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Humanitarian Logistics: a Clustering Methodology for Assisting Humanitarian Operations

Journal of Technology Management & Innovation

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Title Humanitarian Logistics: a Clustering Methodology for Assisting Humanitarian Operations
 
Creator Lima, Fabiana santos
Oliveira, Daniel de
Gonçalves, Mirian Buss
Samed, Márcia Marcondes Altimari
 
Subject Humanitarian Logistics;Clusters;Natural Disasters; Preparedness and Response;Procurement of Relief Supplies
 
Description In this paper, we propose a methodology to identify and classify regions by the type and frequency of disasters. The data on the clusters allow you to extract information that can be used in the preparedness phase as well as to identify the relief items needed to meet each cluster. Using this approach, the clusters are formed by using a computing tool that uses as the input the history data of the disasters in the Brazilian state of Santa Catarina, with a specific focus on: windstorms, hail, floods, droughts, landslides, and flash floods. The results show that the knowledge provided by the clustering analysis contributes to the decision making process in the response phase of Humanitarian Logistics (HL).
 
Publisher Facultad de Economía y Negocios, Universidad Alberto Hurtado
 
Contributor CNPq
CAPES
Fundação Araucária
 
Date 2014-06-19
 
Type info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
Artículo revisado por pares
 
Format application/pdf
 
Identifier http://www.jotmi.org/index.php/GT/article/view/1503
10.4067/S0718-27242014000200007
 
Source Journal of Technology Management & Innovation; Vol 9, No 2 (2014); 86-97
Journal of Technology Management & Innovation; Vol 9, No 2 (2014); 86-97
0718-2724
 
Language eng
 
Relation http://www.jotmi.org/index.php/GT/article/view/1503/910
 
Rights Copyright (c) 2014 Journal of Technology Management & Innovation
http://creativecommons.org/licenses/by/4.0