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Registro Completo
Biblioteca(s): |
Embrapa Suínos e Aves. |
Data corrente: |
24/08/2010 |
Data da última atualização: |
27/06/2019 |
Tipo da produção científica: |
Artigo em Periódico Indexado |
Circulação/Nível: |
B - 3 |
Autoria: |
MIELE, M.; COLDEBELLA, A. |
Afiliação: |
MARCELO MIELE, CNPSA; ARLEI COLDEBELLA, CNPSA. |
Título: |
Using Brazilian slaughters variability as a coordination measure. |
Ano de publicação: |
2010 |
Fonte/Imprenta: |
Revista de Política Agrícola, Brasília, DF, v. 19, n. 2, p. 42-47, 2010. |
Idioma: |
Inglês |
Notas: |
Projeto/Plano de Ação: 16.00.300.04-00. |
Conteúdo: |
Supply chain coordination pursuits several objectives, where a higher stability of raw material flow is one of the most important because it reduces idle time costs. In the Brazilian meat industry there are several types of supplying organizations, and its diversity is widespread. However, there are some patterns depending on product, region and time, which can explain differences in coordination performance. The goal is to characterize coordination performance in the Brazilian meat industry, by measuring slaughters variability. It defines coordination performance as the stability of slaughters, which is measured by its annual coefficient of variation. The methodology uses quantitative and qualitative techniques to analyze data from the Quarterly Survey of Animal Slaughter conducted by the Brazilian Geographical and Statistical Institute (IBGE). This survey collect data of the number of heads and total carcass weight from bovine, swine and poultry slaughters, in a monthly basis, since 1997, in all 27 Brazilian states. The results do not reject the four hypothesis assumed by this study, with a coherent relationship between analyzed data, the recent development of the three meat supply chains and theoretical proposals. In general, results reinforce that a more integrated supply chain strengths the coordination effort to reduce slaughters variability. |
Palavras-Chave: |
Cadeia de suprimento; Coeficiente de variação; Indústria de carne; Indústria de carnes; Meat industry; Slaughters variability; Variabilidade de abate; Variação de coeficiente. |
Thesaurus NAL: |
Supply chain. |
Categoria do assunto: |
-- |
URL: |
https://ainfo.cnptia.embrapa.br/digital/bitstream/item/27911/1/MIELE.pdf
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Marc: |
LEADER 02150naa a2200253 a 4500 001 1878138 005 2019-06-27 008 2010 bl uuuu u00u1 u #d 100 1 $aMIELE, M. 245 $aUsing Brazilian slaughters variability as a coordination measure. 260 $c2010 500 $aProjeto/Plano de Ação: 16.00.300.04-00. 520 $aSupply chain coordination pursuits several objectives, where a higher stability of raw material flow is one of the most important because it reduces idle time costs. In the Brazilian meat industry there are several types of supplying organizations, and its diversity is widespread. However, there are some patterns depending on product, region and time, which can explain differences in coordination performance. The goal is to characterize coordination performance in the Brazilian meat industry, by measuring slaughters variability. It defines coordination performance as the stability of slaughters, which is measured by its annual coefficient of variation. The methodology uses quantitative and qualitative techniques to analyze data from the Quarterly Survey of Animal Slaughter conducted by the Brazilian Geographical and Statistical Institute (IBGE). This survey collect data of the number of heads and total carcass weight from bovine, swine and poultry slaughters, in a monthly basis, since 1997, in all 27 Brazilian states. The results do not reject the four hypothesis assumed by this study, with a coherent relationship between analyzed data, the recent development of the three meat supply chains and theoretical proposals. In general, results reinforce that a more integrated supply chain strengths the coordination effort to reduce slaughters variability. 650 $aSupply chain 653 $aCadeia de suprimento 653 $aCoeficiente de variação 653 $aIndústria de carne 653 $aIndústria de carnes 653 $aMeat industry 653 $aSlaughters variability 653 $aVariabilidade de abate 653 $aVariação de coeficiente 700 1 $aCOLDEBELLA, A. 773 $tRevista de Política Agrícola, Brasília, DF$gv. 19, n. 2, p. 42-47, 2010.
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