Dissertação PPG.EGPSA

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

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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 Eduardo
The 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.
A utilização de um modelo fuzzy integrado à gestão de estoque em empresas do ramo eletroeletrônico
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-08-02) CARVALHO, Monteiro, Adler Matos; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Inventory management is a practice of fundamental importance for the success of companies in the most varied segments. Companies that operate with low levels of profitability depend on efficient inventory management, under penalty of losing competitiveness. Efficient inventory maintenance is not characterized by the existence of large batches of products for prompt customer service or, on the contrary, by the lack of inventories in an attempt to minimize maintenance costs. Inventories must be managed in a balanced way to ensure an adequate level of service to customers and generate profits. This work aimed to develop a Fuzzy model for stock management of an organization, to reduce the lack of material in stock, resulting from the "lead time". The work is justified by the importance of having a management monitoring the control of inventory costs, which includes the expenses resulting from the lack of items, the costs related to the replacement of the stock, and the expenses of a stopped stock. To accomplish this, it was necessary to map the Material Purchasing Process and thus identify which were the most significant variables in inventory management. The use of Fuzzy Logic, idealized for a model like this, is to reach an inventory level close to zero, immediately before physical replacement, thus minimizing unnecessary costs. Therefore, experimental research aims to manipulate and control the research variables. The application of the developed model shows that the evaluation of Inventory Management through the Need for Replacement of Input and Type of Transport to be used through the fuzzy methodology proved to be viable to assist the desired observations, allowing to understand the impact of each linguistic variable in the research result, pointing out how company X can use the information obtained to improve the structure of its Logistics Process, thus reducing the lack of material in stock due to the lead time.
Análise da demanda de vendas e da capacidade produtiva para determinar a necessidade de mão-de-obra direta
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-05-20) GEMAQUE, Fabrício Mourão; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This study consists of meeting the sales demand using the existing production capacity in an electronic goods industry and thus determining the amount of direct labor (MOD) necessary to meet the needs of customers. Since obtaining the correct number of operators on a production line is extremely important in the pursuit of productivity and cost reduction. Therefore, using concepts such as takt time, cycle time and line efficiency and other information related to the product or products that will be assembled on a production line, it will be possible to quickly and assertively determine the number of operators that must serve directly the client's demand, thus guaranteeing productive efficiency and the correct application of labor resources using as assumptions the capacity and equipment already existing in the production line. Thus, based on the company's sales projection, it will be possible to determine month by month the number of operators, number of shifts and the appropriate volume to be produced to meet the requested demand.
Análise do grau de riscos em projetos de P&Di utilizando lógica fuzzy para identificação de viabilidade técnica
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-08-10) PONTES, Kleber de Lima; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Currently, business structures are increasingly focused on pursuit of continuous improvement in their processes so that organizations can remain competitive in the market, since customers require more and more products or services with high quality levels. With the reference this scenario, this work brings a methodology of analysis of the risk of R&DI (Research, Development and Innovation) projects, using the fuzzy mathematical model, developed in an organization whose core business is the research and development of new technologies. This analysis occurs through the development of linguistic variables (input), with the aim of identifying measure the degree of risk in projects. After the determination of the guidelines to be followed, it was possible to obtain results that demonstrate that the developed fuzzy model can assist in the identification and prioritization of the variables that increase the degree of risk of technologies development projects.
