Itens

• Anthropometric And Ergonomic Analysis Applied To An Industrial Production Manual Insertion Line In The Electronics Segment
  Background: The principle of ergonomic work analysis is to identify and try to prevent possible illnesses that develop slowly due to repetitive movements, unfavorable postures, uncomfortable furniture and visual discomfort, resulting in loss of productivity for the company, employee dissatisfaction and increased costs. The work environment and unsuitable furniture can also lead to a reduction in productivity in companies, because if it is not adjusted to the biotypes it can lead to the occurrence of work-related illnesses. 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. Accurate analysis of the various segments is carried out using anthropometric techniques, which is the study of the physical measurements of the human body. The aim of this research was to apply ergonomic work analysis to the production line of a company in the electrical and electronics sector in order to promote improvements in the workplace with a view to the quality of life, well-being and safety of employees. Materials and Methods: The study's methodology included a population survey of the company's biotypes by means of an anthropometric assessment; an analysis of the movements of the human body with an emphasis on the upper limbs according to the conditions of their workstation; the implementation of ergonomic concepts on the production line; the adaptation of workstations to employees; and finally the monitoring, follow-up and comparison of productivity results after the implementation of ergonomic improvements. To analyze the results of this research, a sample of 375 employees was carried out, focusing on the manual insertion production line. Results: The anthropometric analysis showed that there is a difference between the male and female biotypes. With females more concentrated around the average and males showing a greater tail of the distribution. After implementing the improvements, the ex-post analysis showed that the targets proposed by the company for productivity, quality and absenteeism were achieved, with averages of 780.2 units/hour, 281.4 pieces/million and 1.8%, respectively. Conclusion: The ergonomic work analysis identified the need to adapt, alter and change the company's workstations, starting with the equipment and extending to the posture of the employees working on the production lines. The combination of anthropometry and ergonomic analysis was the fundamental basis for innovation in the sectors, jobs, production process and work routine.
• Analysis Of Energy Efficiency And Environmental Impacts With The New Inverter Air Conditioning Technology
  Air conditioning systems are known for their high energy consumption and the environmental impacts they can cause, especially with regard to greenhouse gas emissions. However, inverter air conditioning systems are a more advanced technology that can offer significant improvements in terms of energy efficiency and reduced environmental impacts. Inverter air conditioning systems use a variable speed compressor, which allows the unit to adjust the compressor speed to meet cooling or heating needs. This means that the compressor does not have to switch on and off continuously, which reduces energy consumption and increases system life. In addition, inverter air conditioning systems are designed to operate more quietly and produce less noise than conventional systems. In Brazil, where demand for air conditioning systems is high, the use of inverter air conditioning systems can have a significant impact on reducing energy consumption and greenhouse gas emissions. In addition, Brazilian authorities have implemented measures to encourage the adoption of energyefficient technologies, including energy efficiency labeling programs to help consumers identify the most efficient appliances. However, it is important to remember that the energy efficiency of an inverter air conditioning system depends on its proper installation and maintenance. It is necessary that the system be sized correctly for the space in which it will be installed and that a regular maintenance program be carried out to ensure that the system is operating efficiently. In summary, the use of inverter air conditioning systems in Brazil can offer significant benefits in terms of energy efficiency and reduced environmental impacts, especially when combined with government incentive measures and proper installation and maintenance practices. It is with these first fruits that this project will explore the need for technological changes for refrigeration systems, proving their efficiency both in terms of energy and the environment.
