Documentação de convênios

URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/173

Trabalhos ténico-científico oriundos de convênios com universidades para oferta de turmas de mestrado e doutorados no Estado do Amazonas

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2018 - 20192

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    Aplicação da Programação Linear no Controle de Estoque de Peças de Reposição em uma Organização Aérea: Estudo de Caso
    (Instituto de Tecnologia, 2018) Alexandra Priscila Costa Pessoa; Rui Nelson Otoni Magno
    The research addresses the application of Linear Programming as a tool to optimize spare parts inventory control in an airline organization. The study seeks to minimize costs and maximize logistics efficiency, considering operational constraints and the demand for parts. The methodology employed involves the formulation of mathematical models based on Linear Programming to determine the ideal quantity of parts to be kept in stock, ensuring the necessary availability without excesses that could financially impact the organization. The case study presents a practical application of the proposed modeling in an airline company, demonstrating the benefits of the approach. The results indicate that the use of Linear Programming can lead to a significant reduction in operating costs, improving inventory planning and management. The research contributes to the literature on supply management by providing a model that can be adapted to different business contexts that deal with the maintenance and replacement of critical parts.
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    SELEÇÃO DE FORNECEDORES DE PEÇAS USANDO FUZZY AHP NO SETOR DE PRODUÇÃO DE ÁUDIO E TELEVISÃO.
    (Universidade Federal do Pará, 2019) VIEIRA, Geórgenes Wilkens Maciel.; BRAGA, Eduardo de Magalhães.
    Today's highly competitive environment forces manufacturing organizations to establish effective long-term collaboration with efficient suppliers. This study develops a decision support model for selecting parts suppliers using the Fuzzy Analytic Hierarchy Process (FAHP) within a supply chain. The methodology involves specialists from Procurement, Quality, and Process Engineering for supplier evaluation. As a result, the model enhances decision-making by defining criteria priorities and weights, proving reliable and easy to execute, though dependent on participant expertise.