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Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm

Author

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  • Ziyuan Liu

    (School of Economics and Management, China University of Geosciences, Wuhan 430074, China)

  • Zhi Li

    (School of Geography and Information Engineering, China University of Geosciences, Wuhan 430074, China)

  • Weiming Chen

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

  • Yunpu Zhao

    (School of Computer Science, Wuhan University, Wuhan 430072, China)

  • Hanxun Yue

    (School of Cyber Science and Engineering, Wuhan University, Wuhan 430072, China)

  • Zhenzhen Wu

    (Faculty of Engineering, China University of Geosciences, Wuhan 430074, China)

Abstract

In response to the emergent public health event of COVID-19, the efficiency of transport of medical waste from hospitals to disposal stations is a worthwhile issue to study. In this paper, based on the actual situation of COVID-19 and environmental impact assessment guidelines, an immune algorithm is used to establish a location model of urban medical waste storage sites. In view of the selection of temporary storage stations and realistic transportation demand, an efficiency-of-transport model of medical waste between hospitals and temporary storage stations is established by using an ant colony–tabu hybrid algorithm. In order to specify such status, Wuhan city in Hubei Province, China—considered the first city to suffer from COVID-19—was chosen as an example of verification; the two-level model and the immune algorithm–ant colony optimization–tabu search (IA–ACO–TS) algorithm were used for simulation and testing, which achieved good verification. To a certain extent, the model and the algorithm are proposed to solve the problem of medical waste disposal, based on transit temporary storage stations, which we are convinced will have far-reaching significance for China and other countries to dispatch medical waste in response to such public health emergencies.

Suggested Citation

  • Ziyuan Liu & Zhi Li & Weiming Chen & Yunpu Zhao & Hanxun Yue & Zhenzhen Wu, 2020. "Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immune–Ant Colony Algorithm," IJERPH, MDPI, vol. 17(16), pages 1-18, August.
    • Handle: RePEc:gam:jijerp:v:17:y:2020:i:16:p:5831-:d:397825
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    3. André Ferreira & Ana L. Ramos & José V. Ferreira & Luís P. Ferreira, 2024. "Simulation of Hospital Waste Supply Chain in the Context of Industry 4.0—A Systematic Literature Review," Sustainability, MDPI, vol. 16(14), pages 1-19, July.
    4. Peihua Fu & Bailu Jing & Tinggui Chen & Jianjun Yang & Guodong Cong, 2020. "Modeling Network Public Opinion Propagation with the Consideration of Individual Emotions," IJERPH, MDPI, vol. 17(18), pages 1-29, September.
    5. Ziyuan Liu & Tianle Liu & Xingdong Liu & Aijing Wei & Xiaoxue Wang & Ying Yin & You Li, 2021. "Research on Optimization of Healthcare Waste Management System Based on Green Governance Principle in the COVID-19 Pandemic," IJERPH, MDPI, vol. 18(10), pages 1-18, May.
    6. Al-Amin Abba Dabo & Amin Hosseinian-Far, 2023. "An Integrated Methodology for Enhancing Reverse Logistics Flows and Networks in Industry 5.0," Logistics, MDPI, vol. 7(4), pages 1-26, December.

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