• Basic Sanitation: Environmental impacts caused by the sewage dump in Rio Negro River (Amazonas-Brazil)
  O crescimento desorganizado dos centros urbanos, somado à falta de políticas públicas e investimentos direcionados, causam danos irreparáveis no meio ambiente como um todo e na saúde das populações devido às falhas no sistema de saneamento básico. Objetivou-se avaliar os impactos causados pelo despejo de efluentes não tratados no rio Negro; proceder a análises microbiológicas de amostras de água de vários pontos da orla de Manaus, bem como de igarapés (pequenos afluentes do Rio Negro), a fim de avaliar a saúde desses corpos hídricos, e o avanço de sua poluição atualmente, comparando os resultados obtidos com os limites permitidos na legislação vigente; analisar a possibilidade do despejo de águas residuais não tratadas diretamente no rio Negro, principalmente do uso do emissário subfluvial, sob a ótica de o referido possuir suposta capacidade de autopurificação. Outra meta deste estudo é propor a atualização do Plano Municipal de Saneamento Básico da cidade de Manaus, principalmente no que diz respeito ao estabelecimento de prazo máximo para que se atinja uma porcentagem satisfatória no acesso da população à coleta e tratamento de esgoto na rede municipal. Para tanto, foram coletadas amostras de água de cinco pontos da cidade e realizadas análises de caracterização microbiológica. Foi possível depreender com os resultados, que é evidente a poluição nos igarapés na orla de Manaus, considerando que em todos os cinco pontos avaliados foi constatada a presença de microrganismos prejudiciais à saúde humana, muito em razão do recebimento de despejo desordenado de efluentes.
• Manufacturing Outsourcing As A Strategy For Increasing Production Capacity And Reducing Production Costs
  This work addresses the increasing demand for smartphones in the electronics industry and the need for manufacturing expansion to keep up with this growth. Smartphones have become an integral part of society's routine, both for personal use and as a work tool. To meet this demand, outsourcing has been widely adopted as a strategy, aiming for cost optimization and improvements in business process efficiency. Several studies have analyzed the factors influencing the outsourcing decision, such as the degree of product or process standardization, the costs involved, and the correlation between companies and services provided. The article proposes an empirical outsourcing model for manufacturing in an electronics devices industry located in one of Brazil’s Industrial Hub, aiming to increase production capacity and reduce costs. The research seeks to contributeto studies on outsourcing as a business alternative and provides a model for business managers and researchers exploring this topic. The feasibility study and introduction of outsourcing are conducted through the action research method. The action research process is illustrated in main six stages: planning, data gathering, data analysis and action planning, implementation of actions, evaluation of results and report, and finally, continuous monitoring, which occurs simultaneously with the other activities in the cycle. In this paper, the proposed action research is applied in three main stages: searching for concepts, building an empirical methodology based on the specific needs of the company in question for outsourcing implementation, and implementing it in a real practical case, resulting in the evaluation of the outcomes and decision-making regarding the capacity of the contracted company to produce the products of the contracting company. The construction of an evaluation model for companies aiming to implement outsourcing, starting from the selection of possible third-party companies, evaluation criteria based on the needs of the contracting company, set-up of the production process in the chosen company, validation of the third process, and continuous monitoring of this new implemented process. This study serves as a model for companies seeking to apply outsourcing not only to peripheral areas but also to core activities, providing an alternative for business expansion and operational cost reduction
• Education and Sustainability in the Curriculum of the Technical Course in Buildings: Implementation and Challenges
  Increasingly, humanity has established a predatory relationship with nature due to the consumerist and capitalist model of production. As a result of this lifestyle, humanity is rapidly approaching a scenario of environmental disaster. Teaching and learning how to take care of the world, how to care for the collective, how to reduce, recycle, and reuse should be themes addressed in schools in a relevant and effective way. This would not only raise awareness among students, but also among the entire faculty of educational institutions, the professionals who work in them, the community, society, and the world. Only through education will we be able to cultivate behaviors and habits consistent with sustainability. To achieve this, the curriculum needs to be restructured, allowing for an integrated approach to incorporate sustainability concepts and sustainable development with school knowledge and experiences. Considering that the disciplines of the Pedagogical Project Course (PPC) of the Integrated Technical Course in Buildings do not currently include the theme of sustainability, this work aims to identify and propose the inclusion of teaching sustainability concepts and sustainable development in the syllabi of technical courses in the integrated modality in buildings within the civil construction area of the Federal Institute of Amazonas (IFAM).
