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Registro Completo |
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Biblioteca(s): |
Embrapa Unidades Centrais. |
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Data corrente: |
01/02/2016 |
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Data da última atualização: |
01/02/2016 |
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Tipo da produção científica: |
Artigo em Periódico Indexado |
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Autoria: |
SOUZA, G. da S. e; GOMES, E. G. |
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Afiliação: |
GERALDO DA SILVA E SOUZA, SGE; ELIANE GONCALVES GOMES, SGE. |
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Título: |
A performance measure to support decision-making in Agricultural Research Center in Brazil. |
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Ano de publicação: |
2015 |
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Fonte/Imprenta: |
Procedia Computer Science, v. 55, p. 405-414, 2015. |
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DOI: |
10.1016/j.procs.2015.07.094 |
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Idioma: |
Inglês |
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Conteúdo: |
The 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. |
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Palavras-Chave: |
Data Envelopment Analysis; Decision-making. |
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Thesagro: |
Pesquisa agrícola. |
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Thesaurus Nal: |
factor analysis. |
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Categoria do assunto: |
-- |
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URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/138202/1/ProcediaComputerScience2015.pdf
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Marc: |
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024 7 $a10.1016/j.procs.2015.07.094$2DOI
100 1 $aSOUZA, G. da S. e
245 $aA performance measure to support decision-making in Agricultural Research Center in Brazil.$h[electronic resource]
260 $c2015
520 $aThe 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.
650 $afactor analysis
650 $aPesquisa agrícola
653 $aData Envelopment Analysis
653 $aDecision-making
700 1 $aGOMES, E. G.
773 $tProcedia Computer Science$gv. 55, p. 405-414, 2015.
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Registro original: |
Embrapa Unidades Centrais (AI-SEDE) |
