Dissertação PPG.EGPSA

URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3

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A Importância da gestão do processo de compras e a comunicação com as demais áreas empresariais integradas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-08-24) CHAVES, Jesus de Alencar; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
In the current context of extreme competitiveness, companies should redirect their efforts to a good service capacity, with a high level of service and the lowest possible total cost. The entire logistics process represents a decisive factor in the company's activity, and the management of purchases in the acquisition of materials and services should be aligned with the strategic objectives of the company as a whole, acting in an integrated manner with the other sectors, in addition to exposing actions guarded by the compliance area to avoid ethical and moral deviations, protecting Corporate Governance. The adequacy of integrity models that meet the rules that comply with current laws has become fundamental in the management of organizations as a strategic way. Therefore, the objective of this study is the implementation of a process model of application of the compliance program and the security of information and data of the company, for this purpose one must identify the main tools necessary for the compliance program and show the application of the compliance mechanism in the organizational scope, that is of fundamental importance for the acceptance of products or services in the market where they operate, as well as business continuity. The study began with the problem that the failure of communication in the company during internal and external changes can negatively affect the company's results and the conduct of employees. For this, the Inductive Method was elected and thus used a strategic tool such as SWOT analysis, a 5W2H activity mapping tool and PDCA action plan. Thus, the present study can be considered exploratory, of an applied and qualitative nature, in two aspects, bibliographic research and case study. The Research will be by observation and comparison with bibliographic research through a sample of facts identified in the company and reports of employees from various departments, of facts already occurred. Data collection was through meeting and interviewing with the professionals of the companies, reporting on the importance of the theme. We sought to know how to improve communication between the purchasing department with the other departments of the company and with the companies that maintain relationships. The results showed the main tools and compliance mechanism, proposing actions that can be used in practice with the purpose of providing a broad view of the operation of the proposed model, with transparency and ethics, thus increasing the competitiveness of the business.
Análise das propriedades mecânicas do concreto com adição de seixo e polietileno tereftalato (PET)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BEZERRA, Antonio Carlos Lapa; ALENCAR, David Barbosa de
The increasing production of plastic waste, particularly Polyethylene Terephthalate (PET), poses a significant environmental challenge due to its long degradation time and negative environmental impact. This study investigates the feasibility of using ground PET as a partial replacement for fine aggregate (sand) in concrete production. Mixtures with 0%, 10%, 30%, and 50% sand replacement by PET were prepared. Tests at 28 days of curing showed that PET addition in certain proportions maintained the required strength and provided environmental benefits, such as reducing natural sand extraction and reusing plastic waste, reinforcing the technical and environmental viability of using recycled PET in concretes.
Aplicação da teoria dos jogos na análise de riscos e decisões no mercado de ações
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BOTTI, Matheus Costa Moreira; ALENCAR, David Barbosa de
The stock market is characterized by its high volatility and the complexity of the interactions between investors, where strategic decisions have significant impacts both on an individual level and on the overall behaviour of the market. Identifying optimal strategies that balance risk and return is a constant challenge, especially in uncertain scenarios. This dissertation investigates the application of game theory to risk analysis and decision-making in the stock market, integrating technical and financial indicators into a model that allows investment strategies to be predicted and optimized. Indicators such as the Relative Strength Index (RSI), MACD, Return on Equity (ROE), EBITDA Margin, and General Liquidity Index were analyzed and combined in payoff matrices to simulate strategic decisions and identify Nash equilibria in different market scenarios. The results indicate that the application of game theory, combined with integrated technical and fundamental analysis, offers an effective tool for identifying investment strategies that balance risk and return. The research demonstrated that it is possible to identify Nash equilibria in different market contexts, providing valuable insights for strategic decision-making. This dissertation advances the understanding of the use of game theory in the stock market and proposes an innovative model applicable both in academia and in professional practice to improve risk analysis and asset allocation.
Aplicação da teoria dos jogos na otimização de processos para redução do tempo construtivo de habitações populares
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Silvia Cristina Matos de; ALENCAR, David Barbosa de
This work aims to apply a model of game theory in the optimization of processes to reduce the construction time of popular housing, demonstrating the management process of the agents involved in the construction context, optimizing collaboration and efficiency. The housing deficit and inadequate living conditions of low-income populations are problems exacerbated by unplanned population growth and lack of urban infrastructure, impacting quality of life. The research developed a model based on game theory to optimize construction processes, allowing the definition of cooperative and non-cooperative strategies among the agents involved. The methodology used was descriptive research with a quantitative approach, applying game models for simulation and decision-making analysis in the civil construction sector. The results proved that the application of game theory helps reduce the construction time of popular housing by encouraging cooperation among stakeholders, making the process more efficient and reducing waste. It is concluded that resource rationalization and the application of strategic incentives can transform competitive situations into opportunities for cooperation, promoting efficiency in the construction sector.
