Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations

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 approa...

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Autores principales: Santos Lima,Fabiana, de Oliveira,Daniel, Buss Gonçalves,Mirian, Marcondes Altimari Samed,Márcia
Lenguaje:English
Publicado: Universidad Alberto Hurtado. Facultad de Economía y Negocios 2014
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Acceso en línea:http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242014000200007
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spelling oai:scielo:S0718-272420140002000072015-11-12Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian OperationsSantos Lima,Fabianade Oliveira,DanielBuss Gonçalves,MirianMarcondes Altimari Samed,Márcia humanitarian logistics clusters natural disasters preparedness and response procurement of relief supplies 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).info:eu-repo/semantics/openAccessUniversidad Alberto Hurtado. Facultad de Economía y NegociosJournal of technology management & innovation v.9 n.2 20142014-07-01text/htmlhttp://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242014000200007en10.4067/S0718-27242014000200007
institution Scielo Chile
collection Scielo Chile
language English
topic humanitarian logistics
clusters
natural disasters
preparedness and response
procurement of relief supplies
spellingShingle humanitarian logistics
clusters
natural disasters
preparedness and response
procurement of relief supplies
Santos Lima,Fabiana
de Oliveira,Daniel
Buss Gonçalves,Mirian
Marcondes Altimari Samed,Márcia
Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
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).
author Santos Lima,Fabiana
de Oliveira,Daniel
Buss Gonçalves,Mirian
Marcondes Altimari Samed,Márcia
author_facet Santos Lima,Fabiana
de Oliveira,Daniel
Buss Gonçalves,Mirian
Marcondes Altimari Samed,Márcia
author_sort Santos Lima,Fabiana
title Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
title_short Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
title_full Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
title_fullStr Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
title_full_unstemmed Humanitarian Logistics: A Clustering Methodology for Assisting Humanitarian Operations
title_sort humanitarian logistics: a clustering methodology for assisting humanitarian operations
publisher Universidad Alberto Hurtado. Facultad de Economía y Negocios
publishDate 2014
url http://www.scielo.cl/scielo.php?script=sci_arttext&pid=S0718-27242014000200007
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AT bussgoncalvesmirian humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations
AT marcondesaltimarisamedmarcia humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations
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