• Analysis of Civil Construction Waste Management in the City of Manaus, From the Perspective of Sustainability
  Na cidade de Manaus, os problemas ambientais, principalmente aqueles relacionados à construção civil, não são diferentes do resto do Brasil. O período da borracha no final do século XIX e a implantação da Zona Franca na década de 1960, foram responsáveis pela crescente migração populacional, impulsionando o crescimento da Indústria da Construção Civil, bem como a geração de seus resíduos. Portanto, o objetivo deste trabalho, é demonstrar o atual cenário do gerenciamento dos resíduos da construção civil na Cidade de Manaus, sob a perspectiva da sustentabilidade, a partir de dados coletados em órgãos da administração pública, através de bibliografias e nos nos canteiros de obras, verificando-se a atual situação da destinação final dos RCC, e quais as práticas de sustentabilidade adotadas, visando a indicação da fragilidades do gerenciamento de RCC e elaboração de uma cartilha com as principais informações coletadas, de forma a orientar as melhores práticas para a tomada de decisão da administração pública quanto ao atendimento da Resolução nº 307 do CONAMA e Lei 12.305/2010 (Política Nacional de Resíduos Sólidos -PNRS).
• Implementation Of The Zero Landfill Program In A Transformation Industry At PIM- Industrial Pole Of Manaus
  Background: This study was carried out with the objective of analyzing the feasibility of implementing the Landfill Program in a manufacturing industry located in the Industrial Pole of Manaus (PIM). The PIM is a major industrial region and presents a significant challenge with regard to waste management. In this context, the Zero Landfill Program emerges as 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. Materials and methods: To achieve the proposed objectives, a case study was carried out in the manufacturing industry of 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 of the importance of reducing at source. In addition, procedures have been established for the reuse of materials whenever possible, seeking to extend their useful life cycle and minimize disposal. Recycling programs were also implemented, encouraging the transformation of waste into new products or raw materials. Results: The results obtained were promising. The Manaus plant was able to meet the necessary criteria to obtain certification in the Zero Landfill Program. This means that the company was able to significantly reduce the amount of waste sent to landfills, keeping this value below 1% of the total waste generated in the production process. In addition, the factory was able to take advantage of and recycle at least 3% of the waste, transforming it into energy through appropriate processes. Conclusion: Based on the results obtained in this study, it is possible to conclude that the implementation of the Landfill Program in a transformation industry in the Industrial Pole of Manaus is feasible and brings significant benefits in terms of environmental sustainability. The Manaus factory served as an example of good practices, encouraging other companies to adopt similar measures to reduce their environmental impact. However, for a deeper understanding of the subject, future studies are recommended. These studies may include expanding the analysis to other industries and regions, in order to verify the applicability of the Landfill Program in different contexts. In addition, it is important to carry out cost-benefit analyzes to assess the economic viability of these sustainable practices, as well as more comprehensive environmental impact assessments. It would also be interesting to investigate the perception of employees and the local community regarding the implemented changes, seeking to obtain valuable feedback.
• Implementation Of Methodologies In The Automatic Insertion Of Components For Optimization In The SMT Process: Applying The DMAIC Method
  Background: The automatic insertion of SMT components is a process used in the electronics industry that has faced challenges related to the disorganization of assembly machines. This results in low productivity, disorganized feeders and delays in getting ready to change models. In this context, this study aims to implement lean production principles to improve the assembly process and identify the root causes of existing problems. Materials and methods: In this study, lean production tools and methodologies were applied to analyze and improve the process of automatic insertion of SMT components. Data were collected on the different models and configurations used, in addition to information on the particularities of the process. The analysis was performed using graphs and tables to present the results obtained. Results: The results required by the application of lean production methodologies brought significant improvements to the process of automatic insertion of SMT components. It was possible to identify and solve the root causes of problems related to disorganization of assembly machines. Comparative data across different models and configurations provides valuable insights to improve process efficiency and productivity. Conclusion: Based on the results obtained, it can be concluded that the application of lean production tools and methodologies is effective in improving the process of automatic insertion of SMT components. The identification of the root causes of the problems and the implementation of improvement proposals resulted in greater organization, increased productivity and reduced preparation times for changing models. These results indicate that the methodologies used in this study can be replicated in other areas of the industry to obtain similar improvements
