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
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Creator |
Lima, Fabiana santos
Oliveira, Daniel de Gonçalves, Mirian Buss Samed, Márcia Marcondes Altimari |
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Subject |
Humanitarian Logistics;Clusters;Natural Disasters; Preparedness and Response;Procurement of Relief Supplies
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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).
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Publisher |
Facultad de Economía y Negocios, Universidad Alberto Hurtado
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Contributor |
CNPq
CAPES Fundação Araucária |
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Date |
2014-06-19
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Type |
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion Artículo revisado por pares |
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Format |
application/pdf
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Identifier |
http://www.jotmi.org/index.php/GT/article/view/1503
10.4067/S0718-27242014000200007 |
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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 |
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Language |
eng
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Relation |
http://www.jotmi.org/index.php/GT/article/view/1503/910
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Rights |
Copyright (c) 2014 Journal of Technology Management & Innovation
http://creativecommons.org/licenses/by/4.0 |
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