how soaring agricultural prices will impact the way we do feed business impacto do aumento dos preços agrícolas sobre os negócios do ramo alimentício

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ID: 246565
2010
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Ranked #227 of 235 articles by views in european journal of lipid science and technology

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Abstract
The rising price of agricultural products leads to frequent change of feed recipe, which can cause a high number of reprocessing batches, elevating the overall cost of production. In this study, we proposed an artificial neural network to predict production rate. The conversion of production rate to production cost, the tips for data collection as well as tips for implementation of new feed cost estimation are also discussed. Being able to estimate production rate enables feed mills to improve their operations. In this study, we elaborate its application to feed scheduling (although the applications can be extended to other aspects such as productivity improvement, which goes beyond the scope of this particular study).
O aumento do preço dos produtos agrícolas leva à mudança frequente de receita para alimentação animal, que pode resultar em elevado número de reprocessamento de lotes, aumentando o custo total de produção. Neste estudo, propusemos uma rede neural artificial para prever a taxa de produção. A conversão da taxa de produção para custo de produção, as dicas para a coleta de dados, bem como as dicas para a aplicação de nova estimativa de custo de alimentação, também são discutidas. A capacidade de estimar a taxa de produção e habilitar as fábricas de ração a melhorarem suas operações. Neste estudo, elaboramos a sua aplicação para abastecer a programação (embora os aplicativos podem ser estendidos a outros aspectos, como a melhoria da produtividade, o que ultrapassa o âmbito deste estudo).
Reference Key
pathumnakul2010revistahow Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Supachai Pathumnakul;Kullapapruk Piewthongngam
Journal european journal of lipid science and technology
Year 2010
DOI
10.1590/S1516-35982010001300053
URL
http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1516-35982010001300053
Keywords
artificial neural network feed schedulinganimal culture

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