Vehicle routing problem for humanitarian relief distribution under hybrid uncertainty

PurposeGiven the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in a vehicle routing problem in order to distribute first aid relief items in the post disaster phase, where routes are subject to disruption.D...

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Veröffentlicht in:Kybernetes Jg. 52; H. 4; S. 1503 - 1527
Hauptverfasser: Nodoust, Sara, Pishvaee, Mir Saman, Seyedhosseini, Seyed Mohammad
Format: Journal Article
Sprache:Englisch
Veröffentlicht: London Emerald Publishing Limited 24.03.2023
Emerald Group Publishing Limited
Schlagworte:
Demand
Disaster relief
Disasters
Disruption
Earthquakes
Epistemology
First aid
Humanitarianism
Literature reviews
Mathematical programming
Optimization
Parameter sensitivity
Route planning
Sensitivity analysis
Stochastic models
Stochastic programming
Uncertainty
Vehicle routing
Hybrid uncertainty
Robust possibilistic programming
Routing
Humanitarian relief logistics
Random fuzzy variable
Disaster management
ISSN:0368-492X, 1758-7883
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Abstract PurposeGiven the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in a vehicle routing problem in order to distribute first aid relief items in the post disaster phase, where routes are subject to disruption.Design/methodology/approachTo cope with such kind of uncertainty, the demand rate of relief items is considered as a random fuzzy variable and a robust scenario-based possibilistic-stochastic programming model is elaborated. The results are presented and reported on a real case study of earthquake, along with sensitivity analysis through some important parameters.FindingsThe results show that the demand satisfaction level in the proposed model is significantly higher than the traditional scenario-based stochastic programming model.Originality/valueIn reality, in the occurrence of a disaster, demand rate has a mixture nature of objective and subjective and should be represented through possibility and probability theories simultaneously. But so far, in studies related to this domain, demand parameter is not considered in hybrid uncertainty. The worth of considering hybrid uncertainty in this study is clarified by supplementing the contribution with presenting a robust possibilistic programming approach and disruption assumption on roads.
AbstractList PurposeGiven the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in a vehicle routing problem in order to distribute first aid relief items in the post disaster phase, where routes are subject to disruption.Design/methodology/approachTo cope with such kind of uncertainty, the demand rate of relief items is considered as a random fuzzy variable and a robust scenario-based possibilistic-stochastic programming model is elaborated. The results are presented and reported on a real case study of earthquake, along with sensitivity analysis through some important parameters.FindingsThe results show that the demand satisfaction level in the proposed model is significantly higher than the traditional scenario-based stochastic programming model.Originality/valueIn reality, in the occurrence of a disaster, demand rate has a mixture nature of objective and subjective and should be represented through possibility and probability theories simultaneously. But so far, in studies related to this domain, demand parameter is not considered in hybrid uncertainty. The worth of considering hybrid uncertainty in this study is clarified by supplementing the contribution with presenting a robust possibilistic programming approach and disruption assumption on roads.
Author Seyedhosseini, Seyed Mohammad
Pishvaee, Mir Saman
Nodoust, Sara
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  surname: Pishvaee
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CitedBy_id crossref_primary_10_29109_gujsc_1374303
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crossref_primary_10_1016_j_apm_2023_06_020
crossref_primary_10_3390_math10152699
crossref_primary_10_1016_j_tre_2025_104215
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Issue 4
Keywords Hybrid uncertainty
Robust possibilistic programming
Routing
Humanitarian relief logistics
Random fuzzy variable
Disaster management
Language English
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Snippet PurposeGiven the importance of estimating the demand for relief items in earthquake disaster, this research studies the complex nature of demand uncertainty in...
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SubjectTerms Demand
Disaster relief
Disasters
Disruption
Earthquakes
Epistemology
First aid
Humanitarianism
Literature reviews
Mathematical programming
Optimization
Parameter sensitivity
Route planning
Sensitivity analysis
Stochastic models
Stochastic programming
Uncertainty
Vehicle routing
Title Vehicle routing problem for humanitarian relief distribution under hybrid uncertainty
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Volume 52
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