Aplicação da Teoria dos Jogos no Gerenciamento do Contexto das Altas Temperaturas na Cidade de Manaus
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUZA, Amós Ribeiro de; ALENCAR, David Barbosa de
The objective of this study was to develop a model based on game theory to analyze the interactions between different agents involved in managing high temperatures in the city of Manaus. The city faces growing challenges related to increasing temperatures, exacerbated by climate change and unplanned urbanization. In this context, Game Theory emerges as a strategic tool to model interactions between the government, companies, and communities, enabling the identification of collaborative and effective solutions. The research used a quantitative approach with simulations that analyzed strategic scenarios and possible equilibria, considering economic, social, and environmental aspects. The results demonstrated the feasibility of cooperative strategies that minimize climate impacts and guide more sustainable public policies. It is concluded that Game Theory offers an efficient strategy for urban climate management, being applicable both in Manaus and in other urban contexts. The proposed approach not only identified effective strategies but also highlighted the importance of collaboration between different agents to achieve significant results in tackling climate change.
Aplicação de inferência fuzzy para tomada de decisão em processos de SMT: um caso no PIM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) LEITE, Herbety Lima; ALENCAR, David Barbosa de
Surface Mount Technology (SMT) is widely used in the production of electronic components, especially in the Manaus Industrial Pole (PIM), one of the largest electronics production centers in Brazil. However, its complexity and sensitivity to parameter variations, such as temperature and alignment, pose significant challenges to process accuracy and consistency. Traditional control methods, such as PID, often fail to meet the adaptability and efficiency demands required in these scenarios. Fuzzy logic emerges as a promising alternative, providing support in situations of uncertainty and variability. This study developed and implemented a fuzzy inference system for controlling critical parameters in SMT processes at PIM. The methodology involved identifying key variables, such as temperature and pressure, and constructing a fuzzy model based on linguistic rules and expert knowledge. The system was validated through comparative analysis before and after its implementation, evaluating aspects such as production efficiency, rework rate, and final product quality. The application of the fuzzy system resulted in significant improvements in the efficiency of the SMT process. There was a reduction in assembly failures, less need for rework, and greater consistency in production. In addition, the system demonstrated greater adaptability to operational variations compared to traditional control methods, contributing to more sustainable and efficient production. The use of fuzzy inference systems in SMT processes at PIM proved to be an effective approach for optimizing decision-making, improving quality and production efficiency. This research reinforces the role of fuzzy logic as a viable tool for meeting the demands of Industry 4.0, promoting innovations in industrial automation, and contributing to the competitiveness of PIM companies.
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 de
The 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.
Avaliação da intensidade dos campos eletromagnéticos na faixa de frequência 76,0 MHz a 108,0 MHz, associados à operação de estações transmissoras de radiodifusão sonora em frequência modulada, em regiões de floresta tropical
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA, Henrique Camargo da; ALENCAR, David Barbosa de
The International Telecommunication Union (ITU) is the United Nations specialized agency for information and communication technologies. ITU-R P.1546-1 recommendation addresses the point-to-area prediction method for terrestrial services in the frequency range of 30 MHz to 3000 MHz, including Frequency Modulated (FM) Sound Broadcasting Service. In Brazil, this recommendation is used to calculate the field intensity of broadcasting services. However, the experimental data used in ITU-R P.1546-1 were obtained under terrestrial and water propagation conditions, without considering behavior in tropical forest regions. Brazil has about 49.29% of its territory covered by the Amazon rainforest, and it has been argued that electromagnetic wave propagation in forested areas behaves differently than in non-vegetated areas. This study conducts a case study in the Amazon rainforest to determine the field intensity of FM signals in the 76.0 MHz to 108.0 MHz range, comparing the results with the values obtained by Brazilian legislation. The results showed differences in field intensity due to vegetation, indicating that conventional methods may overestimate or underestimate actual values.
