5 resultados para warehouse logistics

em Scielo Saúde Pública - SP


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O objetivo deste artigo foi apresentar as bases para a construção de uma ferramenta re-leitora do Processo Saúde-doença, por meio da relação dialógica entre categorias sociais e as variáveis funcionais, contidas no instrumento CIPESC® de Curitiba. Ancorou-se nos marcos conceituais apresentados na Teoria da Intervenção Práxica da Enfermagem em Saúde Coletiva. A ferramenta constituiu-se de um modelo analítico de apoio à tomada de decisão, pretendendo o desenvolvimento de data warehouse. Os dados do prontuário eletrônico do paciente, relacionados às categorias: Necessidade, Classe Social, Gênero, Etnia e Geração, desvelam a face social e atribuem vulnerabilidade aos grupos sociais homogêneos. Foram visualizados quatro graus de vulnerabilidade, qualificados por 11 marcadores. O estudo remeteu à reflexão de que as desigualdades reproduzem-se ao longo do tempo e transformam grupos em alvos de imobilidade social. Embora existam lacunas para visualização das categorias sociais, o instrumento permitiu visualizar a face coletiva de famílias e grupos sociais.

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The role of the logistics in the design of synthetic pathways aimed at greenish is discussed. The influence on costs (of reagents, solvents and total), as well as on atomic productivity green metrics (atomic economy and E factor), of the position along the pathway of a step with low yield, or involving high dilution of the reagents or expensive reagents, has been evaluated by calculations on a linear pathway model. The results show the economic importance of Green Chemistry and provide useful information for pathway design or improvement.

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This work presents a route for processing spent ink-jet cartridges in an experimental course. The disassembly of the cartridges requires several steps and the recognition of their different components is essential to define the best final destination (recycling, co-processing). The plastic strips were chemically processed so as to recover gold and copper. The students recognized the difficulty of processing multicomponent wastes and the importance of the chemical work under the best safety conditions; they also experienced many laboratory techniques and recognized the value of the selective collection and the reverse logistics to reach a viable commercial scale recycling.

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ABSTRACT Inventory and prediction of cork harvest over time and space is important to forest managers who must plan and organize harvest logistics (transport, storage, etc.). Common field inventory methods including the stem density, diameter and height structure are costly and generally point (plot) based. Furthermore, the irregular horizontal structure of cork oak stands makes it difficult, if not impossible, to interpolate between points. We propose a new method to estimate cork production using digital multispectral aerial imagery. We study the spectral response of individual trees in visible and near infrared spectra and then correlate that response with cork production prior to harvest. We use ground measurements of individual trees production to evaluate the model’s predictive capacity. We propose 14 candidate variables to predict cork production based on crown size in combination with different NDVI index derivates. We use Akaike Information Criteria to choose the best among them. The best model is composed of combinations of different NDVI derivates that include red, green, and blue channels. The proposed model is 15% more accurate than a model that includes only a crown projection without any spectral information.