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Collaborative Reverse Logistics Network for Infectious Medical Waste Management during the COVID-19 Outbreak

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  • Xuan Luo

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

  • Wenzhu Liao

    (School of Management Science and Real Estate, Chongqing University, Chongqing 400044, China)

Abstract

The development of COVID-19 in China has gradually become normalized; thus, the prevention and control of the pandemic has encountered new problems: the amount of infectious medical waste (IMW) has increased sharply; the location of outbreaks are highly unpredictable; and the pandemic occurs everywhere. Thus, it is vital to design an effective IMW reverse logistics network to cope with these problems. This paper firstly introduces mobile processing centers (MPCs) into an IMW reverse logistics network for resource-saving, quick response, and the sufficient capacity of processing centers. Then, a multi-participant-based (public central hospitals, disposal institutions, the logistics providers, and the government) collaborative location and a routing optimization model for IMW reverse logistics are built from an economic, environmental perspective. An augmented ε-constraint method is developed to solve this proposed model. Through a case study in Chongqing, it is found that for uncertain outbreak situations, fixed processing centers (FPCs) and MPCs can form better disposal strategies. MPC can expand the processing capacity flexibly in response to the sudden increase in IMW. The results demonstrate good performance in reduction in cost and infection risk, which could greatly support the decision making of IMW management for the government in the pandemic prevention and control.

Suggested Citation

  • Xuan Luo & Wenzhu Liao, 2022. "Collaborative Reverse Logistics Network for Infectious Medical Waste Management during the COVID-19 Outbreak," IJERPH, MDPI, vol. 19(15), pages 1-28, August.
    • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9735-:d:882597
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    Cited by:

    1. Konstantinos Kokkinos & Evangelia Lakioti & Konstantinos Moustakas & Constantinos Tsanaktsidis & Vayos Karayannis, 2023. "Sustainable Medical Waste Management Using an Intuitionistic Fuzzy-Based Decision Support System," Sustainability, MDPI, vol. 16(1), pages 1-26, December.
    2. Govindan, Kannan & Naieni Fard, Fereshteh Sadeghi & Asgari, Fahimeh & Sorooshian, Shahryar & Mina, Hassan, 2024. "A Bi-objective location-routing model for the healthcare waste management in the era of logistics 4.0 under uncertainty," International Journal of Production Economics, Elsevier, vol. 276(C).
    3. Lan Zhu & Tao Ding & Zhuofan Liu, 2024. "Reverse Logistics Network Design for Medical Waste Disposal under the Scenario of Uncertain Proposal Demand," Sustainability, MDPI, vol. 16(7), pages 1-14, April.
    4. Damianos P. Sakas & Nikolaos T. Giannakopoulos & Nikos Kanellos & Christos Christopoulos & Kanellos S. Toudas, 2023. "Determining Factors for Supply Chain Services Provider Selection and Long-Term Relationship Maintenance: Evidence from Greece," Logistics, MDPI, vol. 7(4), pages 1-21, October.
    5. Rania Berrachedi & Rachid Chaib & Hafida Kahoul & Ion Verzea, 2024. "Towards a sustainable supply chain: contribution to hospital waste management in an Algerian hospital," Technology audit and production reserves, PC TECHNOLOGY CENTER, vol. 3(4(77)), pages 6-14, June.
    6. Prasit Kailomsom & Charoenchai Khompatraporn, 2023. "A Multi-Objective Optimization Model for Multi-Facility Decisions of Infectious Waste Transshipment and Disposal," Sustainability, MDPI, vol. 15(6), pages 1-16, March.

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