DocumentCode
36967
Title
Disaster Relief Facility Network Design in Metropolises
Author
Lu Zhen ; Kai Wang ; Hu-Chen Liu
Author_Institution
Sch. of Manage., Shanghai Univ., Shanghai, China
Volume
45
Issue
5
fYear
2015
fDate
May-15
Firstpage
751
Lastpage
761
Abstract
This paper studies a strategic level decision problem for disaster relief facility network planning in metropolises. This problem is concerned with some long-term decisions on locating the emergency shelters, locating the supply and medical centers, and maintaining fleets of ambulances and transportation vehicles. These established facilities and deployed vehicles constitute a humanitarian logistic network for rapid responses and reliefs. An integer programming model is proposed to minimize the total cost of establishing such a disaster response network. A Lagrangian relaxation method is developed for solving the problem in large scales. To illustrate the proposed method´s usage in practice, a demo example about its application in Shanghai is given. Some numerical experiments are also performed to validate the effectiveness and the efficiency of the proposed model and method.
Keywords
cost reduction; emergency management; integer programming; minimisation; network theory (graphs); relaxation theory; strategic planning; transportation; Lagrangian relaxation method; Shanghai; ambulances; disaster relief facility network planning; disaster response network; emergency shelter location; humanitarian logistic network; integer programming model; long-term decisions; medical center location; metropolises; strategic level decision problem; supply center location; total cost minimization; transportation vehicles; Equations; Linear programming; Logistics; Mathematical model; Numerical models; Relaxation methods; Vehicles; Emergency; Lagrangian relaxation; integer programming; location; relief operations;
fLanguage
English
Journal_Title
Systems, Man, and Cybernetics: Systems, IEEE Transactions on
Publisher
ieee
ISSN
2168-2216
Type
jour
DOI
10.1109/TSMC.2014.2364550
Filename
6953310
Link To Document