Use este identificador para citar ou linkar para este item: http://www.alice.cnptia.embrapa.br/alice/handle/doc/1035746
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dc.contributor.authorSOUZA, G. da S. ept_BR
dc.contributor.authorGOMES, E. G.pt_BR
dc.date.accessioned2016-02-01T11:11:11Zpt_BR
dc.date.available2016-02-01T11:11:11Zpt_BR
dc.date.created2016-02-01pt_BR
dc.date.issued2015pt_BR
dc.identifier.citationProcedia Computer Science, v. 55, p. 405-414, 2015.pt_BR
dc.identifier.urihttp://www.alice.cnptia.embrapa.br/alice/handle/doc/1035746pt_BR
dc.descriptionThe assessment of productive efficiency of a public research institution is of fundamental importance for its administration. A better management of available resources may be accompliched if managers have at their disposal meaningful quantitative measurements of the production process. In this paper we use Multivariate Analysis an Data Envelopment Analysis to define a performance measure for the research centers of the Brazilian Agricultural Research Corporation. Multiple production indicators are reduced to three output variables by means of maximum likelihood factor analysis. Performance is determined on the basis of this output vector and a three dimensional input vector defined by cost components. We impose restrictions on the optimization algorithm to guarantee usage of all output and inputs in the optimal solutions.pt_BR
dc.language.isoengeng
dc.rightsopenAccesseng
dc.subjectDecision-makingpt_BR
dc.subjectData Envelopment Analysispt_BR
dc.titleA performance measure to support decision-making in Agricultural Research Center in Brazil.pt_BR
dc.typeArtigo de periódicopt_BR
dc.date.updated2016-02-01T11:11:11Zpt_BR
dc.subject.thesagroPesquisa agrícolapt_BR
dc.subject.nalthesaurusfactor analysispt_BR
riaa.ainfo.id1035746pt_BR
riaa.ainfo.lastupdate2016-02-01pt_BR
dc.identifier.doi10.1016/j.procs.2015.07.094pt_BR
dc.contributor.institutionGERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE.pt_BR
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