A multi-objective robust optimization model for logistics planning in the earthquake response phase

M. Najafi, K. Eshghi, W.E.H. Dullaert

Research output: Contribution to JournalArticleAcademicpeer-review

Abstract

Usually, resources are short in supply when earthquakes occur. In such emergency situations, disaster relief organizations must use these scarce resources efficiently to achieve the best possible emergency relief. This paper therefore proposes a multi-objective, multi-mode, multi-commodity, and multi-period stochastic model to manage the logistics of both commodities and injured people in the earthquake response. Also, a robust approach is developed and used to make sure that the distribution plan performs well under the various situations that can follow an earthquake. Afterwards, it proposes a solution methodology according to hierarchical objective functions and uses it to illustrate the customized robust modeling approach. © 2012 Elsevier Ltd.
LanguageEnglish
Pages217-249
Number of pages19
JournalTransportation Research Part E: Logistics and Transportation Review
Volume49
Issue number1
DOIs
Publication statusPublished - 2013

Fingerprint

optimization model
Logistics
Earthquakes
natural disaster
logistics
Planning
planning
commodity
Stochastic models
resources
Disasters
disaster
supply
methodology
Earthquake
Robust optimization
Optimization model
Commodities
Resources
Emergency

Cite this

@article{2f9bbb40eb214591a197ed01a1c0a981,
title = "A multi-objective robust optimization model for logistics planning in the earthquake response phase",
abstract = "Usually, resources are short in supply when earthquakes occur. In such emergency situations, disaster relief organizations must use these scarce resources efficiently to achieve the best possible emergency relief. This paper therefore proposes a multi-objective, multi-mode, multi-commodity, and multi-period stochastic model to manage the logistics of both commodities and injured people in the earthquake response. Also, a robust approach is developed and used to make sure that the distribution plan performs well under the various situations that can follow an earthquake. Afterwards, it proposes a solution methodology according to hierarchical objective functions and uses it to illustrate the customized robust modeling approach. {\circledC} 2012 Elsevier Ltd.",
author = "M. Najafi and K. Eshghi and W.E.H. Dullaert",
year = "2013",
doi = "10.1016/j.tre.2012.09.001",
language = "English",
volume = "49",
pages = "217--249",
journal = "Transportation Research Part E: Logistics and Transportation Review",
issn = "1366-5545",
publisher = "Elsevier Limited",
number = "1",

}

A multi-objective robust optimization model for logistics planning in the earthquake response phase. / Najafi, M.; Eshghi, K.; Dullaert, W.E.H.

In: Transportation Research Part E: Logistics and Transportation Review, Vol. 49, No. 1, 2013, p. 217-249.

Research output: Contribution to JournalArticleAcademicpeer-review

TY - JOUR

T1 - A multi-objective robust optimization model for logistics planning in the earthquake response phase

AU - Najafi, M.

AU - Eshghi, K.

AU - Dullaert, W.E.H.

PY - 2013

Y1 - 2013

N2 - Usually, resources are short in supply when earthquakes occur. In such emergency situations, disaster relief organizations must use these scarce resources efficiently to achieve the best possible emergency relief. This paper therefore proposes a multi-objective, multi-mode, multi-commodity, and multi-period stochastic model to manage the logistics of both commodities and injured people in the earthquake response. Also, a robust approach is developed and used to make sure that the distribution plan performs well under the various situations that can follow an earthquake. Afterwards, it proposes a solution methodology according to hierarchical objective functions and uses it to illustrate the customized robust modeling approach. © 2012 Elsevier Ltd.

AB - Usually, resources are short in supply when earthquakes occur. In such emergency situations, disaster relief organizations must use these scarce resources efficiently to achieve the best possible emergency relief. This paper therefore proposes a multi-objective, multi-mode, multi-commodity, and multi-period stochastic model to manage the logistics of both commodities and injured people in the earthquake response. Also, a robust approach is developed and used to make sure that the distribution plan performs well under the various situations that can follow an earthquake. Afterwards, it proposes a solution methodology according to hierarchical objective functions and uses it to illustrate the customized robust modeling approach. © 2012 Elsevier Ltd.

U2 - 10.1016/j.tre.2012.09.001

DO - 10.1016/j.tre.2012.09.001

M3 - Article

VL - 49

SP - 217

EP - 249

JO - Transportation Research Part E: Logistics and Transportation Review

T2 - Transportation Research Part E: Logistics and Transportation Review

JF - Transportation Research Part E: Logistics and Transportation Review

SN - 1366-5545

IS - 1

ER -