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: | Repositório Institucional da UNESP |
Texto Completo: | http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340&lng=pt&nrm=iso&tlng=en http://hdl.handle.net/11449/127390 |
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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Comparative analysis of different meat traceability systems using multiple criteria and a social network approachAnálise comparativa de diferentes sistemas de rastreabilidade de carne utilizando abordagem de múltiplos critérios e de redes sociaisAnalytic hierarchy processFood traceabilitySocial network analysis-SNAProcesso analítico hierárquicoRastreabilidade de alimentosAnálise de redes sociais-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.A adoção de um sistema de rastreabilidade apropriado tem sido incorporada às práticas de produção de carne, como forma de ganhar a confiança do consumidor. Os vários parceiros operando na cadeia de produção de carne podem ser considerados como uma rede social, e eles têm o objetivo comum de gerar um processo de comunicação que assegura cada característica do produto, incluindo segurança. Este estudo objetivou selecionar o sistema mais apropriado de rastreabilidade de carne “da fazenda à mesa”, que pudesse ser aplicado à produção brasileira de carne bovina e de suína, para o mercado internacional. A pesquisa foi feita em três passos. No primeiro, foi utilizado o processo de análise hierárquica (AHP) para selecionar a melhor forma de rastreabilidade do rebanho dentro da fazenda. No segundo passo, os atores da cadeia produtora de carne foram identificados, para se construir a estrutura e definir-se cada função dentro da rede. No terceiro passo, a seleção do sistema de rastreabilidade foi efetivada. Os resultados indicaram que, com o sistema eletrônico de rastreabilidade, é possível conseguir-se melhores conexões entre os elos da cadeia e prover meios de gerenciar incertezas através da criação de estruturas que facilitem o fluxo da informação mais eficientemente.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Programa de Pós Graduação em Engª de Produção-UNIP, São Paulo – SPUniversidade Estadual Paulista (UNESP)Universidade Estadual PaulistaAssociação Brasileira de Engenharia AgrícolaUniversidade Paulista (UNIP)Universidade Estadual Paulista (Unesp)Nääs, Irenilza de A.Mollo Neto, Mario [UNESP]Vendrametto, OduvaldoCanuto, Simone A.2015-08-26T19:21:40Z2015-08-26T19:21:40Z2015-04-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article340-349application/pdfhttp://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340&lng=pt&nrm=iso&tlng=enEngenharia Agrícola, v. 35, n. 2, p. 340-349, 2015.0100-6916http://hdl.handle.net/11449/12739010.1590/1809-4430-Eng.Agríc.v35n2p340-349/2015S0100-69162015000200340S0100-69162015000200340.pdf60374633400475970000-0002-8341-4190SciELOreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengEngenharia Agrícola0.3870,305info:eu-repo/semantics/openAccess2024-01-08T06:30:02Zoai:repositorio.unesp.br:11449/127390Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T22:29:25.352175Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Comparative analysis of different meat traceability systems using multiple criteria and a social network approach Análise comparativa de diferentes sistemas de rastreabilidade de carne utilizando abordagem de múltiplos critérios e de redes sociais |
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 Processo analítico hierárquico Rastreabilidade de alimentos Análise de redes sociais-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 [UNESP] Vendrametto, Oduvaldo Canuto, Simone A. |
author_role |
author |
author2 |
Mollo Neto, Mario [UNESP] Vendrametto, Oduvaldo Canuto, Simone A. |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade Paulista (UNIP) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Nääs, Irenilza de A. Mollo Neto, Mario [UNESP] Vendrametto, Oduvaldo Canuto, Simone A. |
dc.subject.por.fl_str_mv |
Analytic hierarchy process Food traceability Social network analysis-SNA Processo analítico hierárquico Rastreabilidade de alimentos Análise de redes sociais-SNA |
topic |
Analytic hierarchy process Food traceability Social network analysis-SNA Processo analítico hierárquico Rastreabilidade de alimentos Análise de redes sociais-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 |
2015-08-26T19:21:40Z 2015-08-26T19:21:40Z 2015-04-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340&lng=pt&nrm=iso&tlng=en Engenharia Agrícola, v. 35, n. 2, p. 340-349, 2015. 0100-6916 http://hdl.handle.net/11449/127390 10.1590/1809-4430-Eng.Agríc.v35n2p340-349/2015 S0100-69162015000200340 S0100-69162015000200340.pdf 6037463340047597 0000-0002-8341-4190 |
url |
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S0100-69162015000200340&lng=pt&nrm=iso&tlng=en http://hdl.handle.net/11449/127390 |
identifier_str_mv |
Engenharia Agrícola, v. 35, n. 2, p. 340-349, 2015. 0100-6916 10.1590/1809-4430-Eng.Agríc.v35n2p340-349/2015 S0100-69162015000200340 S0100-69162015000200340.pdf 6037463340047597 0000-0002-8341-4190 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Engenharia Agrícola 0.387 0,305 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
340-349 application/pdf |
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 |
SciELO reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129430965452800 |