• Estimation Of The Unitary Cost Of The Square Meter Popular Housing In The City Of Manaus Based On The Most Important Inputs, Using Artificial Neural Networks
  Abstract: Civil construction is one of the most expressive sectors in the economy, development and employability in the national territory. It is considered one of the branches that demonstrates the expansion and wealth of a country, where social housing is directly linked to socioeconomic development. According to the IBGE, in 2020, Manaus had 653,618 homes, of which 348,618 are classified as subnormal agglomerations, that is, stilt houses and unhealthy occupations and/or difficult to access. It can be said that one of the major obstacles to the construction of low-income housing is the lack of predictability of the behavior of costs during the execution of the work. This factor is even more pronounced in subdivisions and housing complexes, that is, in mass production, due to quantity. In order to mitigate these challenges, a tool was developed, based on the concepts of RNA -Artificial Neural Network, which compiles 2 civil construction price databases and predicts the cost of popular housing based on the value of the main inputs. This network seeks to estimate the cost per square meter of construction of popular housing in the city of Manaus. MATLAB® software was used, where data from the CUB and INCC databases were compiled. The inputs used were those contained in the so-called “basic batch”, recommended by the CUB. Quickly and practically without cost, the developed tool can predict the price of the square meter of popular housing, in the city of Manaus, from the stipulation of the inputs. RNA was able to present a very strong correlation in the sources of its sample space, thus demonstrating that the databases, despite presenting different data collection and treatment, in addition to being elaborated by different institutes, present compatibility in their databases, which is reflected in the veracity and reliability of the data collected and processed. After estimating several statistical indices, it is clearly noted that this is a tool that has proven to be efficient and safe for estimating future costs. Background: The final cost of a work is one of the determining factors for carrying it out, especially in the more popular classes, where money is scarcer and any financial estimation errors can make the completion of the building unfeasible. In Brazilian territory, there are databases that predict the cost for the present, but none that estimate the cost for the future. This study develops an RNA to simulate the future value of a popular building in the city of Manaus. Materials and Methods: In this study, two databases were used as a national recognition database: the CUB and the INCC. The reference values were extracted from the databases, in monthly cadence, during the period from July 2009 to May 2022, to obtain an arithmetic medium for each item, thus allowing RNA simulation to predict the value of the square meter of the house. Results: Values for: MSE, NRMSE, MAPE, SER, MAE, RMSE, Medium Percent Error, and Pearson Correlation. All show adequate and correlated results. However, it can be stated that the most expressive result was the MSE, which was 91.14%, characterizing a well-adjusted RNA. Conclusion: The correlation between the data in the two databases was 91.14%, enabling the simulation of an artificial neural network with data from different sources and good accuracy.
• FUZZY Methodology Applied IN THE EVALUATION OF THE QUALITY Of Hospital SERVICES. Case Study IN A HOSPITAL In Amazonas
  Background: There is currently an important challenge for hospital companies, which is to offer their services with the highest quality to their customers. And meeting this demand requires more efforts from public or private organizations to provide quality services offered to customers who are more demanding and interested not only in cost, but in the quality of the product or service offered. Therefore, if you guarantee in the market, you have an unknown, to evaluate the quality of services to monitor the quality of service according to the expectations of your customers, thereby creating competitive advantages. In this context, the private hospital in Manaus is with an interest in measuring its quality, placing itself as an object of study, in order to know: the quality of the services offered by the Hospital in the view of the clients, identifying the relevant positive and negative aspects for that the Hospital can act more precisely on the points that allow it to achieve excellence in customer service and acquire more competitiveness. Materials and Methods: This reality dictates the need to create effective methods to meet the demand for quality in hospital services. In response, the purpose of this study arises to create a quality assessment model using the Fuzzy inference system, based on the studies by Parasuraman, Zeithaml and Berry, in 1994, who developed the SERVQUAL scale, an efficient instrument to assess the quality of services with evaluative diagnosis of quality that are important and followed until today. Results: For this, a model was developed to evaluate the quality of private hospital services in Manaus. The questionnaire was used as data collection techniques, as determined by the SERVQUAL scale, which generated variables that were used for Fuzzy Inference in the Matlab R16 Student software. Conclusion: The results made it possible to evaluate the quality of customer service, which reached an index of 82.7%, thus identifying the level of customer satisfaction, highlighting the negative points, essential information for managers to implement appropriate improvements.