Análise ergonômica do trabalho (AET) em linha de inserção manual de produção industrial no segmento eletroeletronico
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-10) FERNANDES, Raulchelison Tavares; BEZERRA, Roberval Monteiro; http://lattes.cnpq.br/0466572603004690
The ergonomic analysis of work (EAW) has as its principle to identify and try to prevent possible diseases that develop slowly due to repetitive movements, unfavorable postures, furniture without comfort and visual discomfort, causing for the organization the loss of productivity, employee dissatisfaction, and increased costs. The inadequate working environment and furniture can also lead to reduced productivity in companies, because if not adjusted to biotypes can lead to the occurrence of occupational diseases. One of the great challenges of ergonomics applied to work is to design or adapt workstations and tools to the morphological diversity of the population. The accurate analysis of the various segments is done according to the techniques of anthropometry, which is the study of the physical measurements of the human body. This research aimed to "apply the ergonomic analysis of work (EAW) in the production line of a company in the electro-electronic segment to promote improvements in the workplace aiming at the quality of life, well-being, and safety of the employees". In the study methodology, a population survey of the company's biotypes was carried out through anthropometric evaluation; the human body movements were analyzed, with emphasis on the upper limbs, according to the conditions of their workstation; ergonomic concepts were implemented in the production line; the workstations were adapted to the employees; and, finally, the results of productivity were monitored, followed up, and compared after the ergonomic improvements were implemented. To analyze the results of this research, a sampling of 375 employees was carried out with emphasis on the manual insertion production line. The anthropometric analysis showed that there is a difference between male and female biotypes. With the female more concentrated around the mean and the male presenting a larger tail of the distribution. The ergonomic analysis of the work identified the need for adaptation, alteration and changes in the workstations that start in the equipment permeating with the improvement of the posture of the employees that operate in the production lines. After the implementation of the improvements, the ex-post analysis showed that the company's proposed targets for productivity, quality, and absenteeism were met, with averages of 780.2 units/manhour, 281.4 pieces/million, and 1.8%, respectively.
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/8142709905105377
In 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.
Aplicação da metodologia six sigma e método dmaic para redução no índice de perdas de latas de alumínio em uma indústria de bebidas Estudo de caso: latax refrigerantes ltda
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-01) SANTOS, João Felipe Silva dos; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
In the segment of the beverage industry, quality factors are critical for a company, as in addition to being related to consumer safety, due to the ingestion of products by human beings, it is also essential to avoid wasting raw materials. Characterized by low profit margins, maintaining high quality levels directly contributes to the competitiveness and survival of a company in this segment among the competitors. Six Sigma is an internationally recognized tool widely used in the identification and implementation of improvements in internal processes of an organization, aiming to obtain lower operating costs and, consequently, increase profit margins. During the application of this tool, it is necessary to follow a defined sequence of steps and to establish quantified objectives. This study demonstrates how the application of the tool can assist in reducing operational costs by reducing losses of cans in the production process through cause analysis and implementation of action plans in a production line of soft drinks in aluminum cans in a beverage industry. In the application of this study, steps of the DMAIC methodology were followed, where statistics tools were used to DEFINE the problems and identify the improvements, MEASURE during the phases of getting results, ANALYZE the collected data into useful information for decision making, IMPLEMENT the actions proposed in an action plan based on the previous steps and finally CONTROL the processes so that continuous improvement is a living cycle within the institution. The Six Sigma team of this project, applying VOC - Voice of Customer, Snake Diagram and SIPOC methodologies, could interact with internal customers about the soft drink bottling processes in aluminum cans, as well as the other processes that interact among themselves and how this industrialization process isinserted in the context of the organization as a whole. After the full implementation of the actions, the objective was met. In comparison with the previous measured period, the analyzed process reduced the average percentage of can losses from 0,53% to 0,26% after the implemented actions, representing a 49% improvement in the loss rate of the process
Aplicação de ferramentas da gestão da qualidade para redução de scrap em uma indústria de caixa eletrônico no Polo Industrial de Manaus
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-10) RODRIGUES, Suede da Luz; BEZERRA, Roberval Monteiro; http://lattes.cnpq.br/0466572603004690
Due to the globalization that has increased the competitiveness among markets, companies have sought to improve their production processes to reduce waste and production costs. To optimize the processes, the industry has invested in the implementation of advanced technologies and has also sought to apply different quality tools, ranging from traditional tools to more modern methods. Quality tools are means that facilitate the resolution of problems that can interfere with the good performance of a process, product, or service. They enable continuous process improvement and allow organizations to take appropriate action to avoid recurrence of the problem. In addition, applying quality tools to reduce process scrap can bring medium- and long-term benefits to companies, which will reflect in customer satisfaction, and cost reduction due to the rejection of non-conforming materials. The objective of this work was to reduce scrap of financial resources and time through the introduction of robust quality tools applied to the production process in the ATM industry. The research methodology used was the case study, applied in a company in the Industrial Pole of Manaus. The methodological proposals, conceptualization, and the main quality tools used in the industry were presented. The results were analyzed through the use of the following quality tools: Pareto Diagram, Trend Graph, Brainstorming, 5-Why Analysis and 5W2H. The results found point out that the quality tools are effective for the identification of causes and solution of problems related to rejection of materials. The Pareto diagram evidenced that the card reader was the main cause of rejection, and together with 7 other items represented 78% of the rejection costs of 2018 and 2019. Finally, with the application of the 5W2H tool it was possible to implement action plans to solve the problems identified, which generated a significant reduction of 95% of the 2020 rejection costs.
