PPG.EGPSA/ITEGAM
URI permanente desta comunidadehttps://rigalileo.itegam.org.br/handle/123456789/1
A comunidade dispõe da produção técnica e científica do Programa de Pós-graduação em Engenharia, Gestão de Processos, Sistema e Ambiental (PPG.EGPSA) do Instituto de Tecnologia e Educação Galileo da Amazônia (ITEGAM), fruto da atividade de pesquisa e desenvolvimento (P&D). É possível acessar os trabalhos de conclusão do programa de pós-graduação, artigos e livros vinculados a pesquisa, desenvolvimento, inovação e extensão.
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11 resultados
Resultados da Pesquisa
Item Aplicação integrada de Lean Office e Indústria 4.0 para otimização de processos administrativos de emissão de notas fiscais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOARES, Vera Alana Nobre; ALENCAR, David Barbosa deThe dissertation addresses the combined application of Lean Office, Industry 4.0 and fuzzy logic in optimizing administrative processes related to issuing invoices. With the use of tools such as Value Stream Mapping (VSM), Kaizen, 5S, robotic process automation (RPA), IoT, Big Data and artificial intelligence, the study proposes an integrated solution to reduce costs, improve solutions and increase productivity. efficiency of administrative operations. Carried out in a company in the electrical materials sector, the results showed improvements in agility, operational costs and customer satisfaction.Item Sistema de inferência fuzzy para avaliação da conformidade do ensaio de mostradores de energia, baseado em normas(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Márcio André de Oliveira; BRITO JUNIOR, Jorge de AlmeidaThis dissertation develops a fuzzy inference system to evaluate the compliance of energy meter displays according to the criteria of Portaria 221, May 23, 2022. Using fuzzy logic, the system analyzes variables such as Digit Segment Quality (QSD), sharpness, and functionality, providing a more precise and adaptable evaluation. The model proposes improvements in cost, speed, and scalability by automating the analysis and reducing human errors, standing out as an effective tool for quality control in industrial environments.Item Estratégias e técnicas computacionais integradas para a redução do tempo de setup em processos industriais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-09-28) SOUZA, Vanessa Silva; ALENCAR, David Barbosa deThis dissertation presents an integrated approach to reducing setup time in industrial processes, combining fuzzy logic, quality tools, SMED (Single-Minute Exchange of Die) technique, and computer simulation. The study followed a five-step methodology, from analyzing the current process to validating proposed strategies, emphasizing that tools and equipment account for 86% of the setup time influence. The SMED application was crucial to eliminating waste and optimizing the process by converting internal activities into external ones.Item Análise decisória para implementação de estratégias integradas para a redução de setup em processos industriais utilizando lógica fuzzy(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-06-09) SOUZA, Vanessa Silva; ALENCAR, David Barbosa de; SILVA, Ítalo Rodrigo SoaresThis article explores the application of Fuzzy Logic as a decision support tool for implementing integrated strategies aimed at reducing setup times in industrial processes. The study seeks to optimize operational efficiency and reduce variability in production processes, ultimately enhancing productivity. A computational model based on Fuzzy Logic was developed to analyze key variables impacting setup times and associated waste. The research was conducted in a company in the Manaus Industrial Park, specializing in electronics. The results showed that the combination of Tools and Equipment with Advanced Planning variables significantly impacts setup time by 86%, highlighting the importance of managing these variables to improve productivity.Item Uso de ferramentas computacionais e de qualidade na melhoria de design de monitores de LCD(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-02-01) SILVA, Ronildo Souza da; LEITE, Jandecy CabralThis dissertation addresses the improvement of LCD monitor design using computational and quality tools. The research is justified by the continuous need for innovation and enhancement of these devices to meet the growing demands for quality and functionality in the global market. The study focused on solving specific design issues, such as adhesive infiltration in the joystick button mechanism, which compromised monitor operation. By applying tools such as PDCA, Ishikawa Diagram, Kaizen, and Fuzzy Logic, the research successfully identified and implemented significant improvements, resulting in a drastic reduction in defect rates and production costs.Item Modelo Fuzzy para Avaliar o Nível do Lean Manufacturing em uma Empresa de Fabricação de Ar-Condicionado Comercial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-05-01) SOARES, Raquel Borges; NASCIMENTO, Manoel Henrique ReisThis dissertation presents the implementation of a Fuzzy model to evaluate the maturity level of Lean Manufacturing in an air conditioning manufacturing company in the Manaus Industrial Hub. The research proposes an innovative methodology that combines Lean philosophy with Fuzzy logic, allowing for a more precise and flexible assessment of production processes. The study was developed in five main stages, including a literature review, the creation of the Fuzzy model using Matlab, and a case study detailing the model's application. The results indicate that the methodology is viable and can significantly contribute to improving the company's efficiency and competitiveness.Item Publicação da Lógica Fuzzy para Tomadas de Decisões nos Critérios de Rateio e Distribuição de Custos Industriais(Instituto Nacional da Propriedade Industrial (INPI), 2023-04-11) NOVO, Breno Tello; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798This document describes a computer program registered under number BR512023002317-5, whose objective is to apply fuzzy logic in decision-making related to criteria for apportionment and distribution of industrial costs. Using fuzzy logic, the program offers a more flexible and accurate approach to dealing with cost uncertainty and variability in industrial environments, allowing for better resource allocation. The tool is especially useful for companies looking to optimize their cost processes and improve operational efficiency. Registration is valid for 50 years from January 1, 2023.Item