Desenvolvimento de um dispositivo portátil para monitoramento de subestações elétricas integrado a plataforma SGE: uma aplicação na indústria 4.0
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SANTOS JUNIOR, Hélio Andrade dos; ALENCAR, David Barbosa de
The dissertation focuses on the development of a portable device for monitoring electrical substations, integrated with the SGE platform, utilizing Industry 4.0 technologies like the Internet of Things (IoT) and real-time data analysis. The primary objective was to create a solution to identify and mitigate energy losses, optimize consumption, and reduce operational costs. To achieve this, the research employed an inference model based on fuzzy logic and developed a real-time process control (RTPC) framework. The device and its monitoring software were validated through field tests in real substations, showing positive results in reducing losses and improving energy efficiency. This work contributes to the modernization of electrical substation management, aligning with sustainability trends and technological advancements in the energy sector.
Estimativa da incerteza de medição nos ensaios de resistência elétrica de fios e cabos elétricos para tensões nominais de até 450/750V
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) CAVALCANTE, Henrique Augusto Mota; ALENCAR, David Barbosa de
The national market for electrical wires and cables faces products of dubious quality, with electrical resistance exceeding normative limits, which may cause fires. This dissertation addresses the importance of ensuring the compliance of these products, focusing on the estimation of measurement uncertainty in electrical resistance tests for wires and cables with nominal voltages up to 450/750V. The "top-down" methodology was applied, using the Ishikawa Diagram, enabling the creation of a mathematical model to calculate combined standard uncertainty. Tests conducted on samples from factories and the market revealed non-conformities, emphasizing the need for improved inspection and measurement processes.
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 de
This 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.
Implantação do programa zero aterro em uma indústria de transformação do PIM – Polo Industrial de Manaus estudo de caso
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-20) LOPES, Antonio Verissimo Noronha; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
This study was carried out in order to seek sustainable alternatives to reduce the disposal of industrial waste to landfills, curbing the disorderly growth of dumps and landfills in large urban centers. Developing, testing and implementing a systematic with a sustainable approach that seeks to reduce the sending of waste to landfills, encourage the reuse of materials and promote recycling, creating an economic cycle and inspiring other companies to adopt similar practices are the main objectives of the case study carried out in a manufacturing industry in Manaus. Based on the principles of the 3Rs (reduce, reuse and recycle), sustainable industrial waste management practices were developed, actions were implemented to reduce the amount of waste generated in the production process, promoting awareness about the importance of reduction at source, established procedures for the reuse of materials, seeking to extend their useful life and minimize disposal and also, recycling programs were implemented, encouraging the transformation of waste into new products or raw materials. The results obtained were promising. The Manaus plant was able to meet the necessary criteria to obtain certification in the Zero Landfill Program. The Manaus plant served as an example of good practices, encouraging other companies to adopt similar measures to reduce their environmental impact.
Implementação de metodologias na inserção automática de componentes para otimização no processo de SMT: aplicando o método DMAIC
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-20) SANTOS, Ivo Amancio; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
This dissertation presents a project developed within a master's thesis in Engineering that was developed in the company AUTOS S/A automotive. Its main objective is to implement the principles that govern lean production, applying improvements using tools and applying methodology that collaborates in studies to identify the root cause of the problem. It was possible with this analysis to define a series of actions analyzing the production processes of the automatic insertion of SMT components (Surface Mount Technology), the need arose to improve the processes in the assembly machines, which resulted in low production, disorganization in the feeders and delay in preparing for changing models. In general, the implemented measures yielded favorable outcomes, resulting in an enhancement of the machines' efficiency for all products. Additionally, there were reductions in Cycle Time, ranging from 7% to 8%, ranging from 32% to 50% in the initial line.
Implementação do controle fuzzy em microgrids fotovoltaicos para a mitigação de interrupções energéticas em comunidades isoladas do Amazonas: conformidade com o regulamento técnico da qualidade do INMETRO (Portaria nº 140/2022)
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SILVA NETO, Oswaldo Wanderley da; ALENCAR, David Barbosa de
Isolated communities in the Amazon region face significant challenges in accessing a reliable and continuous electricity supply due to logistical difficulties and the lack of infrastructure for electricity generation and distribution. As an alternative, photovoltaic microgrids emerge as a potential solution. However, these systems encounter issues such as instability and frequent interruptions due to environmental variability and the complexity of managing local energy resources. This dissertation investigates the implementation of fuzzy control in these photovoltaic microgrids, aiming to reduce energy supply interruptions and promote more efficient and sustainable energy delivery. The study aligns with INMETRO Ordinance No. 140/2022, which approves the Technical Quality Regulation and the Conformity Assessment Requirements for Equipment for Generation, Conditioning, and Storage of Electrical Energy in Photovoltaic Systems. It is set within the context of Industry 4.0, focusing on enhancing energy management. Fuzzy control, due to its ability to handle uncertainties and variabilities inherent in dynamic systems, is implemented to optimize microgrid operations by dynamically adjusting operational variables according to environmental conditions and local energy demand. The study also examines compliance with the guidelines established by INMETRO, demonstrating the technical feasibility and potential benefits of this approach, which include maximizing energy efficiency and the sustainability of deployed systems. The application of fuzzy control in photovoltaic microgrids proves to be a promising solution for addressing energy challenges in remote regions, contributing to sustainable socio-economic development in the Amazon.
