Use of interactive performance optimization for identifying the ideal profile of swine finishing producers

Detalhes bibliográficos
Autor(a) principal: SANGOI,LUIZ F.
Data de Publicação: 2015
Outros Autores: KESSLER,ALEXANDRE M., SILUK,JULIO C. M., RIBEIRO,ANDREA M. L., NEUENFELDT JÚNIOR,ALVARO L.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200197
Resumo: The present research aimed to develop a modeling capable of identifying the ideal profile of swine finishing producers using the interactive performance optimization, which began by verifying qualitative the criteria considered most relevant to the decision-making, generating a closed structured diagnosis that covers the socioeconomic aspects about the activity, until the design of a mathematical model able to translate the data obtained in quantitative information. For the verification, it was proposed a practical study for a universe of 120 members of a cooperative in the state of Rio Grande do Sul, Brazil. The results showed that, from the application and the definition of the ideal profile, it was possible to verify that 82 producers are in the group of those who have obtained a "Good" performance, and to 44 the result is in the range between 86% to 90% from the ideal, which means that most have short or medium-term conditions to evolve their status for the considered "Very Good", where only 12.5% of the producers are currently.
id SBEA-1_be4921b5a048752480aa0ef1d98f5e55
oai_identifier_str oai:scielo:S0100-69162015000200197
network_acronym_str SBEA-1
network_name_str Engenharia Agrícola
repository_id_str
spelling Use of interactive performance optimization for identifying the ideal profile of swine finishing producersswine productionperformance optimizationcompetitivenessagribusinessThe present research aimed to develop a modeling capable of identifying the ideal profile of swine finishing producers using the interactive performance optimization, which began by verifying qualitative the criteria considered most relevant to the decision-making, generating a closed structured diagnosis that covers the socioeconomic aspects about the activity, until the design of a mathematical model able to translate the data obtained in quantitative information. For the verification, it was proposed a practical study for a universe of 120 members of a cooperative in the state of Rio Grande do Sul, Brazil. The results showed that, from the application and the definition of the ideal profile, it was possible to verify that 82 producers are in the group of those who have obtained a "Good" performance, and to 44 the result is in the range between 86% to 90% from the ideal, which means that most have short or medium-term conditions to evolve their status for the considered "Very Good", where only 12.5% of the producers are currently.Associação Brasileira de Engenharia Agrícola2015-04-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200197Engenharia Agrícola v.35 n.2 2015reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v35n2p197-205/2015info:eu-repo/semantics/openAccessSANGOI,LUIZ F.KESSLER,ALEXANDRE M.SILUK,JULIO C. M.RIBEIRO,ANDREA M. L.NEUENFELDT JÚNIOR,ALVARO L.eng2016-07-14T00:00:00Zoai:scielo:S0100-69162015000200197Revistahttp://www.engenhariaagricola.org.br/ORGhttps://old.scielo.br/oai/scielo-oai.phprevistasbea@sbea.org.br||sbea@sbea.org.br1809-44300100-6916opendoar:2016-07-14T00:00Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)false
dc.title.none.fl_str_mv Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
title Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
spellingShingle Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
SANGOI,LUIZ F.
swine production
performance optimization
competitiveness
agribusiness
title_short Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
title_full Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
title_fullStr Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
title_full_unstemmed Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
title_sort Use of interactive performance optimization for identifying the ideal profile of swine finishing producers
author SANGOI,LUIZ F.
author_facet SANGOI,LUIZ F.
KESSLER,ALEXANDRE M.
SILUK,JULIO C. M.
RIBEIRO,ANDREA M. L.
NEUENFELDT JÚNIOR,ALVARO L.
author_role author
author2 KESSLER,ALEXANDRE M.
SILUK,JULIO C. M.
RIBEIRO,ANDREA M. L.
NEUENFELDT JÚNIOR,ALVARO L.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv SANGOI,LUIZ F.
KESSLER,ALEXANDRE M.
SILUK,JULIO C. M.
RIBEIRO,ANDREA M. L.
NEUENFELDT JÚNIOR,ALVARO L.
dc.subject.por.fl_str_mv swine production
performance optimization
competitiveness
agribusiness
topic swine production
performance optimization
competitiveness
agribusiness
description The present research aimed to develop a modeling capable of identifying the ideal profile of swine finishing producers using the interactive performance optimization, which began by verifying qualitative the criteria considered most relevant to the decision-making, generating a closed structured diagnosis that covers the socioeconomic aspects about the activity, until the design of a mathematical model able to translate the data obtained in quantitative information. For the verification, it was proposed a practical study for a universe of 120 members of a cooperative in the state of Rio Grande do Sul, Brazil. The results showed that, from the application and the definition of the ideal profile, it was possible to verify that 82 producers are in the group of those who have obtained a "Good" performance, and to 44 the result is in the range between 86% to 90% from the ideal, which means that most have short or medium-term conditions to evolve their status for the considered "Very Good", where only 12.5% of the producers are currently.
publishDate 2015
dc.date.none.fl_str_mv 2015-04-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200197
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200197
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-Eng.Agric.v35n2p197-205/2015
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
publisher.none.fl_str_mv Associação Brasileira de Engenharia Agrícola
dc.source.none.fl_str_mv Engenharia Agrícola v.35 n.2 2015
reponame:Engenharia Agrícola
instname:Associação Brasileira de Engenharia Agrícola (SBEA)
instacron:SBEA
instname_str Associação Brasileira de Engenharia Agrícola (SBEA)
instacron_str SBEA
institution SBEA
reponame_str Engenharia Agrícola
collection Engenharia Agrícola
repository.name.fl_str_mv Engenharia Agrícola - Associação Brasileira de Engenharia Agrícola (SBEA)
repository.mail.fl_str_mv revistasbea@sbea.org.br||sbea@sbea.org.br
_version_ 1752126272300908544