• Mobile technology to optimize the operational control of the entry of national goods in the areas administered by suframa: vistoria 4.0
  A Zona Franca de Manaus (ZFM) é uma área com incentivos fiscais e parafiscais criada para estimular o desenvolvimento econômico na região Amazônica. Em 2021, a região recebeu mais de 53 bilhões de reais em mercadorias (SUFRAMA, 2022), o que, juntamente com sua vasta extensão territorial e infraestrutura precária, apresenta desafios logísticos que dificultam a fiscalização e tornam a região propensa a fraudes fiscais, como o desvio de mercadorias e o uso indevido de incentivos fiscais. Essas práticas ilegais prejudicam a economia local e nacional e podem prejudicar a imagem da autarquia. O projeto é composto por três pilares: comercial, agropecuário e industrial (REY e JÚNIOR, 2019). Com isso em mente, este trabalho propõe um aplicativo que utiliza tecnologias de informação para aumentar a eficiência e segurança do processo de fiscalização de mercadorias. Dividiu-se os trabalhos em três etapas: Elicitação dos requisitos; Elaboração do protótipo; Levantamento dos pontos de função e estudo de viabilidade e o aplicativo utilizará tecnologias embarcadas, como a Optical Character Recognition (OCR) e a Geolocalização, permitindo que os próprios destinatários das mercadorias realizem o procedimento de vistoria física de forma segura. Foram elicitados os requisitos funcionais e não funcionais do aplicativo e as telas das interfaces foram elaboradas no software FIGMA. Também foi realizada uma análise do potencial ganho de produtividade do controle de mercadorias, onde foi verificado que apenas com medicamentos e veículos, foi possível aumentar a produtividade quantitativa das vistorias físicas em 7,5%, passando dos atuais 2,5% definidos como meta institucional para quase 10% do total dos valores das notas fiscais registradas na autarquia. Além de melhorar a eficiência do processo de fiscalização na ZFM, o aplicativo alcançará 100% da área de controle cobrindo todos os 157 municípios incentivados da região. Atualmente, apenas 11 cidades têm sedes administrativas e vistorias físicas (Suframa, 2022). Foi constatado que o baixo investimento necessário para o desenvolvimento do aplicativo, em comparação com a contratação de servidores para realizar o mesmo número de vistorias físicas, é vantajoso pela sua economicidade. A utilização de tecnologias da informação para fortalecer o controle de entrada de mercadorias é uma opção econômica, prática e sustentável que pode fortalecer o processo de fiscalização e minimizar os riscos de fraude.
• Supply Flow Logistics Management Model In The Baking Automation Sector At A Company In Manaus Free Trade Zone
  Background: This article deals with logistics and supply management, a strategic area for companies in today's highly competitive environment. The research targeted a company from the Manaus Free Trade Zone, Amazonas, having as a starting point the finding that there is a logistical bottleneck, with rising supply costs, making material planning even more critical for ensuring an optimal level of production with adequate control of the costs involved. Based on this problem, the following guiding question of the research was elaborated: which “make to-order” process can be more suitable for company “X”, allowing it to balance costs with freight and stock, and at the same time serve the customer on the promised date? Thus, the general objective of the research was defined to propose a logistic management model that allows the optimization of the supply flow in the automation sector of a company in the Industrial Pole of Manaus, based on the cost of stock, time for the acquisition of raw material and the cost of transportation to the plant, with the following specific objectives: to describe the deficiencies of the current logistics management system in the automation sector of company “X”; propose a new management model, focusing on a point of balance between acquisition costs, transport of inputs to the industrial plant in Manaus and storage, and demonstrate how the proposed method can result in competitive improvements for this organization. Materials and Methods: This research was motivated by the need to solve a specific problem, aiming to propose a new management model to contribute to the improvement of practices related to supply logistics, focusing on the scenario of that company where the current model incurs with the current cost of freight due to the difficulties imposed by the business model Make to Order, where purchases of raw materials are only triggered when the company receives the order and this implies logistical difficulties imposed by the company's location. Results: Conclusion: The realization of this work allowed, through a case study, to gather enough information to analyze the current situation of a company in the banking automation branch of a company located in the Manaus Free Trade Zone, arriving at a way to minimize costs by doing if the material was available at other company plants in Budapest, Hungary or Chennai, India. With the implementation of these Hubs, the company would be able to serve the customer in less time and at a lower cost.
