998 resultados para Análise de valor (Controle de custo)
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Hazard analysis and critical control points (HACCP) is one of the main tools currently used to ensure safety, quality and integrity of foods. So, the aim of this study was to develop and implement the HACCP program in the processing of pasteurized grade A milk Checklists were used to assess on the level of the pre requisites programs and on the sanitary classification of the dairy industry and the results were used as references for the development of the HACCP system. A "decision tree" protocol was used for the identification of the critical control points (CCP). No physical or chemical CCP were identified, whereas pasteurization and packaging were considered biological CCP For these CCP, the limits for prevention, monitoring needs, corrective actions, critical limits and verification procedures were established. The pre requisites program was essential for the establishment of the system. The implementation of the HACCP for the processing of grade A pasteurized milk was efficient to control the biological hazards and enabled the product to comply with the legislation specifications and achieve safety.
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Pós-graduação em Ciência da Informação - FFC
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Composting is considered a process that enables adding value to organic solid waste turning them into organic fertilizer. In this process, factors such as mishandling the windrow, failed to control the temperature, aeration and moisture content will result in the quality of waste decomposition, and thus affect the quality of the final compound. Decentralized systems such as home composting, composting in restaurants, food courts and schools are one of the solutions for valuing these waste in a non expensive way and with greater quality. For this purpose, the project aims to analyze the conditions for composting of solid waste of the University Restaurant of Rio Claro- SP, through two different composting systems: manual revolving windrow and static pile. It was found that in University Restaurant (RU) on average 33% by weight of the total waste generated in the property are capable of composting. In this sense, in order to investigate the preliminary process operation parameters were mounted one manual windrow composed of 100% of the UR waste and a static pile composed of 60% of the UR waste and 40% of pruning and grass residues (PG). This study analyzed the manual revolving windrow and static pile systems for the parameters: moisture content, pH, C / N ratio and temperature. The study of the proportions of the PG and UR waste pointed to the need for pruning and grass residues addition for composting, considering that the manual revolving windrow composed by 100% of the UR waste had no satisfactory performance due to low temperatures measured during 60 days analysis. The best ratio for manual revolving windrow method analyzed in this study was 60% of the UR waste and 40% of PG waste, in dry weight. From this proportion a static pile was assembled, composed of 60% of UR waste e 40% of PG waste from the maintenance activities of the green area of the university. The biological activity in the static pile reached the maximum temperature of ...
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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)
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Pós-graduação em Ginecologia, Obstetrícia e Mastologia - FMB
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Across the industry, regardless of the activity which is intended, the electricity distribution must meet the current and ever growing needs of the market, aiming at reliability and process efficiency. The energy must not only be available to ensure continuity of operation, but also to avoid the costs incurred due to deficiencies and failures. The tendency to migrate to intelligent systems is undeniable and this thesis will be analyzed the advantages that made this kind technology essential, focused on the analysis of the motor control center and as sturdy equipment fit to the concept of intelligent panels. The case study compares in a real scenario the acquisition of a system of low-voltage electrical panels comparing the cost to purchase the same set of panels made with and without the concept of intelligence
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)
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Across the industry, regardless of the activity which is intended, the electricity distribution must meet the current and ever growing needs of the market, aiming at reliability and process efficiency. The energy must not only be available to ensure continuity of operation, but also to avoid the costs incurred due to deficiencies and failures. The tendency to migrate to intelligent systems is undeniable and this thesis will be analyzed the advantages that made this kind technology essential, focused on the analysis of the motor control center and as sturdy equipment fit to the concept of intelligent panels. The case study compares in a real scenario the acquisition of a system of low-voltage electrical panels comparing the cost to purchase the same set of panels made with and without the concept of intelligence
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Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)
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Este trabalho aborda o problema de previsão para séries de vazões médias mensais, no qual denomina-se de horizonte de previsão (h), o intervalo de tempo que separa a última observação usada no ajuste do modelo de previsão e o valor futuro a ser previsto. A análise do erro de previsão é feita em função deste horizonte de previsão. Estas séries possuem um comportamento periódico na média, na variância e na função de autocorrelação. Portanto, considera-se a abordagem amplamente usada para a modelagem destas séries que consiste inicialmente em remover a periodicidade na média e na variância das séries de vazões e em seguida calcular uma série padronizada para a qual são ajustados modelos estocásticos. Neste estudo considera-se para a série padronizada os modelos autorregressivos periódicos PAR (p m). As ordens p m dos modelos ajustados para cada mês são determinadas usando os seguintes critérios: a análise clássica da função de autocorrelação parcial periódica (FACPPe); usando-se o Bayesian Information Criterion (BIC) proposto em (MecLeod, 1994); e com a análise da FACPPe proposta em (Stedinger, 2001). Os erros de previsão são calculados, na escala original da série de vazão, em função dos parâmetros dos modelos ajustados e avaliados para horizontes de previsão h variando de 1 a 12 meses. Estes erros são comparados com as estimativas das variâncias das vazões para o mês que está sendo previsto. Como resultado tem-se uma avaliação da capacidade de previsão, em meses, dos modelos ajustados para cada mês.