Comparative analysis of different meat traceability systems using multiple criteria and a social network approach

Detalhes bibliográficos
Autor(a) principal: NÄÄS,IRENILZA DE A.
Data de Publicação: 2015
Outros Autores: MOLLO NETO,MARIO, VENDRAMETTO,ODUVALDO, CANUTO,SIMONE A.
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Engenharia Agrícola
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340
Resumo: The adoption of a proper traceability system is being incorporated into meat production practices as a method of gaining consumer confidence. The various partners operating in the chain of meat production can be considered a social network, and they have the common goal of generating a communication process that can ensure each characteristic of the product, including safety. This study aimed to select the most appropriate meat traceability system “from farm to fork” that could be applied to Brazilian beef and pork production for international trade. The research was done in three steps. The first used the analytical hierarchy process (AHP) for selecting the best on-farm livestock traceability. In the second step, the actors in the meat production chain were identified to build a framework and defined each role in the network. In the third step, the selection of the traceability system was done. Results indicated that with an electronic traceability system, it is possible to acquire better connections between the links in the chain and to provide the means for managing uncertainties by creating structures that facilitate information flow more efficiently.
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spelling Comparative analysis of different meat traceability systems using multiple criteria and a social network approachanalytic hierarchy processfood traceabilitysocial network analysis-SNAThe adoption of a proper traceability system is being incorporated into meat production practices as a method of gaining consumer confidence. The various partners operating in the chain of meat production can be considered a social network, and they have the common goal of generating a communication process that can ensure each characteristic of the product, including safety. This study aimed to select the most appropriate meat traceability system “from farm to fork” that could be applied to Brazilian beef and pork production for international trade. The research was done in three steps. The first used the analytical hierarchy process (AHP) for selecting the best on-farm livestock traceability. In the second step, the actors in the meat production chain were identified to build a framework and defined each role in the network. In the third step, the selection of the traceability system was done. Results indicated that with an electronic traceability system, it is possible to acquire better connections between the links in the chain and to provide the means for managing uncertainties by creating structures that facilitate information flow more efficiently.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=S0100-69162015000200340Engenharia Agrícola v.35 n.2 2015reponame:Engenharia Agrícolainstname:Associação Brasileira de Engenharia Agrícola (SBEA)instacron:SBEA10.1590/1809-4430-Eng.Agric.v35n2p340-349/2015info:eu-repo/semantics/openAccessNÄÄS,IRENILZA DE A.MOLLO NETO,MARIOVENDRAMETTO,ODUVALDOCANUTO,SIMONE A.eng2016-07-14T00:00:00Zoai:scielo:S0100-69162015000200340Revistahttp://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 Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
title Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
spellingShingle Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
NÄÄS,IRENILZA DE A.
analytic hierarchy process
food traceability
social network analysis-SNA
title_short Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
title_full Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
title_fullStr Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
title_full_unstemmed Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
title_sort Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
author NÄÄS,IRENILZA DE A.
author_facet NÄÄS,IRENILZA DE A.
MOLLO NETO,MARIO
VENDRAMETTO,ODUVALDO
CANUTO,SIMONE A.
author_role author
author2 MOLLO NETO,MARIO
VENDRAMETTO,ODUVALDO
CANUTO,SIMONE A.
author2_role author
author
author
dc.contributor.author.fl_str_mv NÄÄS,IRENILZA DE A.
MOLLO NETO,MARIO
VENDRAMETTO,ODUVALDO
CANUTO,SIMONE A.
dc.subject.por.fl_str_mv analytic hierarchy process
food traceability
social network analysis-SNA
topic analytic hierarchy process
food traceability
social network analysis-SNA
description The adoption of a proper traceability system is being incorporated into meat production practices as a method of gaining consumer confidence. The various partners operating in the chain of meat production can be considered a social network, and they have the common goal of generating a communication process that can ensure each characteristic of the product, including safety. This study aimed to select the most appropriate meat traceability system “from farm to fork” that could be applied to Brazilian beef and pork production for international trade. The research was done in three steps. The first used the analytical hierarchy process (AHP) for selecting the best on-farm livestock traceability. In the second step, the actors in the meat production chain were identified to build a framework and defined each role in the network. In the third step, the selection of the traceability system was done. Results indicated that with an electronic traceability system, it is possible to acquire better connections between the links in the chain and to provide the means for managing uncertainties by creating structures that facilitate information flow more efficiently.
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=S0100-69162015000200340
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1809-4430-Eng.Agric.v35n2p340-349/2015
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
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