Dissertação PPG.EGPSA
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/3
Navegar
51 resultados
Resultados da Pesquisa
Item Sistema integrado para detecção de falhas do processo de montagem de placas utilizando ferramenta de Business Intelligence para maturidade da Indústria 4.0.(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PAIXÃO, Elisete da Silva; CAMPOS, Paola SoutoThe plate assembly process in a company has a target of producing 2000 plates per day; however, 10% of this production presents failures, compromising the management-defined goals. This study aims to implement an intelligent system for identifying and correcting failures in the board assembly process, based on Business Intelligence, aiming at the evolution of Industry 4.0 practices. The methodology included process mapping, analysis of requirements for implementing the integrated system, and evaluation of the system's effectiveness. The integrated system enabled communication between the various systems in the production process, providing more accurate information to improve usability performance and ensure data security. The implementation of this system represented a significant advancement for the evolution of Industry 4.0 practices, providing improvements in quality, efficiency, and cost reduction.Item Aplicação de Tecnologia da Indústria 4.0 na Melhoria dos Processos de Injeção Plástica em uma Empresa no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) FERREIRA, Marcos Sidney Castro; CAMPOS, Paola Souto; LEITE, Jandecy CabralOptimizing lead times ensures that customer deadlines are met, thereby promoting customer satisfaction and loyalty. Additionally, reducing lead time leads to more efficient resource management, directly impacting the reduction of operating costs. This study aimed to implement Industry 4.0 technologies to improve plastic injection processes at a company in the Manaus Industrial Estate (PIM), reducing manufacturing costs, accelerating the lead time for device construction, and optimizing the time for developing new products. The methodology involved data collection on new production processes and the evaluation of the technology's impact on reducing manufacturing costs and improving lead time. This was done by mapping the current process flow, analyzing production loss reports, and examining production performance data. The results show a significant reduction in lead time, from 35 to 9 days. 3D printing also enabled the creation of more complex and precise devices, with less material waste, directly contributing to cost reduction and improved product quality.Item Smart energy: aplicação do sistema fotovoltaico utilizando algoritmos genéticos para tomada de decisão na Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) WASCHINGTON, Adriana Carneiro; SILVA, Simone daThe global energy transition and the need for energy efficiency in industrial environments are driven by the search for sustainability and the reduction of environmental impacts. This work addresses the application of genetic algorithms in the management of photovoltaic systems within the context of Industry 4.0, highlighting the concept of Smart Energy. The main objective is to investigate the benefits and impacts of this approach on energy efficiency, environmental sustainability, and the reduction of operating costs at the Manaus Industrial Estate (PIM). To achieve the objectives, methods based on computer simulation and analysis of real cases were used. The research included the modeling and development of genetic algorithms capable of optimizing variables such as energy generation, storage, and consumption in photovoltaic systems. Data was collected based on local climatic conditions, energy demand profiles, and industrial operating parameters. The results indicated that the genetic algorithms enabled significant gains in energy efficiency, with an average reduction of 20% in energy waste and 15% in operating costs. In addition, the model developed proved to be effective in adapting to climate variations and industrial demands, reducing dependence on non-renewable sources and greenhouse gas emissions. The conclusion is that integrating photovoltaic systems with genetic algorithms is a promising solution for energy management in Industry 4.0, promoting sustainability and industrial competitiveness, especially in regions with high solar incidence like the Amazon. The research highlights the relevance of technological innovation in the transition to a low-carbon economy.Item Transformação digital no Polo Industrial de Manaus (PIM): desenvolvimento e implementação de um sistema de Kanban eletrônico utilizando inteligência artificial para otimização e sequenciamento de produção em uma empresa de fitas do PIM(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ARAÚJO, Lívia Fernanda Lobão de; GUIMARÃES, Gil EduardoThis thesis discusses the development and implementation of an electronic Kanban system integrated with artificial intelligence (AI) to optimize the production sequencing process in a company located in the Industrial Pole of Manaus (PIM). The main objective of this work is to enhance operational efficiency, integrate