Research on Multiobjective Location of Urban Emergency Logistics under Major Emergencies

After the outbreak of major emergencies, the scheduling of emergency supplies is the key to the emergency rescue work, and the establishment of appropriate emergency logistics centers plays a crucial supporting role. In order to deal with the problem of emergency facility location and material distr...

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Vydáno v:Mathematical problems in engineering Ročník 2021; s. 1 - 12
Hlavní autoři: Wang, Hongchun, Ma, Xinying
Médium: Journal Article
Jazyk:angličtina
Vydáno: New York Hindawi 2021
John Wiley & Sons, Inc
Témata:
Coronaviruses
COVID-19
Decision making
Disasters
Disease transmission
Earthquakes
Emergencies
Fuzzy logic
Genetic algorithms
Linear programming
Logistics
Mathematical problems
Mathematical programming
Mixed integer
Multiple objective analysis
Network management systems
Nonlinear programming
Optimization
Public health
Rescue operations
Beijing China
China
ISSN:1024-123X, 1563-5147
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Shrnutí:After the outbreak of major emergencies, the scheduling of emergency supplies is the key to the emergency rescue work, and the establishment of appropriate emergency logistics centers plays a crucial supporting role. In order to deal with the problem of emergency facility location and material distribution in urban emergency logistics system, this paper establishes a dual objective mixed integer nonlinear programming (MINLP) model with the objective of minimizing the emergency rescue time and maximizing the satisfaction rate of emergency material demand, designs a genetic algorithm to solve the emergency logistics location and allocation model, and obtains the Pareto optimal solution set of the model. Finally, a case study of COVID-19 epidemic in Beijing-Tianjin-Hebei region was carried out to verify the feasibility and effectiveness of the model and algorithm in the actual application, which can provide reference and suggestions for the location and material distribution of urban emergency logistics centers.
Bibliografie:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:1024-123X
1563-5147
DOI:10.1155/2021/5577797