A bi-objective model for the location of relief centers and distribution of commodities in disaster response operations

Abstract Consequences of natural disasters in recent years have shown the complexity of these situations. In disaster situations, the location of relief centers, the distribution of supplies and the fleet sizing are some of the most important decisions. In most cases the execution of this operations...

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Bibliographic Details
Published in:Dyna (Medellín, Colombia) Vol. 84; no. 200; pp. 356 - 366
Main Authors: Moreno, Alfredo, Ferreira, Deisemara, Alem, Douglas
Format: Journal Article
Language:English
Portuguese
Published: Universidad Nacional de Colombia 01.03.2017
Subjects:
dimensionamiento de flota
distribución
distribution
ENGINEERING, MULTIDISCIPLINARY
fleet sizing
humanitarian logistic
localización
location
logística humanitaria
objective optimization
optimización biobjetivo
programación estocástica
stochastic programming
dimensionamiento de flota
localización-distribución
humanitarian logistic
logística humanitaria
programación estocástica
location-distribution
stochastic programming
bi-objective optimization
fleet sizing
optimización biobjetivo
ISSN:0012-7353
Online Access:Get full text
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Summary:Abstract Consequences of natural disasters in recent years have shown the complexity of these situations. In disaster situations, the location of relief centers, the distribution of supplies and the fleet sizing are some of the most important decisions. In most cases the execution of this operations lead to contradictory objectives, mainly, logistic costs and unmet demand costs. On the one hand, minimize unmet demand implies higher logistics costs. On the other hand, minimize logistics costs without considering the unmet demand may lead with an inefficient attendance in the affected areas. In this paper, we propose a bi-objective stochastic programing model for the integrated problem of location-distribution and fleet sizing. We solve instances based on the mega disaster in the Mountain Region of Rio de Janeiro in 2011. We compare the solutions of a bi-objective model in respect to solutions of a mono-objective version, highlighting the advantages and disadvantages of each model.
ISSN:0012-7353
DOI:10.15446/dyna.v84n200.54810