Como Citar
Resumo
La logística inversa ha surgido como una
práctica que responde a la necesidad creciente
de mejorar la manera en que se gestionan los
residuos generados en distintas industrias, ya sea
por motivos económicos, ambientales o legales.
En el caso de los residuos médicos se debe tener
particular cuidado debido a su naturaleza peligrosa,
por lo que una gestión adecuada de este tipo
de residuos no solamente tiene implicaciones
económicas y ambientales, sino también de
seguridad. El presente artículo desarrolla una
revisión literaria para identificar y sintetizar las
principales soluciones propuestas en los procesos
de logística inversa relacionada a este tipo de
desechos, así como los modelos matemáticos
propuestos y sus principales consideraciones.
La revisión mostró un aumento en
la publicación de artículos sobre este tema
después de la pandemia de COVID-19 y se
identificó que la Programación Lineal Entera
Mixta (MILP, por sus siglas en inglés) es la
técnica predominante para abordar la creación
de redes de logística inversa en este ámbito,
el cual requiere una planificación óptima para
recolectar, separar, tratar, reciclar y desechar
residuos médicos.
Referências
Balci, E., Balci, S., & Sofuoglu, A. (2022). Multi-purpose reverse logistics network design for medical waste management in a megacity: Istanbul, Turkey. Environment Systems and Decisions, 42(3). https://doi.org/10.1007/s10669-022-09873-z
Barker, T. J., & Zabinsky, Z. B. (2008). Reverse logistics network design: A conceptual framework for decision making. International Journal of Sustainable Engineering, 1(4). https://doi.org/10.1080/19397030802591196
Cao, C., Li, J., Liu, J., Liu, J., Qiu, H., & Zhen, J. (2024). Sustainable development-oriented location-transportation integrated optimization problem regarding multi-period multi-type disaster medical waste during COVID-19 pandemic. Annals of Operations Research, 335(3). https://doi.org/10.1007/s10479-022-04820-2
Govindan, K., Fard, F. S. N., Asgari Fahimeh and Sorooshian, S., & Mina, H. (2024). Designing a resilient reverse network to manage the infectious healthcare waste under uncertainty: A stochastic optimization approach. COMPUTERS & INDUSTRIAL ENGINEERING, 194. https://doi.org/10.1016/j.cie.2024.110390
Govindan, K., Nosrati-Abarghooee, S., Nasiri, M. M., & Jolai, F. (2022). Green reverse logistics network design for medical waste management: A circular economy transition through case approach. Journal of Environmental Management, 322. https://doi.org/10.1016/j.jenvman.2022.115888
Kargar, S., Pourmehdi, M., & Paydar, M. M. (2020). Reverse logistics network design for medical waste management in the epidemic outbreak of the novel coronavirus (COVID-19). Science of the Total Environment, 746. https://doi.org/10.1016/j.scitotenv.2020.141183
Luo, X., & Liao, W. (2022). Collaborative Reverse Logistics Network for Infectious Medical Waste Management during the COVID-19 Outbreak. International Journal of Environmental Research and Public Health, 19(15). https://doi.org/10.3390/ijerph19159735
Mei, X., Hao, H., Sun, Y., Wang, X., & Zhou, Y. (2022). Optimization of medical waste recycling network considering disposal capacity bottlenecks under a novel coronavirus pneumonia outbreak. Environmental Science and Pollution Research, 29(53). https://doi.org/10.1007/s11356-021-16027-2
Morjéne, Y., Ndhaief, N., & Rezg, N. (2022). Optimization of production batches in a circular supply chain under uncertainty. IFAC-PapersOnLine, 55(10). https://doi.org/10.1016/j.ifacol.2022.09.651
Nosrati-Abarghooee, S., Sheikhalishahi, M., Nasiri, M. M., & Gholami-Zanjani, S. M. (2023). Designing reverse logistics network for healthcare waste management considering epidemic disruptions under uncertainty. Applied Soft Computing, 142. https://doi.org/10.1016/j.asoc.2023.110372
Sar, K., & Ghadimi, P. (2022). Designing reverse logistics network for a case study of home-care health medical device waste management: Implications for Industry 4.0 supply chains. IFAC-PapersOnLine, 55(10). https://doi.org/10.1016/j.ifacol.2022.10.213
United Nations Environment Programme. (2024). Global Waste Management Outlook 2024 - Beyond an age of waste: Turning rubbish into a resource. https://doi.org/10.59117/20.500.11822/44939
U.S. Environmental Protection Agency. (2024). Medical Waste. EPA. https://www.epa.gov/rcra/medical-waste
Wang, X., Liu, L., Wang, L., Cao, W., & Guo, D. (2024). An application of BWM for risk control in reverse logistics of medical waste. Frontiers in Public Health, 12. https://doi.org/10.3389/fpubh.2024.1331679
World Health Organization. (2018, February 8). Health-care waste. World Health Organization. https://www.who.int/news-room/fact-sheets/detail/health-care-waste
Xue, C., Dong, Y., Liu, J., Liao, Y., & Li, L. (2023). Design of the Reverse Logistics System for Medical Waste Recycling Part I: System Architecture and Disposal Site Selection Algorithm. IEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC. https://doi.org/10.1109/ITSC57777.2023.10422624
Yu, H., Sun, X., Solvang, W. D., & Zhao, X. (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). International Journal of Environmental Research and Public Health, 17(5). https://doi.org/10.3390/ijerph17051770
Zhao, J., Wu, B., & Ke, G. Y. (2021). A bi-objective robust optimization approach for the management of infectious wastes with demand uncertainty during a pandemic. Journal of Cleaner Production, 314. https://doi.org/10.1016/j.jclepro.2021.127922
Zhu, L., Ding, T., & Liu, Z. (2024). Reverse Logistics Network Design for Medical Waste Disposal under the Scenario of Uncertain Proposal Demand. SUSTAINABILITY, 16(7). https://doi.org/10.3390/su16072996
Este trabalho está licenciado sob uma licença Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License.
Copyright (c) 2025 Revista Teinnova