• Development of a New Layout for Serial Labels to Reduce Interruptions in TV Lines Caused by Difficulty Reading Barcodes
  Com o advento de novas tecnologias e a crescente demanda do mercado, as empresas vêm buscando formas de melhorar a eficiência dos seus processos de produção introduzido inovações a partir da eliminação de desperdícios, redução de retrabalho e incongruência de informações devido entrada de dados manuais. O objetivo deste artigo é demonstrar que é possível mitigar ou eliminar paradas no processo de produção de Televisores, causados por dificuldade na leitura dos códigos de barras impressos em impressora de transferência térmica, com soluções inteligentes e inovadoras tendo como apoio as ferramentas da qualidade. Na busca da resolução desses problemas, este trabalho foi desenvolvido em três capítulos. O Capítulo I começa com uma introdução que apresenta a problemática a ser tratada, quais os tipos de códigos de barras adotado na empresa, aborda as ferramentas da qualidade que foram utilizadas como apoio na busca da solução do problema e ainda o objetivo geral e os específicos que foram definidos pelos pesquisadores. O Capítulo II apresenta de forma breve a metodologia que foi aplicada para o desenvolvimento deste trabalho, o conceito de eficiência e a eficácia no sistema de produção, detalha as ferramentas da qualidade utilizadas (PDCA, Brainstorming, 5 Porquês, Diagrama de Ishikawa, 5W2H) para encontrar uma solução viável para o problema a ser tratado. Aborda os tipos de códigos de barras mais utilizados, bidimensional e linear entre outros, suas composições estruturais, os processos de codificação e decodificação, o dígito verificador e os métodos que cobrem a detecção digitação incorreta. O Capítulo III apresenta uma proposta de solução para a empresa, tendo como base uma vasta detalhada análise do fluxograma de cada área envolvida no processo de impressão e utilização das etiquetas com código de barras, os materiais utilizados no processo de impressão, quais sistemas de informação são utilizados assim como o layout e o método utilizado para a impressão. O resultado desse estudo tende a contribuir com os demais empreendimentos que possuem processos similares de impressão de códigos de barras, uma vez que sua aplicação tem como objetivo reduzir ou eliminar paradas de linha, atuando diretamente nas falhas dos códigos de barras que tanto causam as paradas de linha, demonstrando que o pensamento disruptivo associado a uma mudança inteligente contribui positivamente para com o resultado da empresa melhorando o fluxo do processo e de informações, contribuindo com o aumento da eficiência e a redução de retrabalhos.
• Use of chirps satellite precipitation in the characterization of the franceses stream Basin, Manaus - State of Amazonas - Brazil
  The city of Manaus has numerous waterways in its urban perimeter, and, despite this, there is a shortage of measures aimed at protecting water resources that has generated occupations very close to the riverbeds. This work aims to characterize a watershed in an urban area of Manaus and map the areas subject to flooding around the Franceses Stream. The methodology applied involved obtaining topographic and thematic information such as morphology, geographical location, elevations, extent, area, level curves (water dividers) of the basin, obtained through georeferenced satellite images in a GIS environment.In addition, monthly satellite precipitation via the CHIRPS product was used for the calculations. The physical characteristics of the basin were determined using equations employed in hydrology. The results indicated that the Franceses Stream basin is not subject to major flooding, presenting the following characteristics: compactness coefficient Kc = 5.71; form factor Kf = 0.36; circularity index Ic = 0.03; drainage density Dd = 0.94km-1 . It was also found that, despite the intense occupation, there is preserved vegetation within the basin. It was concluded that the precipitation estimated by CHIRPS is efficient because it has a larger coverage, and that knowing the characteristics of watersheds in urban environments is of great importance to subsidize intervention measures and planning policies that ensure the protection of water resources and minimize inconvenience to the population. It was also found that the use of GIS is an important tool for analyzing information in hydrological studies, and that it needs to become an increasingly applied tool in urban management, so that the knowledge obtained can be used to obtain better environmental and social conditions.