production processes, and reduce costs through the adoption of Industry 4.0 technologies. The study explores the application of electronic Kanban as an automation tool, integrated with AI, to manage production more efficiently and transparently. The developed system aims to optimize resource allocation and supply chain management, also offering improvements in quality control and process traceability. The results demonstrate the system’s effectiveness in increasing productivity, reducing errors and rework, and enabling real-time adjustments in the production process.Item Indústria 4.0: uma proposta para implementação em uma empresa metal mecânica no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PEREIRA, Danilo Serrão; GUIMARÃES, Gil EduardoThis work presents a proposal for the implementation of Industry 4.0 technologies in a mechanical metal company located in the Industrial Pole of Manaus (PIM). The research addresses the company's maturity level regarding Industry 4.0 using the Impuls questionnaire as the main tool. Through detailed analysis, the key gaps and opportunities for the company's digital transformation are identified, focusing on areas such as automation, data analytics, and system integration. The study proposes a roadmap for the implementation of Industry 4.0 technologies, with specific steps for automating production processes and workforce training. Additionally, challenges such as resistance to change and the shortage of qualified labor are discussed, along with strategies to overcome them. The research concludes that transitioning to Industry 4.0 is essential to enhance the company's competitiveness, promote sustainability, and improve operational efficiency.Item Criação de aplicações para sistema de teste funcional com rastreabilidade para carregadores de celular(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MAUÉS, Elvis Jardim; MARINELLI FILHO, NelsonThis project addresses the growing need to guarantee the traceability and quality of cell phone chargers in a globalized market, where transparency in processes is fundamental. The main objective is to carry out electrical tests with traceability using QR code reading and programming using National Instruments' LabWindows/CVI software. The study begins with the contextualization of the problem, highlighting the importance of traceability to guarantee the quality and reliability of electronic products, such as cell phone chargers. The need to implement methods that speed up the testing process was observed, aiming to maximize production efficiency. The materials and methods used involve the use of LabWindows/CVI software, an ANSI C development environment specific to test and measurement applications. In addition, observations were carried out in the charger testing sector to identify gaps in the process and determine the best strategies to implement traceability. In the proposed process, the first step consists of reading the QR code on the ruler and chargers, organizing them in numerical sequence for recording in a .txt file. Next, the second step performs data collection, performs the necessary electrical tests, and generates a .csv file for local storage, along with an .xml file for recording in the company database. After the first test is completed, each charger undergoes an evaluation to verify if it has passed. If the charger passes the previous test, it is allowed to proceed to the next one. Otherwise, the system blocks further tests until the identified issue is resolved. Results include significant improvement in efficiency of the testing process, ensuring complete traceability of chargers and optimizing equipment production time.Item Desenvolvimento de um protótipo de gateway para coleta e transmissão de dados em sistemas de manuseamento de materiais - Gate Move 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) AMARAL, Carlos Henrique; LEITE, Jandecy CabralCurrently, material handling systems are fundamental in industries such as manufacturing, logistics, and distribution, performing critical functions in the movement, storage, control, and protection of materials throughout production and distribution processes. With the advancement of digital technologies and the emergence of Industry 4.0, there is a growing need for more intelligent and interconnected systems capable of collecting and transmitting real-time data, thus improving operational efficiency and decision-making. The primary objective of this study was to develop a gateway prototype called Gate Move 4.0, designed to efficiently and reliably collect and transmit data in material handling systems. The methodology adopted for the development of Gate Move 4.0 was organized into several stages, including requirements analysis, selection of system architectures and communication protocols, and prototype development and validation. The study results showed that Gate Move 4.0 is a functional prototype, meeting the proposed objectives and demonstrating satisfactory performance under various operating conditions. The key findings include data collection efficiency, connectivity and flexibility, and a positive impact on operational