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Registro Completo |
Biblioteca(s): |
Embrapa Agricultura Digital. |
Data corrente: |
07/02/2014 |
Data da última atualização: |
08/01/2020 |
Tipo da produção científica: |
Capítulo em Livro Técnico-Científico |
Autoria: |
OLIVEIRA, D. R. M. dos S.; NÄÄS, I. de A.; BARROS, F. M. M. |
Afiliação: |
DEISE ROCHA MARTINS DOS S OLIVEIRA, CNPTIA; IRENILZA DE ALENCAR NÄÄS, Unip; FLÁVIO MARGARITO MARTINS BARROS, Unicamp. |
Título: |
Prioritization of research proposals using the Analytic Hierarchy Process - AHP. |
Ano de publicação: |
2013 |
Fonte/Imprenta: |
In: INTERNATIONAL CONFERENCE, 2013, State College, CA. Advances in production management systems: sustainable production and service supply chain: proceedings. Heidelberg: Springer, 2013. |
Volume: |
pt. 2 |
Páginas: |
p. 347-352. |
Série: |
(IFIP advances in information and communication technology, 415). |
ISBN: |
978-3-642-41262-2 |
DOI: |
10.1007/978-3-642-41263-9 |
Idioma: |
Inglês |
Notas: |
APMS 2013. |
Conteúdo: |
Abstract. This research is a prospective analysis of prioritizing research proposals using pre-established criteria and applying the Analytic Hierarchy Process-AHP. The prioritized projects should ensure the competitive advantage of the organization. For this analysis, criteria which take into account other factors, which are not purely technical, were applied. The guiding hypothesis of this study was that it is possible to maintain a competitive portfolio of research proposals, from the analysis of pre-established criteria, using the methodology of the Analytic Hierarchy Process, giving priority to innovation and technology transfer. A key finding was the importance of retrieving research projects? history in the company, and stating gaps to be controlled in future analysis. Six ongoing projects were analyzed by 17 interviewed researchers and scores were given. Results obtained using the multicriteria analysis were similar to that previously applied by the selection committee, validating the hypothesis. We concluded that AHP may assist in the identification and prioritization criteria for project portfolio management. |
Palavras-Chave: |
Análise de multicritérios; Multicriteria analysis; Portfólio de projetos; Project portfolio; Projetos de pesquisa; Proposta de projetos; Research proposals selection. |
Thesaurus Nal: |
Research projects. |
Categoria do assunto: |
X Pesquisa, Tecnologia e Engenharia |
Marc: |
LEADER 02268naa a2200301 a 4500 001 1979191 005 2020-01-08 008 2013 bl uuuu u00u1 u #d 020 $a978-3-642-41262-2 024 7 $a10.1007/978-3-642-41263-9$2DOI 100 1 $aOLIVEIRA, D. R. M. dos S. 245 $aPrioritization of research proposals using the Analytic Hierarchy Process - AHP.$h[electronic resource] 260 $c2013 300 $ap. 347-352. pt. 2 490 $a(IFIP advances in information and communication technology, 415).$vpt. 2 500 $aAPMS 2013. 520 $aAbstract. This research is a prospective analysis of prioritizing research proposals using pre-established criteria and applying the Analytic Hierarchy Process-AHP. The prioritized projects should ensure the competitive advantage of the organization. For this analysis, criteria which take into account other factors, which are not purely technical, were applied. The guiding hypothesis of this study was that it is possible to maintain a competitive portfolio of research proposals, from the analysis of pre-established criteria, using the methodology of the Analytic Hierarchy Process, giving priority to innovation and technology transfer. A key finding was the importance of retrieving research projects? history in the company, and stating gaps to be controlled in future analysis. Six ongoing projects were analyzed by 17 interviewed researchers and scores were given. Results obtained using the multicriteria analysis were similar to that previously applied by the selection committee, validating the hypothesis. We concluded that AHP may assist in the identification and prioritization criteria for project portfolio management. 650 $aResearch projects 653 $aAnálise de multicritérios 653 $aMulticriteria analysis 653 $aPortfólio de projetos 653 $aProject portfolio 653 $aProjetos de pesquisa 653 $aProposta de projetos 653 $aResearch proposals selection 700 1 $aNÄÄS, I. de A. 700 1 $aBARROS, F. M. M. 773 $tIn: INTERNATIONAL CONFERENCE, 2013, State College, CA. Advances in production management systems: sustainable production and service supply chain: proceedings. Heidelberg: Springer, 2013.
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5. | | VALE, M. M.; MOURA, D. J. de; NÄÄS, I. de A.; OLIVEIRA, S. R. de M.; RODRIGUES, L. H. A. Data mining to estimate broiler mortality when exposed to heat wave. Scientia Agricola, Piracicaba, v. 65, n. 3, p. 223-229, May/June 2008.Tipo: Artigo em Periódico Indexado | Circulação/Nível: Nacional - A |
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9. | | CORDEIRO, A. F. da S.; NÄÄS, I. de A.; OLIVEIRA, S. R. de M.; VIOLARO, F.; ALMEIDA, A. C. M. de Almeida. Efficiency of distinct data mining algorithms for classifying stress level in piglets from their vocalization. Engenharia Agrícola, Jaboticabal, v. 32, n. 2, p. 208-216, Mar./Apr. 2012.Tipo: Artigo em Periódico Indexado | Circulação/Nível: A - 2 |
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