan Ding, 2023. "Symbiotic Mechanism of Multiple Subjects for the Resource-Based Disposal of Medical Waste in China in the Post-Pandemic Context," Sustainability, MDPI, vol. 15(1), pages 1-19, January.
    3. Youqing Lv & Guojian Ma & Juan Ding, 2022. "Evolutionary Game Analysis of Medical Waste Disposal in China under Different Reward and Penalty Models," Sustainability, MDPI, vol. 14(8), pages 1-19, April.
    4. Zhiguo Wang & Lufei Huang & Cici Xiao He, 2021. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 42(4), pages 785-812, November.
    5. Zhiguo Wang & Lufei Huang & Cici Xiao He, 0. "A multi-objective and multi-period optimization model for urban healthcare waste’s reverse logistics network design," Journal of Combinatorial Optimization, Springer, vol. 0, pages 1-28.

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