Sustainable development-oriented location-transportation integrated optimization problem regarding multi-period multi-type disaster medical waste during COVID-19 pandemic

After the outbreak of COVID-19 pandemic, devising an effective reverse logistics supply chain to clean up disaster medical waste is conducive to controlling and containing novel coronavirus transmission. Thus, the focus of this paper concentrates on multi-period multi-type disaster medical waste loc...

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Bibliographic Details
Published in:	Annals of operations research Vol. 335; no. 3; pp. 1401 - 1447
Main Authors:	Cao, Cejun, Li, Juan, Liu, Ju, Liu, Jiahui, Qiu, Hanguang, Zhen, Jie
Format:	Journal Article
Language:	English
Published:	New York Springer US 01.04.2024 Springer Springer Nature B.V
Subjects:	Analysis Budgets Business and Management Combinatorics Coronaviruses COVID-19 Disasters Disease transmission Emissions Infection control Integer programming Logistics Mathematical optimization Medical wastes Mixed integer Operations Research/Decision Theory Optimization Original Research Pandemics Reverse logistics Supply chains Sustainable development Theory of Computation Viral diseases Waste management China COVID-19 pandemic Disaster medical waste Sustainable development Multi-objective mixed-integer programming model Multi-period multi-type location-transportation
ISSN:	0254-5330, 1572-9338
Online Access:	Get full text
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