Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/487
Title: An Integrated Disaster Preparedness Model for Retrofitting and Relief Item Transportation
Authors: Döyen, Alper
Aras, Necati
Keywords: Humanitarian Logistics
Disaster Mitigation
Disaster Response
Two-Stage Stochastic Programming
Lagrangean Relaxation
Stochastic Optimization
Vulnerability Analysis
Road Network
Accessibility
Reliability
Links
Issue Date: 2019
Publisher: SPRINGER
Abstract: In this study, a two-stage stochastic integer programming model is developed with a centralized planning perspective to simultaneously address mitigation and response decisions in humanitarian logistics, where the mitigation decisions involve both building and transportation infrastructure retrofitting. The objective is to minimize the total cost of retrofitting, relief item transportation and relief item shortage under a limited mitigation budget. Due to the excessive number of binary decision variables, solving the model becomes computationally difficult. Therefore, we propose Lagrangean relaxation to decouple the overall model and solve it by Lagrangean heuristics. Computational results indicate the efficiency of the solution approaches in providing high quality feasible solutions to problem instances of realistic size and complexity.
URI: https://doi.org/10.1007/s11067-019-9441-6
https://hdl.handle.net/20.500.13091/487
ISSN: 1566-113X
1572-9427
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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