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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Lenguaje: | English |
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Universidad Alberto Hurtado. Facultad de Economía y Negocios
2014
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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 |
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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 |
work_keys_str_mv |
AT santoslimafabiana humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations AT deoliveiradaniel humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations AT bussgoncalvesmirian humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations AT marcondesaltimarisamedmarcia humanitarianlogisticsaclusteringmethodologyforassistinghumanitarianoperations |
_version_ |
1714203252383285248 |