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 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 Cabral
Optimizing 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.
Aplicação do lean seis sigma e método DMAIC para redução da perda de açúcar em uma empresa de refrigerante. Estudo de caso: Grupo Simões
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-11-30) AMARAL, Kelen Farias de; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
The Lean Six Sigma method is the integration between Lean Manufacturing and Six Sigma, two methods that have been adding value to the production processes, generating the best results, because they provide tools to assist in the management of the indicators of the companies that use them. The use of this method in the manufacturing process is a strategic factor for competitive companies, whose focus seeks to meet the customers with a cost appropriate to market requirements, considering that the existing processes related to the manufacture of a finished product have their variability. The objective of this study was to present the application of Lean Six Sigma tools, describe the use of the DMAIC model and demonstrate its application in the syrup production and beverage filling process in one of Simões Group companies, as well as demonstrate the results obtained with the reduction of production cost through the reduction of sugar loss. The technique applied in this study followed the steps of the DMAIC methodology. This project relied on a team that, by applying VOC (Voice of Customer) methodologies, identification of Critical Attributes to Quality (CTQs), Serpent Diagram and SIPOC, was able to collect information from internal customers about the manufacturing processes of simple syrup, final syrup, and the bottling of beverages in PET bottles, as well as others related to the theme. It was possible to determine and quantify the main process waste after the full implementation of the actions proposed by the Six Sigma team, having achieved the objective of this project. When comparing the sugar loss with the previous period measured, the analyzed process reduced the average percentage of losses from 2.02% to 0.07% after the implemented actions. Thus, there was a financial contribution of the project to the company with the average annual production cost reduction on sugar waste of 33% for the company.
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 das barreiras à implementação da Indústria 4.0 no setor de linha branca do Polo Industrial de Manaus utilizando o método DEMATEL
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) ANDRADE, Sheyla Cardoso; RODRIGUEZ, Carlos Manoel Taboada
The current era of technological revolution, known as Industry 4.0, is profoundly transforming economic sectors through the integration of technologies such as artificial intelligence, the Internet of Things (IoT), big data, advanced robotics, and additive manufacturing. This transformation enhances efficiency and innovation capacity in industries but also requires significant investments in technological infrastructure and workforce training. The Manaus Industrial Pole (PIM), one of the main industrial centers in Latin America, faces challenges in adopting Industry 4.0, especially in the white goods sector, a segment of great economic importance to the region. The absence of practices from this new industrial era compromises the region's competitiveness and economic development. To understand these challenges, this study employs a mixed-method approach, combining qualitative and quantitative methods. The research utilizes the DEMATEL (Decision Making Trial and Evaluation Laboratory) tool to analyze the barriers to implementing Industry 4.0 in the white goods sector of PIM. The applied methodology identified the main challenges, such as the lack of technological infrastructure, the need for professional training, and organizational resistance to adopting new technologies. The results showed that these barriers are interconnected and directly influence the feasibility of digital transformation in the local industry. It is concluded that the adoption of Industry 4.0 in the white goods sector of PIM requires comprehensive strategic planning, with public policies focused on innovation, investments in infrastructure, and professional training to ensure the competitiveness and sustainability of the industrial complex.
