Comparative analysis of different meat traceability systems using multiple criteria and a social network approach
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , |
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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Engenharia Agrícola |
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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 |
_version_ |
1752126272325025792 |