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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Vydáno v:Annals of operations research Ročník 335; číslo 3; s. 1401 - 1447
Hlavní autoři: Cao, Cejun, Li, Juan, Liu, Ju, Liu, Jiahui, Qiu, Hanguang, Zhen, Jie
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Springer US 01.04.2024
Springer
Springer Nature B.V
Témata:
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
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Shrnutí: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 location-transportation integrated optimization problem with the concern of sustainability, which is formulated as a tri-objective mixed-integer programming model with the goals of maximizing total economic benefits, minimizing total carbon emissions and total potential social risks. Then, a real-world case from Wuhan using CPLEX solver is used to validate the developed model. Results indicate that constructing DMWTTSs with flexible capacity in different periods is encouraged to handle the sharply increasing disaster medical waste. The multi-period decision model outperforms the single-period one in disaster medical waste supply chains because the former has the capability of handling the uncertainties in the future periods. Increasingly, since the increase of budget doesn’t always work well and social resources are limited, the estimation of minimum budget to obtain optimum overall performance is of great importance.
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ISSN:0254-5330
1572-9338
DOI:10.1007/s10479-022-04820-2