Logística Lean aplicado a centros de distribuições: um estudo de caso em um operador logístico nacional
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-02-26) MARIALVES, Luiz Carlos Carmo; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
This dissertation aims to address the application of Lean logistics in the Distribution Center of a Logistics Operator, describing the most appropriate logistical methods, reporting the challenges in the Distribution Center, and analyzing the Lean methodology used by the Logistics Operator. The study has a qualitative scientific basis using books and articles for its preparation and is quantitative by employing a case study. The Lean term was applied to services as a domain rich in logistical concepts, approaches, and techniques, part of the Toyota Production System or adapted from it for different contexts. One of the main objectives of Lean is to eliminate waste from the production process, and the company must seek to develop teams capable of solving exceptional problems. The study showed that Lean processes and control tools improved lead time by 63%, promoting significant gains for the organization. It is concluded that Lean helps organizations maintain their gains, promote improvements, and reduce costs.
Metodologia para avaliação dos riscos ambientais em processos de trabalho no Brasil
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-11-14) BRITO, Rute Franco Frazão; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
The assessment of environmental risks in labor processes plays a crucial role in protecting workers and the environment in Brazil. In order to identify the risks associated with work activities and promote preventive measures, the methodology for assessing environmental risks in work processes becomes essential. The methodology for assessing environmental risks in labor processes in Brazil is based on a multidisciplinary approach that involves professionals from different areas, such as occupational safety engineering, occupational health, environment, and law. Initially, a detailed analysis of the processes and activities carried out in the work environment is carried out, identifying possible environmental risks present. From the application of the methodology, results are obtained that provide a comprehensive view of the environmental risks present in labor processes. The results include the identification and quantification of risks, the analysis of possible effects on workers' health and the environment, as well as the assessment of compliance with relevant regulatory standards. The methodology for assessing environmental risks in labor processes in Brazil plays a fundamental role in promoting occupational health and safety, as well as preserving the environment. Through the careful identification and analysis of risks, it is possible to implement appropriate prevention and control measures, aiming to protect workers and minimize negative environmental impacts.
Modelo de avaliação da qualidade do saneamento básico por sistema de inferência fuzzy
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) NASCIMENTO, Aline Santos do; ALENCAR, David Barbosa de
O debate sobre abastecimento de água e gestão de resíduos é uma questão econômica e ambiental discutida desde as primeiras cidades. Inicialmente, o esgoto era despejado nos rios sem tratamento, mas os avanços científicos levaram a novas soluções. No Brasil, a Lei nº 11.445/2007 regulamenta o saneamento básico, que inclui abastecimento de água, sistemas de esgoto, gestão de resíduos sólidos e drenagem urbana. Investimentos neste setor são essenciais para a saúde pública e o desenvolvimento sustentável, mas muitas pessoas ainda não têm acesso a esses serviços, agravando problemas de saúde e degradação ambiental, segundo a UNICEF (2020). Tecnologias como inteligência artificial e sistemas de inferência fuzzy têm sido aplicadas para otimizar a gestão desses serviços. Este estudo desenvolveu um modelo de inferência fuzzy para avaliar a qualidade dos serviços de saneamento básico. O modelo analisou indicadores como abastecimento de água, sistemas de esgoto e gestão de resíduos, usando a metodologia fuzzy para abordar incertezas e fornecer diagnósticos mais precisos. O processo incluiu fuzzificação de entradas, aplicação de regras de inferência e defuzzificação para transformar os resultados em dados interpretáveis. Os resultados mostraram que a lógica fuzzy é eficaz na identificação de pontos críticos em saneamento, oferecendo soluções para redução de custos e melhoria da eficiência. O modelo é adaptável a diferentes contextos regionais, tornando-o adequado para aplicação em outras localidades. Com essa ferramenta, ações corretivas foram efetivamente direcionadas, contribuindo para a melhoria dos serviços e a universalização do saneamento. Isso apoia o alcance do Objetivo de Desenvolvimento Sustentável (ODS) 6, que visa garantir o acesso universal e sustentável à água e ao saneamento.
