346 resultados para Encontro Nacional de Engenharia de Produção


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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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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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O texto trata da articulação entre o nacional-desenvolvimentismo presente na produção cultural da década de 1950 e a pauta, essencialmente acadêmica e científica, proposta pela chamada escola de sociologia uspiana, sob o comando de Florestan Fernandes. Pretende-se demonstrar que, a despeito da aparente incongurência das duas proposições, na conjuntura de radicalização política e ideológica que se desenvolveu no período e em virtude da leitura de Marx efetivada pelos discípulos de Fernandes, ocorreu um deslocamento desse grupo para uma posição de esquerda que o aproximou, ainda que criticamente, dos temas hegemônicos à época.

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The injection molding of automotive parts is a complex process due to the many non-linear and multivariable phenomena that occur simultaneously. Commercial software applications exist for modeling the parameters of polymer injection but can be prohibitively expensive. It is possible to identify these parameters analytically, but applying classical theories of transport phenomena requires accurate information about the injection machine, product geometry, and process parameters. However, neurofuzzy networks, which achieve a synergy by combining the learning capabilities of an artificial neural network with a fuzzy set's inference mechanism, have shown success in this field. The purpose of this paper was to use a multilayer perceptron artificial neural network and a radial basis function artificial neural network combined with fuzzy sets to produce an inference mechanism that could predict injection mold cycle times. The results confirmed neurofuzzy networks as an effective alternative to solving such problems.

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The aim of this paper is to verify whether the practices of human resource management have a positive influence on the adoption of lean manufacturing practices in Brazilian companies in the automotive sector. To this aim, we proposed a framework linking these concepts to the proposed research hypothesis. Data collected from 75 companies were analyzed using structural equation modeling. The research demonstrates that human resource management indeed tends to influence the adoption of lean manufacturing practices in a weak-moderate manner.

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The purpose of this paper is to analyze the integration of environmental issues in the context of manufacturing function/production (or operations), which is considered the organizational area that should lead corporate environmental management. We present a background on the greening of the manufacturing area, especially in terms of product development, process, quality management and logistics. Four case studies of Brazilian companies are presented as part of the study, and it is found that the maturity level of these companies' environmental management tends to follow the degree to which the environment has been inserted into subareas of production, especially in the process of product development. However, difficulties encountered in greening a company's logistics activities are also recognized in most cases. It is concluded that companies can overcome this challenge by adopting new concepts of green supply chain management. The notes highlight the observed distance between arguments in the international literature and the reality of Brazilian companies on the greening of manufacturing aspects.

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An important tool for organizational change is the standardization of procedures for developing standards so that companies have greater control, thus providing a broad view of their processes and needs. This paper presents and analyzes a model of standard processes developed by the bakeries in PROPAN (Support Programme Bakery), detailing each stage of deployment to evaluate both its benefits for companies and employees and its shortcomings, to make proposals for improvements. Five bakeries were selected for this multi-case study, whose methodology consists of qualitative research using semi-structured interviews, on-site observations and document analysis. The main positive points of the model are the possibility of standardized recipes and procedures, a large decrease in wasted raw material and a significant increase in worker productivity. The main challenges are the lack of employee and owner commitment to the project, the lack of materials needed for deployment and the resistance of employees to change.

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The purpose of this article is to demonstrate an application of the design of block experiments via analysis and multiple linear regression in the investigation of a steel thermal treatment process with multiple responses. The study aimed to design statistical models to predict the mechanical properties in SAE 9254 draw steel wires, with diameters of 2.00 mm and 6.50 mm, after quench hardening and tempering. For this purpose, process input variables (wire diameter, processing speed, tempering temperature and polymer concentration) were investigated regarding their influence on the material tensile strength, yield point and hardness. The results revealed that the mechanical properties of the steel wire are significantly influenced by the selected variables, and analysis of variance (ANOVA) was employed to validate the design of the statistical models. Multiple linear regression allowed for an appropriate representation of the process, and graphical analysis was found to be very useful in displaying the behavior of the multiple responses.

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Pós-graduação em Engenharia de Produção - FEB

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Pós-graduação em Engenharia de Produção - FEB

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Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

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Pós-graduação em Engenharia de Produção - FEB

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Pós-graduação em Engenharia de Produção - FEB