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dc.contributorCNPqen-US
dc.contributorCAPESen-US
dc.contributorFundação Araucáriaen-US
dc.creatorLima, Fabiana santos
dc.creatorOliveira, Daniel de
dc.creatorGonçalves, Mirian Buss
dc.creatorSamed, Márcia Marcondes Altimari
dc.date2014-06-19
dc.date.accessioned2019-05-03T13:21:58Z
dc.date.available2019-05-03T13:21:58Z
dc.identifierhttps://www.jotmi.org/index.php/GT/article/view/1503
dc.identifier10.4067/S0718-27242014000200007
dc.identifier.urihttp://revistaschilenas.uchile.cl/handle/2250/87187
dc.descriptionIn 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).en-US
dc.formatapplication/pdf
dc.languageeng
dc.publisherFacultad de Economía y Negocios, Universidad Alberto Hurtadoen-US
dc.relationhttps://www.jotmi.org/index.php/GT/article/view/1503/910
dc.rightsCopyright (c) 2014 Journal of Technology Management & Innovationen-US
dc.rightshttp://creativecommons.org/licenses/by/4.0en-US
dc.sourceJournal of Technology Management & Innovation; Vol 9, No 2 (2014); 86-97en-US
dc.sourceJournal of Technology Management & Innovation; Vol 9, No 2 (2014); 86-97es-ES
dc.source0718-2724
dc.subjectHumanitarian Logistics;Clusters;Natural Disasters; Preparedness and Response;Procurement of Relief Suppliesen-US
dc.titleHumanitarian Logistics: a Clustering Methodology for Assisting Humanitarian Operationsen-US
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typeArtículo revisado por paresen-US


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