Barreiras à implementação da logística reversa em indústrias de eletroeletrônicos do polo industrial de Manaus
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-04-10) MADURO, Renata da Silva; RODRIGUEZ, Carlos Manuel Taboada; http://lattes.cnpq.br/5905893327298080
Reverse logistics is a concept that involves managing the reverse flow of products and materials focusing on reuse, recycling and adequate disposal of products at the end of their useful life, aiming to reduce environmental impact and ensure efficiency and sustainable development of products and productive processes. Currently, academic discussion in this regard is increasing and the research carried out offers, for the most part, practical answers for companies in facing obstacles to the implementation of reverse flows and highlights the economic and environmental advantages resulting from this practice. In order to understand the lack of implementation and investments of reverse flows in productive processes, the present work aims to identify the main barriers to its implementation in the electronics industries of the Manaus Industrial Complex. To this end, a systematic review of the literature was carried out, through which we can better understand the state of academic research on this subject and which made it possible to identify a series of barriers, which were categorized, selected and validated by industry experts and academic professionals based on questionnaires. Their responses were compiled creating an overall prioritization of the list of barriers. From then on, the decision making trial and evaluation laboratory method (DEMATEL) was used, which determined which barriers were most impactful based on the opinion of experts in order to obtain the level of relationship that a group of barriers exerts on another group. The purpose of this instrument is to offer for managers and decision makers a conceptual framework for understanding the difficulties of implementing reverse logistics practices in the Manaus Industrial Complex.
Controle online de eletroestática em processos produtivos: monitoramento e gerenciamento das pulseiras eletrostáticas por meio de dashboard
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) FREITAS, Wellison Dias de; VIEIRA JUNIOR, Milton
In the electronics manufacturing industry, controlling static electricity is crucial to ensure product precision and reliability. Static electricity can cause significant damage to sensitive electronic components, leading to product failures and financial losses. This work aimed to establish methods for controlling the operation of anti-static wristbands using Wi-Fi and IoT communication. Specifically, it sought to identify sources of static electricity, minimize or eliminate these sources, evaluate existing control methods, and propose connectivity-based solutions. The research is characterized as applied and qualitative, with an exploratory approach and an action-research method. Data collection was carried out using tracking forms, involving production line workers who use anti-static wristbands. The implementation of the monitoring system aimed to replace manual control with an automated solution, using a transmitter box to send data to a central dashboard, accessible via tablet. Equipment installation included configuring the anti-static wristbands, transmitter boxes, and monitoring system. Preliminary tests ensured connectivity and real-time data transmission. The functionality of the system was validated through tests with RFID and sensors, confirming the effectiveness of continuous wristband monitoring and the ability to detect issues in real-time. The system was compared with previous manual monitoring, showing a significant improvement, with 100% coverage and real-time monitoring, eliminating the need for manual checks and increasing safety and accuracy. Future work should include prolonged assessment of equipment durability, testing in different environments and sectors, exploration of additional technologies, detailed economic analysis, and continued user feedback collection. These suggestions aim to enhance the system and expand knowledge on static electricity control in the industry.
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, Nelson
This 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.
Desenvolvimento de sistema inteligente de manufatura enxuta para gerenciamento e controle da produção do medidor eletrônico.
