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)
Identifieur interne : 000388 ( an2020/Analysis ); précédent : 000387; suivant : 000389Reverse Logistics Network Design for Effective Management of Medical Waste in Epidemic Outbreaks: Insights from the Coronavirus Disease 2019 (COVID-19) Outbreak in Wuhan (China)
Auteurs : Hao Yu ; Xu Sun ; Wei Deng Solvang ; Xu ZhaoSource :
- International Journal of Environmental Research and Public Health [ 1661-7827 ] ; 2020.
Descripteurs français
- KwdFr :
- MESH :
- Wicri :
- geographic : République populaire de Chine.
English descriptors
- KwdEn :
- MESH :
- chemical : Medical Waste, Medical Waste Disposal.
- geographic , epidemiology : China.
- epidemiology : Coronavirus Infections, Pneumonia, Viral.
- methods : Waste Management.
- Betacoronavirus, Disease Outbreaks, Epidemics, Humans, Operations Research, Problem Solving, Uncertainty.
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.
Url:
DOI: 10.3390/ijerph17051770
PubMed: 32182811
PubMed Central: 7084373
Affiliations:
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PMC:7084373Le document en format XML
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(W.D.S.)</nlm:aff></affiliation></author><author><name sortKey="Solvang, Wei Deng" sort="Solvang, Wei Deng" uniqKey="Solvang W" first="Wei Deng" last="Solvang">Wei Deng Solvang</name><affiliation><nlm:aff id="af1-ijerph-17-01770">Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway;<email>xu.sun@uit.no</email> (X.S.);<email>wei.d.solvang@uit.no</email> (W.D.S.)</nlm:aff></affiliation></author><author><name sortKey="Zhao, Xu" sort="Zhao, Xu" uniqKey="Zhao X" first="Xu" last="Zhao">Xu Zhao</name><affiliation><nlm:aff id="af2-ijerph-17-01770">School of Economics and Management, China Three Gorges University, Yichang 443002, China;<email>zhaoxu@ctgu.edu.cn</email></nlm:aff></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">PMC</idno><idno type="pmid">32182811</idno><idno type="pmc">7084373</idno><idno type="url">http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084373</idno><idno 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Lodve Langesgate 2, 8514 Narvik, Norway;<email>xu.sun@uit.no</email> (X.S.);<email>wei.d.solvang@uit.no</email> (W.D.S.)</nlm:aff></affiliation></author><author><name sortKey="Sun, Xu" sort="Sun, Xu" uniqKey="Sun X" first="Xu" last="Sun">Xu Sun</name><affiliation><nlm:aff id="af1-ijerph-17-01770">Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway;<email>xu.sun@uit.no</email> (X.S.);<email>wei.d.solvang@uit.no</email> (W.D.S.)</nlm:aff></affiliation></author><author><name sortKey="Solvang, Wei Deng" sort="Solvang, Wei Deng" uniqKey="Solvang W" first="Wei Deng" last="Solvang">Wei Deng Solvang</name><affiliation><nlm:aff id="af1-ijerph-17-01770">Department of Industrial Engineering, UiT The Arctic University of Norway, Lodve Langesgate 2, 8514 Narvik, Norway;<email>xu.sun@uit.no</email> (X.S.);<email>wei.d.solvang@uit.no</email> (W.D.S.)</nlm:aff></affiliation></author><author><name sortKey="Zhao, Xu" sort="Zhao, Xu" uniqKey="Zhao X" first="Xu" last="Zhao">Xu Zhao</name><affiliation><nlm:aff id="af2-ijerph-17-01770">School of Economics and Management, China Three Gorges University, Yichang 443002, China;<email>zhaoxu@ctgu.edu.cn</email></nlm:aff></affiliation></author></analytic><series><title level="j">International Journal of Environmental Research and Public Health</title><idno type="ISSN">1661-7827</idno><idno type="eISSN">1660-4601</idno><imprint><date when="2020">2020</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Betacoronavirus</term><term>China (epidemiology)</term><term>Coronavirus Infections (epidemiology)</term><term>Disease Outbreaks</term><term>Epidemics</term><term>Humans</term><term>Medical Waste</term><term>Medical Waste Disposal</term><term>Operations Research</term><term>Pneumonia, Viral (epidemiology)</term><term>Problem Solving</term><term>Uncertainty</term><term>Waste Management (methods)</term></keywords><keywords scheme="KwdFr" xml:lang="fr"><term>Chine (épidémiologie)</term><term>Déchets médicaux</term><term>Flambées de maladies</term><term>Gestion des déchets ()</term><term>Humains</term><term>Incertitude</term><term>Infections à coronavirus (épidémiologie)</term><term>Pneumopathie virale (épidémiologie)</term><term>Recherche opérationnelle</term><term>Résolution de problème</term><term>Élimination des déchets médicaux</term><term>Épidémies</term></keywords><keywords scheme="MESH" type="chemical" xml:lang="en"><term>Medical Waste</term><term>Medical Waste Disposal</term></keywords><keywords scheme="MESH" type="geographic" qualifier="epidemiology" xml:lang="en"><term>China</term></keywords><keywords scheme="MESH" qualifier="epidemiology" xml:lang="en"><term>Coronavirus Infections</term><term>Pneumonia, Viral</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Waste Management</term></keywords><keywords scheme="MESH" qualifier="épidémiologie" xml:lang="fr"><term>Chine</term><term>Infections à coronavirus</term><term>Pneumopathie virale</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Betacoronavirus</term><term>Disease Outbreaks</term><term>Epidemics</term><term>Humans</term><term>Operations Research</term><term>Problem Solving</term><term>Uncertainty</term></keywords><keywords scheme="MESH" xml:lang="fr"><term>Déchets médicaux</term><term>Flambées de maladies</term><term>Gestion des déchets</term><term>Humains</term><term>Incertitude</term><term>Recherche opérationnelle</term><term>Résolution de problème</term><term>Élimination des déchets médicaux</term><term>Épidémies</term></keywords><keywords scheme="Wicri" type="geographic" xml:lang="fr"><term>République populaire de Chine</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>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.</p></div></front><back><div1 type="bibliography"><listBibl><biblStruct><analytic><author><name sortKey="Boonmee, C" uniqKey="Boonmee C">C. Boonmee</name></author><author><name sortKey="Arimura, M" uniqKey="Arimura M">M. Arimura</name></author><author><name sortKey="Asada, T" uniqKey="Asada T">T. 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Yu</name></author><author><name sortKey="Solvang, W D" uniqKey="Solvang W">W.D. Solvang</name></author></analytic></biblStruct></listBibl></div1></back></TEI><affiliations><list></list><tree><noCountry><name sortKey="Solvang, Wei Deng" sort="Solvang, Wei Deng" uniqKey="Solvang W" first="Wei Deng" last="Solvang">Wei Deng Solvang</name><name sortKey="Sun, Xu" sort="Sun, Xu" uniqKey="Sun X" first="Xu" last="Sun">Xu Sun</name><name sortKey="Yu, Hao" sort="Yu, Hao" uniqKey="Yu H" first="Hao" last="Yu">Hao Yu</name><name sortKey="Zhao, Xu" sort="Zhao, Xu" uniqKey="Zhao X" first="Xu" last="Zhao">Xu Zhao</name></noCountry></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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