Aplicação da lógica fuzzy como ferramenta no auxílio da tomada de decisões para otimização de layout de linha de soldagem(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-03-21) FARIAS, Leandro da Mota; GUIMARAES, Gil Eduardo; http://lattes.cnpq.br/8142709905105377In the current market scenario, companies face a highly competitive and challenging market due to various economic and technological factors. Companies that do not modernize themselves are surpassed by new companies with more agile and efficient market methodologies. Therefore, if a company seeks to remain in the market, it must pursue the implementation of new market methodologies. We observe that Industry 4.0 applications are increasingly spreading in the industrial sector through various tools such as automation, IoT, among others. Companies using these tools can reduce costs and become more efficient. Thus, there is a growing demand for the implementation of these tools in the industrial sector. This work aims to apply methods such as Fuzzy logic to develop a Key Performance Indicator (KPI) analysis to assist in the decision-making process aimed at increasing the efficiency of a motorcycle welding production line in a company located in the Manaus Free Trade Zone. Through these mathematical methods, it is possible to losses of the process, helping managers gain a clearer understanding of highly imprecise issues and often dependent on the perspective of decision-makers. Using methods such as: mapping the production process, collecting data such as process time, layout area, productive counterflow, among other indicators, we will prepare an analysis using Fuzzy Logic to aid in the analysis of improving the layout at points such as space layout, parts inventory and line efficiency. The goal of this work is to identify bottleneck points and offer opportunities for deverticalization to propose improvements in production, reducing losses and improving the process flow.Item Modelo Fuzzy para avaliar o nível do Lean Manufacturing em uma Empresa de Fabricação de Ar-Condicionado Comercial(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-10-31) SOARES, Raquel Borges; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798Proper management of shop floor resources has fundamental importance for the financial health and survival of companies. Organizations that work with high levels of waste lose competitiveness due to directing their efforts and investments constantly in corrections instead of new technologies. The waste must be studied and eliminated or mitigated to guarantee the generation of profit, for this purpose the company chosen as the object of application of the research started using the tools of the Lean manufacturing methodology. This work aims to implement a model for assessing the level of Lean Manufacturing based on fuzzy inference in this company that is undergoing a lean transformation process and whose organizational culture was initially not established with the pillars of lean manufacturing. For the creation of the model, the entire production process was mapped, the processes were selected and defined as variables 4 of the tools already implemented by the company 5S, VSM (value stream map), TPM (total productive maintenance) and SMED (single minute exchange of die). The model adopted to determine the Lean level was based on computer simulation as a tool, based on fuzzy logic. The application of the developed model shows that the evaluation of Lean Maturity through the application of Lean Manufacturing tools in the Production Process to be used through the fuzzy methodology proved to be feasible to assist in the desired validations, allowing to understand the impact of each linguistic variable in the research result, pointing out how the Company “MCJV” can use the information obtained to improve the Lean transformation management process. A great advantage of the created model is the possibility of being adjusted to any type of organization, whose input and output variables can receive other linguistic values. As a future suggestion for research, we have the inclusion of new entries such as VOP (voice of process) or PSP (problem solving).Item Aplicação da lógica fuzzy para tomadas de decisões nos critérios de rateio e distribuição de custos industriais(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-04-11) NOVO, Breno Tello; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798Industries are increasingly specializing in the financial and production sector, aided by general accounting and, especially, cost accounting. Even increasing the degree of complexity of specialized employees, cost accounting in relation to its apportionment criteria is always a challenge. Companies find it very difficult to correctly determine the unit cost of the product or service being offered. And it is precisely at this moment that cost accounting proves to be useful and indispensable. Cost apportionment is one of the branches of industrial accounting and it is a subject that seems to be simple to understand, however, it becomes more complex during your daily practices. This work aims to develop a classification model for decision making based on Fuzzy Logic for diagnosing production performance with a focus on financial improvement based on the optimization of cost apportionment. In this context, the work is justified by pointing out a new perspective of analysis through production and financial indicators implemented in a Fuzzy interference model with the objective of optimizing the apportionment criteria and proposing financial improvements. The Methodological Process of the research was developed in three phases: 1. Identification of Economic and Production Indicators; 2. Modeling of the Fuzzy “Inference” System; 3. Proposed Model Experiment. Each phase consists of three stages until reaching the results obtained from the research. The proposed Fuzzy system was able to show the different performance results when simulated with the different conditions of the input variables and which the projected performance classification could be defined. The model resulted in 576 inference rules for analysis. With a bad EGE, it is difficult to properly monitor production efficiency to a satisfactory degree, but you can maintain a standard production pace due to the good results of other indicators. In this way, the Fuzzy system helps to guide us in which costing method we should adapt the worked product so that it can generate profitability within the industry and better profit margin, allowing a more critical analysis in internal decision-making.