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-10-20) RAMOS JÚNIOR, Juarez da Silva; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This project presents a viable solution to the problem of communication, integration and control of information in the manufacturing process of the electronic meter, a product that includes an Intelligent System. The aim was to develop an Intelligent System for Lean Manufacturing to support decision-making when using Production Control processes to guarantee product quality and reduce production costs. The advancement of technologies in manufacturing processes aligned with methodologies that enable production efficiency, this project demonstrates a focus on the modernization of factories by using the pillars of industry 4.0 to enable new investment perspectives and fit the company into the process maturity requirements. The software was developed for a company in the Manaus Industrial Estate (PIM). It used Machine Learning, Deep Learning and various methods such as: optimization, bio-inspired, classification and pattern recognition, heuristic, iterative and Newton methods. The results showed that the main development phases were validated, obtaining a computational model applied to production demand forecasting with knowledge generation made available on production and quality dashboards and the Intelligent System with integration via API and development stacks with modern resources (web frameworks), developing with quality metrics: reliability, security, availability and robustness.
Desenvolvimento de um layout de etiquetas seriais para redução de falhas de leitura em códigos de barras
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-12-14) RODRIGUES, Elias; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
With the advent of new technologies and the growing market demand, companies have been seeking ways to improve the efficiency of their productivities processes by introducing innovations through the waste elimination, rework reduction and inconsistency of information due to manual data entry. The objective of this article is to demonstrate that it is possible to mitigate or eliminate stops in the TV production process, caused by difficulty to read barcodes printed on thermal transfer printers, with intelligent and innovative solutions with the support of quality tools. In the search for the resolution of these problems, this work was developed in three chapters. Chapter I begins with an introduction that presents the problem to be treated, the barcodes types adopted in the company, briFigura 2. 1efly mentions the quality tools that were used as support in the search for a solution to the problem, and also the general and specific objectives that were defined by the researchers. Chapter II briefly presents the methodology that was applied to develop this work, the concept of efficiency and effectiveness in the production system, and details the quality tools used (PDCA, Brainstorm, 5 Whys, Ishikawa Diagram, and 5W2H) to find a viable solution to the problem to be handled. It addresses the most commonly used types of barcodes, two-dimensional and linear among others, their structural compositions, the encoding and decoding processes, the verifying digit, and the methods that cover incorrect typing detection. Chapter III presents a solution proposal for the company, based on a vast and detailed analysis of the flowchart of each area involved in the process of printing and using barcode labels, the materials used in the printing process, which information systems are used as well as the layout and method used for printing. The result of this study tends to contribute to other enterprises that have similar barcode printing processes, since its application aims to reduce or eliminate line stops, acting directly on the label layout, demonstrating that disruptive thinking and intelligent change contributes positively to the company's bottom line by improving the flow of information and reducing waste.
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 Cabral
Currently, 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.
Desenvolvimento de uma bancada automatizada de teste de medidores eletrônicos de energia elétrica para aferição da calibração
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-03-27) OLIVEIRA, Gelcimar Ribeiro; MARINELLI FILHO, Nelson; http://lattes.cnpq.br/9077460245811758
This dissertation addresses the entire journey of research and development of an automated bench for calibrating electronic electricity meters (Device) and was conducted within the scope of projects of this class for industries under the jurisdiction of SUFRAMA, in the Industrial Pole of Manaus. In its initial chapters, it established the construction of its foundation in terms of the importance of this theme, as a technological construction research that deserved reporting and publication, its implications, and how this research should be conducted, with all the necessary methodological care while simultaneously meeting the objectives of the contracted research and development project delivery. The application of the New Product Introduction (NPI) concept was crucial in this delivery. The intermediate chapters presented all the steps for the system's construction, highlighting the attention points of its experimental configuration (parameters, variables, and specific logics) and then its extensive work on setting values in the unfolding of the computer program. All these sets, when combined, resulted in a functional system with its three main functional and validated operational components: the RS485 communication network, the communication with the three-phase source, and the entire test circuit of the Device. This is a set of significant results because, besides delivering the expected technological construction, there is a system capable of inferring from comparisons about the possibilities of error in each test, making the decision to repeat or separate the component, all within a fully traceable data management environment capable of fostering the learning of more complex patterns.