6 resultados para Modelo AHP

em Repositório Institucional UNESP - Universidade Estadual Paulista "Julio de Mesquita Filho"


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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 Engenharia Mecânica - FEG

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Wind power is a type of energy that is still not too explored in Brazil and, because of the lack of experience in projects of this size, there are still some problems during the stages of planning and execution of wind farms projects. One of these problems is related with the parts’ transportation logistics, since these parts are difficult to transport, because of their length, weight or shape. Furthermore, another aggravating factor is the lack of options regarding to the transportation modals that are available to do the route between the manufacture place and the project site. To help in the decision-making process about the ideal transportation configuration, aiming to reduce the dependence of the logistics’ coordinator, it was chosen to use he AHP method to compare some criteria that have influence in the modal’s choice process. The criteria, determined by the members of the company’s logistics’ department, are: transportation costs, transportation time and the risk of causing damages to the cargo. The results shown by this model, using theoretical background, that standardize the processes related to the modal’s choice

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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