Modelo de compostagem com a reutilização de resíduos orgânicos em escola rural
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-11-10) SIMÕES, Natália Cristina Bezerra de Alencar; ALENCAR, David Barbosa de
School institutions are producers of organic waste as a result of the daily consumption of school meals and inadequate disposal has become a problem for the Environment. Given this scenario, the project proposed the reuse of organic substances, avoiding their incorrect disposal. Therefore, the feasibility of the low-cost composting model, reusing material from school meals, generating humus, became viable for the production of fertilizer, enabling the implementation of vegetable gardens in rural schools. The research aimed to develop a composting model for schools through the reuse of organic waste, contributing to the correct disposal of waste from schools and fulfilled the other objectives by conducting a low-cost production of substances humic and mineral nutrients in the creation of gardens; prepare a Manual with guidelines for the correct and sustainable management of composting and the school garden and implement the garden system through the composting process using organic waste from the school. The work was a case study with on-site visits, having as a method the manufacture of composters, the preparation of the school garden, socioeducational lectures and the creation of a manual with instructions for the correct handling of food leftovers. The research results demonstrated the effectiveness and importance of composting for the reuse of organic food and fertilizer in school gardens. The proposed project raised the interest of students and teachers in environmental education at school and in changing their behavior in view of the need to preserve the environment.
Modelo híbrido utilizando holt-winters e rede neural não linear autoregressiva com entradas exógenas (narx) para previsão da velocidade do vento
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-07-27) PARENTE, Ricardo Silva; ALENCAR, David Barbosa de; http://lattes.cnpq.br/4890967546423188
The wind energy matrix is gradually increasing in recent years and its importance for the renewable energy industry is increasingly linked to the benefits in relation to the environment, with this growing energy matrix the research around the wind power generation is also increasing, and one of the strands is the wind speed prediction, because with this it is possible to predict the wind power generation and decrease the error rate in decision making in the industry of electricity generation through wind power matrix. Considering the problem of decision making and the unpredictability of wind speed, this paper aims to develop a hybrid model for wind speed prediction and consequently wind power generation, based on HoltWinters Exponential Smoothing and Nonlinear Auto-Regressive Neural Network with Exogenous Inputs (NARX). In the materials and methods, the database of the SONDA project (System of National Organization of Environmental Data) organized by INPE (National Institute for Space Research) was used, in which it was chosen to use the anemometric data from the station of Brasilia - BRB and Petrolina - PTR, where data from the years February 2005 to March 2019 of the BRB station were used for training, validation and testing, and from January 2006 to December 2015 of the PTR station for simulations of the HW, NARX and proposed model. The results obtained with the proposed hybrid HW-NARX model were compared with the HW and NARX seasonal time series forecasting algorithms, in which the proposed model was able to achieve better performance and predictability results than HW and NARX for the ultra-short-term, medium-term, and long-term time horizons.
Monitoramento dinâmico com Real Time Process Control, uma integração da tecnologia da Indústria 4.0 nos processos de fabricação industrial
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) SOUSA, Marcio Rizonildo Aquino de; ALENCAR, David Barbosa de
The increasing complexity of manufacturing processes in the Industry 4.0 era presents significant challenges, particularly in the real-time verification and diagnosis of machine states. Currently, test stations are limited to displaying the pass or fail status of the cell under test, requiring multiple manual interactions with various tools to identify and resolve issues. This process is time-consuming, inefficient, and prone to errors, negatively impacting operational efficiency and product quality. This dissertation aims to investigate and present the implementation of Real Time Process Control (RTPC) as a solution to these challenges. The proposal involves integrating Industry 4.0 technologies such as the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS) to develop a dynamic monitoring system that allows for immediate and accurate problem identification and resolution. The methods employed include analyzing log results from generated files, calculating Yield and production, and presenting data through an intuitive interface. The research utilized a detailed framework for the implementation of RTPC. The results obtained demonstrate that the implementation of RTPC significantly increased operational efficiency, reduced maintenance costs, and improved product quality, showing reductions in downtime and improvements in productivity, validating the effectiveness of this approach in optimizing industrial manufacturing processes.