Review and Research on Medical Waste Recycling Network

Authors

  • Qin Liang

DOI:

https://doi.org/10.54097/y080v252

Keywords:

Medical waste, Literature Review, Recycling Network, Site Selection, Path Optimization.

Abstract

The mass production of medical wastes has tested the safety of urban public health, and the recovery and disposal of medical wastes is imminent. Under various environmental backgrounds, such as the sudden increase in the number of medical wastes, the late start of the medical waste recycling industry in China, the low disposal rate, and the improper treatment of medical wastes affecting the environment and personal safety, medical wastes should be managed in a timely and standardized manner, and effective strategies should be put forward to minimize the environmental pollution caused by medical wastes. Therefore, in recent years, this paper studies the optimization of medical waste recycling network and summarizes the current research status of medical waste recycling network in academic circles.

Downloads

Download data is not yet available.

References

Yu Wenyu, Zhong Qiuyan, Zhang zhen. Multi-granularity hesitant fuzzy linguistic group decision-making with incomplete weight information [J]. Systems Engineering Theory and Practice, 2018,38(3):777-785.

Aung T S, Luan S, Xu Q. Application of multi-criteria-decision approach for the analysis of medical waste management systems in Myanmar[J]. Journal of Cleaner Production, 2019,222(17):733-745.

Simic V, Torkayesh A E, Maghsoodi A L. Locating a disinfection facility for hazardous healthcare waste in the COVID-19 era: a novel approach based on Fermatean fuzzy ITARA-MA RCOS and random forest recursive feature elimination algorithm[J]. Annals of operations research, 2022.

Hailong Zhao, HanQiao Liu, Guoxia Wei. Comparative life cycle assessment of emergency disposal scenarios for medical waste during the COVID-19 pandemic in China[J]. Waste Management, 2021.

Sen Liu, Jinxin Zhang, Ben Niu, A novel hybrid multi-criteria group decision-making approach with intuitionistic fuzzy sets to design reverse supply chains for COVID-19 medical waste recycling channels [J]. Computers & Industrial Engineering, 2022.

Chen Yu Jie, Zhu Lanping, Wei Cuiping. Multi-granularity fuzzy language information fusion method and its application in group decision making [J]. System Science and Mathematics, 2021,42 (02): 355-36.

Dong Gandong, Li Min. Network design of hazardous medical waste management system under emergency conditions [J]. journal of industrial engineering and engineering management, 2022,36(05):156-168.

Wu H, Tao F and Yang B. Optimization of vehicle routing for waste collection and transportation[J]. International Journal of Environmental Research and Public Health 2020,17: 4963.

Yu H, Sun X, Solvang WD, et al. Reverse logistics network design for effective management of medical waste in epidemic outbreaks: Insights from the coronavirus disease 2019 (C OVID-19) outbreak in Wuhan (China)[J]. International Journal of Environmental Research and Public Health 2020,17:1770.

Chen D, Pan S, Chen Q, et al. Vehicle routing problem of contactless joint distribution service during COVID-19 pandemic [J]. Transportation Research Interdisciplinary Perspectives 2020,8:100233.

Tirkolaee EB, Abbasian P and Weber GW. Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. [J]Science of the Total Environment 2021,756:143607.

Yao, L., Xu, Z., Zeng, Z. A soft-path solution to risk reduction by modeling medical waste disposal center location-allocation optimization[J]. Risk Anal. 2020.40(9), 1863–1886.

Yangling Gull, Research and Application on Recovery, Dispatching and Disposal of Urban Medical Wastes under Epidemic Situation —— Taking chenghua district as an Example [D]. Chongqing University, 2021.

Liu Xiaoyan, research on urban medical waste recycling and its recycling network planning [D]. Zhejiang University of Technology, 2019.

Li Yue, Chen Yang, Wu Anhua. Discussion on medical waste disposal technology and management mode in remote areas of China [J]. China Journal of Infection Control, 2019, 18(01): 89-94.

WANG Z, HUANG L, HE C X. A multi-objective and multi-period optimization model for urban healthcare waste's reverse logistics network design [J]. Journal of Combinatorial Optimization, 2021, 42(3): 785-812.

Babaee Tirkolaee, E. and N.S. Aydın, A sustainable medical waste collection and transportation model for pandemics. Waste Management & Research: The Journal for a Sustainable Circular Economy, 2021. 39(1_suppl): p. 34-44.

Liu, Z., et al., Path Optimization of Medical Waste Transport Routes in the Emergent Public Health Event of COVID-19: A Hybrid Optimization Algorithm Based on the Immu ne–Ant Colony Algorithm. International Journal of Environmental Research and Public Health, 2020. 17(16): p. 5831.

Shadkam, E., Cuckoo optimization algorithm in reverse logistics: A network design for COVID-19 waste management. Waste Management & Research: The Journal for a Sustainable Circular Economy, 2022. 40(4): p. 458-469.

Rabbani, M., Heidari, R., Yazdanparast, R., 2019. A stochastic multi-period industrial hazardous waste location-routing problem: integrating NSGA-II and Monte Carlo simulation[J]. European Journal of Operational Research. 272, 945961.

Pu Song, Xia Chang. Urban medical waste recycling network design based on two-stage stochastic programming [J]. China Management Science, 2021,29(05):166-172.

Zhao, J., B. Wu and G.Y. Ke, A bi-objective robust optimization approach for the management of infectious wastes with demand uncertainty during a pandemic. Journal of Cleaner Production, 2021. 314: p. 127922.

Kargar, S., M.M. Paydar and A.S. Safaei, A reverse supply chain for medical waste: A case study in Babol healthcare sector. Waste Management, 2020. 113: p. 197-209.

Yu, H., et al., A stochastic network design problem for hazardous waste management. Journal of Cleaner Production, 2020. 277: p. 123566.

Lotfi, R., et al., Viable medical waste chain network design by considering risk and robustness. Environmental Science and Pollution Research, 2022. 29(53): p. 79702-79717.

Govindan, K, et al., Green reverse logistics network design for medical waste management: A circular economy transition through case approach. Journal of Environmental Management, 2022. 322: p. 115888.

Joneghani, N.M., N. Zarrinpoor and M. Eghtesadifard, A mathematical model for designing a network of sustainable medical waste management under uncertainty. Computers & Industrial Engineering, 2022. 171: p. 108372.

Li Xin, Chen Xi, How can infectious medical waste be forecasted and transported during the COVID-19 pandemic? A hybrid two-stage method. Technological Forecasting & Social Change,2023, 187: p. 122188.

Downloads

Published

26-03-2024

Issue

Section

Articles