efficiency. Thus, this research contributes to the evolution of these systems towards more intelligent and interconnected operations within the Industry 4.0 context.Item Uma proposta de arquitetura para offloading de dados de robôs móveis autônomos por meio de servidores 5G(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) COSTA, Gledyson Cidade da; TABOADA, Carlos Manoel; LEITE, Jandecy CabralAutonomous mobile robots (AMRs) have made a name for themselves in industry due to their ability to make independent decisions and operate in unpredictable environments, using sensors for precise navigation. This paper proposes a new architecture for offloading the processing of mapping, navigation, and real-time localization data from AMRs, using a private 5G network and peripheral computing. The motivation is to reduce the local computational load of AMRs, improve navigation accuracy, and increase system efficiency. The research was carried out through a non-systematic literature review, simulation development, and full-scale prototyping. The proposal replaces the traditional PLC and PC BOX of AMRs with a Central Control Unit (CCU), transferring processing to the cloud, taking advantage of the low latency and high speed of the 5G network. The main results indicate an improvement in the management and operation of AMRs in complex industrial environments. The proposed architecture provides faster response times and greater scalability, thanks to the 5G network's ability to handle large volumes of data in real time. In addition, integration with the Internet of Things (IoT) allows for more efficient and reliable control, easing the computational burden on AMRs. In short, this architecture offers a flexible and efficient solution for operating AMRs, contributing to greater overall system efficiency and improving scalability and performance in industrial environments.Item Sistema de rastreabilidade no processo produtivo por meio da Indústria 4.0: monitoramento computacional da trajetória da matéria-prima ao produto final(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BARBOZA, Sérgio Lyra; LEITE, Jandecy CabralThe research presents the proposal for an intelligent system with an interactive interface for tracking raw materials in the manufacturing environment. Using technologies made available by Industry 4.0, a system was developed capable of tracking raw materials from arrival at the factory to the final product, helping interested sectors monitor the status of inputs. The specific objectives involve technical software design with requirements specification, prototyping using interface creation tools, UX, UML, and Wireframes, development of software architecture, business classes, communication with databases and data capture devices, configurations on the local server, development of Programmed Application Interfaces, development of the interface manager and their connectivity, data analysis, and presentation of interfaces used. The methodology used was Incremental, where the system is built and implemented gradually in small functional increments. The proposed implementation uses a sensing system for monitoring products with RFID. The physical-technological infrastructure includes RFID tags, thermal label printers, and portals for real-time recognition of raw material, intermediate product, and finished product. The data is collected and processed promptly to be made available to the user through an interactive interface. This study represents a significant contribution to the advancement of manufacturing processes and intelligent management in stock and inventory systems.Item A transformação digital e os avanços tecnológicos na Zona Franca de Manaus: impactos e desafios da implementação da Indústria 4.0 em direção à Sociedade 5.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) VALE, Rosangela Victor do; GUIMARÃES, Gil EduardoThe implementation of Industry 4.0 principles in the Manaus Free Trade Zone represents a significant opportunity to boost industrial competitiveness and sustainable development in the region. By integrating technologies such as the Internet of Things (IoT), big data, artificial intelligence, and automation, local companies can improve their production processes, increase operational efficiency, and reduce costs. However, for this transformation to be effective, continuous investment in workforce training, technological innovation, and digital infrastructure is essential, preparing the region for the challenges of the global economy. The transition to Society 5.0, focusing on creating an economy centered on human needs, offers a promising outlook for the Manaus Free Trade Zone. The combination of advanced technologies with a humanized approach allows the region to not only increase its industrial competitiveness but also contribute to the creation of a more balanced socioeconomic model. This dissertation investigates how the implementation of Industry 4.0 technologies in the Manaus Industrial Hub can facilitate the transition to Society 5.0, promoting industrial efficiency, technological innovation, and improvements in the quality of life of the local population.