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Two-stage stochastic integer programming models for strategic disaster preparedness
Döyen, Alper; Aras, Necati; Arda, Yasemin
2013ORBEL 27 - 27th annual conference of the Belgian Operational Research Society
Editorial reviewed
 

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Keywords :
Disaster management; Two-stage stochastic programming
Abstract :
[en] We are interested in two distinct disaster management models which are modeled by two-stage stochastic integer programming. While the first model solution provides optimal post-disaster response related decisions and pre-disaster retrofitting decisions to minimize the total cost, in addition to the first model, the second model considers the recovery actions and the time of earthquake occurrence. In the models, retrofitting decisions are given for both buildings and bridges under a limited budget. Effective and efficient solution methods are proposed in the study.
Disciplines :
Production, distribution & supply chain management
Author, co-author :
Döyen, Alper ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Supply Chain Management
Aras, Necati;  Bogazici University > Department of Industrial Engineering
Arda, Yasemin  ;  Université de Liège - ULiège > HEC-Ecole de gestion : UER > UER Opérations : Supply Chain Management
Language :
English
Title :
Two-stage stochastic integer programming models for strategic disaster preparedness
Publication date :
08 February 2013
Event name :
ORBEL 27 - 27th annual conference of the Belgian Operational Research Society
Event organizer :
KU Leuven
Event place :
Kortrijk, Belgium
Event date :
from 07-02-2013 to 08-02-2013
Peer reviewed :
Editorial reviewed
Available on ORBi :
since 25 September 2013

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