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Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)

Author

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  • Hao Yu

    (Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway)

  • Xu Sun

    (Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway)

  • Wei Deng Solvang

    (Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway)

  • Xu Zhao

    (School of Economics and Management, China Three Gorges University, Yichang 443002, China)

Abstract

The outbreak of an epidemic disease may pose significant treats to human beings and may further lead to a global crisis. In order to control the spread of an epidemic, the effective management of rapidly increased medical waste through establishing a temporary reverse logistics system is of vital importance. However, no research has been conducted with the focus on the design of an epidemic reverse logistics network for dealing with medical waste during epidemic outbreaks, which, if improperly treated, may accelerate disease spread and pose a significant risk for both medical staffs and patients. Therefore, this paper proposes a novel multi-objective multi-period mixed integer program for reverse logistics network design in epidemic outbreaks, which aims at determining the best locations of temporary facilities and the transportation strategies for effective management of the exponentially increased medical waste within a very short period. The application of the model is illustrated with a case study based on the outbreak of the coronavirus disease 2019 (COVID-19) in Wuhan, China. Even though the uncertainty of the future COVID-19 spread tendency is very high at the time of this research, several general policy recommendations can still be obtained based on computational experiments and quantitative analyses. Among other insights, the results suggest installing temporary incinerators may be an effective solution for managing the tremendous increase of medical waste during the COVID-19 outbreak in Wuhan, but the location selection of these temporary incinerators is of significant importance. Due to the limitation on available data and knowledge at present stage, more real-world information are needed to assess the effectiveness of the current solution.

Suggested Citation

  • Hao Yu & Xu Sun & Wei Deng Solvang & Xu Zhao, 2020. "Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)," IJERPH, MDPI, vol. 17(5), pages 1-25, March.
  • Handle: RePEc:gam:jijerp:v:17:y:2020:i:5:p:1770-:d:330198
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    1. Ming Liu & Jie Cao & Jing Liang & MingJun Chen, 2020. "Epidemic-logistics Modeling: A New Perspective on Operations Research," Springer Books, Springer, number 978-981-13-9353-2, December.
    2. Haiyan Wang & Xinping Wang & Amy Z. Zeng, 2009. "Optimal material distribution decisions based on epidemic diffusion rule and stochastic latent period for emergency rescue," International Journal of Mathematics in Operational Research, Inderscience Enterprises Ltd, vol. 1(1/2), pages 76-96.
    3. Zhao, Jun & Huang, Lixia & Lee, Der-Horng & Peng, Qiyuan, 2016. "Improved approaches to the network design problem in regional hazardous waste management systems," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 88(C), pages 52-75.
    4. Hui Hu & Xiang Li & Anh Dung Nguyen & Philip Kavan, 2015. "A Critical Evaluation of Waste Incineration Plants in Wuhan (China) Based on Site Selection, Environmental Influence, Public Health and Public Participation," IJERPH, MDPI, vol. 12(7), pages 1-22, July.
    5. He, Yuxuan & Liu, Nan, 2015. "Methodology of emergency medical logistics for public health emergencies," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 79(C), pages 178-200.
    6. Erhan Erkut & Vedat Verter, 1995. "A Framework for Hazardous Materials Transport Risk Assessment," Risk Analysis, John Wiley & Sons, vol. 15(5), pages 589-601, October.
    7. Charles ReVelle & Jared Cohon & Donald Shobrys, 1991. "Simultaneous Siting and Routing in the Disposal of Hazardous Wastes," Transportation Science, INFORMS, vol. 25(2), pages 138-145, May.
    8. Samanlioglu, Funda, 2013. "A multi-objective mathematical model for the industrial hazardous waste location-routing problem," European Journal of Operational Research, Elsevier, vol. 226(2), pages 332-340.
    9. Hao Yu & Wei Deng Solvang, 2016. "An Improved Multi-Objective Programming with Augmented ε -Constraint Method for Hazardous Waste Location-Routing Problems," IJERPH, MDPI, vol. 13(6), pages 1-21, May.
    10. Jun Zhao & Lixiang Huang, 2019. "Multi-Period Network Design Problem in Regional Hazardous Waste Management Systems," IJERPH, MDPI, vol. 16(11), pages 1-27, June.
    11. Xuehong Gao, 2019. "A Novel Reverse Logistics Network Design Considering Multi-Level Investments for Facility Reconstruction with Environmental Considerations," Sustainability, MDPI, vol. 11(9), pages 1-22, May.
    12. Hao Yu & Wei Deng Solvang, 2016. "A Stochastic Programming Approach with Improved Multi-Criteria Scenario-Based Solution Method for Sustainable Reverse Logistics Design of Waste Electrical and Electronic Equipment (WEEE)," Sustainability, MDPI, vol. 8(12), pages 1-28, December.
    13. Fleischmann, Moritz & Bloemhof-Ruwaard, Jacqueline M. & Dekker, Rommert & van der Laan, Erwin & van Nunen, Jo A. E. E. & Van Wassenhove, Luk N., 1997. "Quantitative models for reverse logistics: A review," European Journal of Operational Research, Elsevier, vol. 103(1), pages 1-17, November.
    14. Govindan, Kannan & Soleimani, Hamed & Kannan, Devika, 2015. "Reverse logistics and closed-loop supply chain: A comprehensive review to explore the future," European Journal of Operational Research, Elsevier, vol. 240(3), pages 603-626.
    15. B. F. Finkenstädt & B. T. Grenfell, 2000. "Time series modelling of childhood diseases: a dynamical systems approach," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 49(2), pages 187-205.
    16. Ming Liu & Lindu Zhao, 2012. "An integrated and dynamic optimisation model for the multi-level emergency logistics network in anti-bioterrorism system," International Journal of Systems Science, Taylor & Francis Journals, vol. 43(8), pages 1464-1478.
    17. Ming Liu & Ding Zhang, 2016. "A dynamic logistics model for medical resources allocation in an epidemic control with demand forecast updating," Journal of the Operational Research Society, Palgrave Macmillan;The OR Society, vol. 67(6), pages 841-852, June.
    18. Büyüktahtakın, İ. Esra & des-Bordes, Emmanuel & Kıbış, Eyyüb Y., 2018. "A new epidemics–logistics model: Insights into controlling the Ebola virus disease in West Africa," European Journal of Operational Research, Elsevier, vol. 265(3), pages 1046-1063.
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    Cited by:

