147 resultados para Shoe Factory.
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The aim of present work is the interpretation of a Coca Cola soft drink advertising image that is shown on a billboard in the city of Presidente Prudente, in São Paulo state. The billboard shows a scene of the video titled Happiness Factory which was presented on television in 2008. Decoding this kind of image, which is integrated to the theoretical and methodical option, favors the visual perception of shapes and their meanings as a reading of the image and the inclusion of the studies of phenomenology of cultural geography to the social reality could reveal some other dimensions, such as the symbolic, the imaginary, the aesthetic ones.This fact will contribute to widen the social trait of Geography and it represents our object of study.The reading will be done after some reflexion on the function of an external advertisement, that is, within the urban context of Presidente Prudente when refering to billboard being studied. It will also be discussed the importance of becoming a critical reader when interpreting advertising messages presented by the communication means in general.
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The aim of this study is to characterize the relationships in innovation and business clustering processes in the productive chain of small and medium enterprises (SME) of Brazil. The object of study are SMEs the local procuctive cluster of the shoes in Franca, State of São Paulo. The conceptual model developed is based on the following constructs: vertical integration, innovation and characteristics of the cluster, and it is focused on identifying the agents that act predominantly in product innovation processes in the cluster. A survey was conducted. It was found that there is cooperation between the companies in the productive arrangement studied, and that shoe manufacturers are those who, predominantly, stimulate innovation within the cluster.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Engenharia Mecânica - FEG
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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The aim of this paper was to perform an energy assessment of firewood and woodshaving use for energy generation in sericulture agroindustry boilers. In this research, we used a boiler from a silk spinning factory located in the city of Duartina, São Paulo, Brazil, that currently uses eucalyptus firewood as fuel to generate water vapour used in silk fiber production. In the studied fuels utilization system energy consumption structure development, we considered energy input in Megajoule (MJ) by type, source and form involved in several firewood use technical itinerary operations, as well as in woodshaving use technical itinerary operations. From these fuels utilization built structure, we performed a firewood- and woodshaving-generated energy input comparative analysis, in Megajoule/hour (MJ.h-1), to produce 2.968,80 kg.h-1 of vapour, which is the boiler average production, during the following years: 2004, 2005, and 2006. The energy analysis results revealed that to replace eucalyptus firewood with woodshaving is something possible in the boiler, reducing total energy consumption approximately by 21%.
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ciência da Computação - IBILCE
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This work deals with a problem of mixed integer optimization model applied to production planning of a real world factory that aims for hydraulic hose production. To optimize production planning, a mathematic model of MILP Mixed Integer Linear Programming, so that, along with the Analytic Hierarchy process method, would be possible to create a hierarchical structure of the most import criteria for production planning, thus finding through a solving software the optimum hose attribution to its respective machine. The hybrid modeling of Analytic Hierarchy Process along with Linear Programming is the focus of this work. The results show that using this method we could unite factory reality and quantitative analysis and had success on improving performance of production planning efficiency regarding product delivery and optimization of the production flow