Dissertações
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/174
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Item Sistema Automático de Balanceamento de Unidades Consumidoras Monofásicas Conectadas na Rede de Distribuição de Baixa Tensão(Instituto de Tecnologia, 2018) Alex Sander Leocádio Dias; Manoel Henrique Reis NascimentoThe dissertation presents an automatic system for load balancing in single-phase consumer units connected to the low-voltage distribution network. The objective is to minimize imbalances between phases, reducing technical losses and improving the efficiency of the electrical system. To this end, an approach based on fuzzy logic is used, which allows real-time decision-making to redistribute loads between phases. The study includes simulations and tests in a controlled environment, demonstrating the effectiveness of the proposed method in optimizing load balancing. The results indicate that the system can significantly contribute to improving the quality of the electrical energy supplied, reducing voltage variations and increasing the useful life of the network equipment.Item 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.Item Aplicação do Método Fuzzy no Controle da Geração de Acetaldeído na Resina PET no Processo de Injeção de Pré-Formas de Embalagens Plásticas(Universidade Federal do Pará, 2018) MONTEIRO, Carlos Alberto; MACÊDO, Emanuel NegrãoIn order to control the drying temperature of PET resin in the silo of a plastic injection molding machine during the plastic injection process in industries producing preforms for beverage bottles, it is necessary to carefully regulate the ideal temperature. This impacts the control of Acetaldehyde (AA) generation, a substance that alters the taste of carbonated and non-carbonated drinks. This work aims to develop a tool based on Fuzzy logic to support the control of PET resin drying temperature, allowing specialists to make ideal temperature regulation decisions. The Fuzzy inference model was implemented using Matlab’s Fuzzy toolbox, considering input variables, Fuzzification rules, and output variables based on collected data from the preform injection process. The inference model resulted in more precise management of variables influencing AA generation, estimating an annual cost reduction of R$ 907,200.00 in preform production.