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    3. Joaquín Hernandez-Fernandez & Juan Carrascal Sanchez & Juan Lopez Martinez, 2024. "Sustainable Catalysts from Industrial FeO Waste for Pyrolysis and Oxidation of Hospital Polypropylene in Cartagena," Sustainability, MDPI, vol. 16(14), pages 1-21, July.
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    9. Eugenia Ama Andoh & Hao Yu, 2023. "A two-stage decision-support approach for improving sustainable last-mile cold chain logistics operations of COVID-19 vaccines," Annals of Operations Research, Springer, vol. 328(1), pages 75-105, September.
    10. Seyyed-Mahdi Hosseini-Motlagh & Mohammad Reza Ghatreh Samani & Behnam Karimi, 2023. "Resilient and social health service network design to reduce the effect of COVID-19 outbreak," Annals of Operations Research, Springer, vol. 328(1), pages 903-975, September.
    11. Min Su & Qiang Wang & Rongrong Li, 2021. "How to Dispose of Medical Waste Caused by COVID-19? A Case Study of China," IJERPH, MDPI, vol. 18(22), pages 1-18, November.
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    13. Yin Ting Chu & Jianzhao Zhou & Yuan Wang & Yue Liu & Jingzheng Ren, 2023. "Current State, Development and Future Directions of Medical Waste Valorization," Energies, MDPI, vol. 16(3), pages 1-28, January.
    14. Akvilė Feiferytė-Skirienė & Žaneta Stasiškienė, 2024. "Measuring economic crises impact transitioning to a circular economy," Environment, Development and Sustainability: A Multidisciplinary Approach to the Theory and Practice of Sustainable Development, Springer, vol. 26(7), pages 17849-17873, July.
    15. Piotr Nowakowski & Sandra Kuśnierz & Patrycja Sosna & Jakub Mauer & Dawid Maj, 2020. "Disposal of Personal Protective Equipment during the COVID-19 Pandemic Is a Challenge for Waste Collection Companies and Society: A Case Study in Poland," Resources, MDPI, vol. 9(10), pages 1-11, September.
    16. Luca Fiorillo & Gabriele Cervino & Marco Matarese & Cesare D’Amico & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Antonio Moschella & Alessia La Bruna & Giovanni Luca Romano & Riccardo , 2020. "COVID-19 Surface Persistence: A Recent Data Summary and Its Importance for Medical and Dental Settings," IJERPH, MDPI, vol. 17(9), pages 1-10, April.
    17. Esin Balci & Sezin Balci & Aysun Sofuoglu, 2022. "Multi-purpose reverse logistics network design for medical waste management in a megacity: Istanbul, Turkey," Environment Systems and Decisions, Springer, vol. 42(3), pages 372-387, September.
    18. Masłowski Dariusz & Kulińska Ewa & Salwin Mariusz & Pawlas Karolina & Kulińska-Jachowska Karolina, 2022. "Impact of policy regulations on the functioning of hospitals in Poland during the COVID-19 pandemic: a qualitative analysis," International Journal of Management and Economics, Warsaw School of Economics, Collegium of World Economy, vol. 58(2), pages 192-217, June.
    19. Gabriele Cervino & Luca Fiorillo & Giovanni Surace & Valeria Paduano & Maria Teresa Fiorillo & Rosa De Stefano & Riccardo Laudicella & Sergio Baldari & Michele Gaeta & Marco Cicciù, 2020. "SARS-CoV-2 Persistence: Data Summary up to Q2 2020," Data, MDPI, vol. 5(3), pages 1-16, September.
    20. Rashid Nazir & Jawad Ali & Ijaz Rasul & Emilie Widemann & Sarfraz Shafiq, 2021. "Eco-Environmental Aspects of COVID-19 Pandemic and Potential Control Strategies," IJERPH, MDPI, vol. 18(7), pages 1-16, March.
    21. Fariba Goodarzian & Ali Navaei & Behdad Ehsani & Peiman Ghasemi & Jesús Muñuzuri, 2023. "Designing an integrated responsive-green-cold vaccine supply chain network using Internet-of-Things: artificial intelligence-based solutions," Annals of Operations Research, Springer, vol. 328(1), pages 531-575, September.
    22. 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.

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