Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak

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dc.authoridErfan Babaee Tirkolaee / 0000-0003-1664-9210
dc.authorscopusidErfan Babaee Tirkolaee / 57196032874
dc.authorwosidErfan Babaee Tirkolaee / U-3676-2017
dc.contributor.authorTirkolaee, Erfan Babaee
dc.contributor.authorAbbasian, Parvin
dc.contributor.authorWeber, Gerhard-Wilhelm
dc.date.accessioned2020-11-25T07:31:07Z
dc.date.available2020-11-25T07:31:07Z
dc.date.issued2021en_US
dc.departmentİstinye Üniversitesi, Mühendislik ve Doğa Bilimleri Fakültesi, Endüstri Mühendisliği Bölümüen_US
dc.description.abstractThe performance of waste management system has been recently interrupted and encountered a very serious situation due to the epidemic outbreak of the novel Coronavirus (COVID-19). To this end, the handling of infectious medical waste has been particularly more vital than ever. Therefore, in this study, a novel mixed-integer linear programming (MILP) model is developed to formulate the sustainable multi-trip location-routing problem with time windows (MTLRP-TW) for medical waste management in the COVID-19 pandemic. The objectives are to concurrently minimize the total traveling time, total violation from time windows/service priorities and total infection/environmental risk imposed on the population around disposal sites. Here, the time windows play a key role to define the priority of services for hospitals with a different range of risks. To deal with the uncertainty, a fuzzy chance-constrained programming approach is applied to the proposed model. A real case study is investigated in Sari city of Iran to test the performance and applicability of the proposed model. Accordingly, the optimal planning of vehicles is determined to be implemented by the municipality, which takes 19.733 h to complete the processes of collection, transportation and disposal. Finally, several sensitivity analyses are performed to examine the behavior of the objective functions against the changes of controllable parameters and evaluate optimal policies and suggest useful managerial insights under different conditions.en_US
dc.identifier.citationTirkolaee, E. B., Abbasian, P., & Weber, G. W. (2020). Sustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreak. The Science of the total environment, 143607. Advance online publication. https://doi.org/10.1016/j.scitotenv.2020.143607en_US
dc.identifier.doi10.1016/j.scitotenv.2020.143607en_US
dc.identifier.issn1879-1026en_US
dc.identifier.pmid33220997en_US
dc.identifier.scopus2-s2.0-85096383382en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.urihttps://doi.org/10.1016/j.scitotenv.2020.143607
dc.identifier.urihttps://hdl.handle.net/20.500.12713/1254
dc.identifier.wosWOS:000603487500020en_US
dc.identifier.wosqualityQ1en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.indekslendigikaynakPubMeden_US
dc.institutionauthorTirkolaee, Erfan Babaee
dc.language.isoenen_US
dc.relation.ispartofThe Science of the total environmenten_US
dc.relation.publicationcategoryMakale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanıen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectCOVID-19 Pandemicen_US
dc.subjectInfection Risken_US
dc.subjectMulti-Trip Location-Routing Problemen_US
dc.subjectSustainable Developmenten_US
dc.subjectWaste Managementen_US
dc.titleSustainable fuzzy multi-trip location-routing problem for medical waste management during the COVID-19 outbreaken_US
dc.typeArticleen_US

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