• Application of Quality Management Tools to Reduce Costs with Scrap in the Automated Teller Machine Industry
  Background: Globalization has increased competitiveness among markets and consequently, companies have sought to optimize their production processes to reduce scrap and production costs through the implementation of advanced technologies and quality tools. The quality tools facilitate the resolution of problems that interfere with the good performance of the process, product, or service and enable the continuous improvement of the processes, contributing to the scrap reduction and increasing customer satisfaction and reducing the costs of non-conforming materials. The objective of this study is to reduce financial losses associated with scrap generation through the introduction of quality tools applied to the production process in the automated teller machine industry. Materials and Methods: The research methodology used was the case study applied in company of Manaus Trade Zone. A literature review was conducted regarding the most relevant quality tools to solve problems used currently in the industry. Process mapping (flow chart) and brainstorming were used to identify the bottlenecks that prevent the scrap reduction. Furthermore, pareto Diagram, trend Graph, scatter diagram, 5 Whys Analysis and 5W2H were employed in this study. Results: Through the Pareto diagram it was possible to identify the card reader was the main cause of rejection, and along with 7 other items accounted for 78% of the 2018 and 2019 rejection costs. By using the 5W2H tool, it was possible to implement action plans to solve the problems identified, which generated a significant reduction of the rejection costs raised in 2020. Conclusion: The results pointed out that the quality tools are effective for identifying causes and solving problems related to scrap. From 2018 to 2020 the reduction was 95% and continued consistently in 2021, showing that the problem had been consistently solved.
• PNEU INSERVÍVEL: DE RESÍDUO A MATÉRIA-PRIMA SECUNDÁRIA PARA PROCESSOS INDUSTRIAIS CONFORME A LEGISLAÇÃO BRASILEIRA
  São crescentes os interesses, políticos, ambientais, econômicos e sociais para tratar de temas ambientais, incluindo o tratamento de resíduos sólidos, mais especificamente os pneus inservíveis. Muito tem sido discutido em conferências, periódicos científicos e outros meios, mas ainda há grande oportunidade para novas pesquisas e soluções. Este artigo buscar e conhecer o uso de resíduos de pneus inservíveis como matéria-prima secundária para processos industriais, de acordo com a legislação brasileira. Trata-se de uma revisão exploratória, ancorada na pesquisa bibliográfica e documental, fundamentada em artigos, publicações científicas relevantes e em documentos oficiais que tratam dos resíduos sólidos no Brasil, além de relatórios estatísticos de instituições, associações e empresas que tratam sobre o tema. Os resultados encontrados revelam que os pneus inservíveis têm sido usados como matéria-prima secundária em processos industriais, por meio de diferentes alternativas de destinação na industrialização de novos produtos, cujos processos industriais utilizam-se da trituração, reforma, granulação, regeneração da borracha ou desvulcanização, coprocessamento, laminação e pirólise; como é o caso de empresas de industrialização do xisto e das empresas que utilizam pneus inservíveis na confecção de artefatos de borracha, na construção civil e pavimentação asfáltica.O estudo conclui que a legislação brasileira, principalmente a Política Nacional de Resíduos Sólidos (PNRS) por meio da logística reversa, possibilita o uso de resíduos de pneus inservíveis como matéria-prima secundária em processos industriais de outros produtos, contribuindo com a diminuição dos impactos negativos socioambientais e problemas de saúde pública causados pelo descarte inadequado desses resíduos.
• RAIN PREDICTION MODEL USING ARTIFICIAL NEURAL NETWORKS
  Precipitation is important in maintaining the environment and life of living beings. Through their studies and increasingly accurate forecasts, we can reduce the impacts related to floods, environmental disasters, and losses in the agricultural and tourism sectors. However, climate change has made the analysis of this variable difficult. In this article we will present an hourly rain forecast model using Artificial Neural Networks, using the information on instantaneous, maximum and minimum temperature, relative humidity, wind, and precipitation through the automatic weather stations of the Instituto Nacional de Meteorologia, located in the city from Manaus/AM. First, a study was carried out to determine the network architecture best suited to the data set. Numerous combinations between the training and transfer functions were performed until finding the functions that presented the best error values. The predictions made with the model showed satisfactory results, showing that the model was able to reproduce the same behavior of the precipitation observed for the predicted day, presenting practically the same totals, especially on the rainiest days. On the other hand, in cases where the observed showed a characteristic of convective precipitation, the model was not able to capture the intensity, which shows that it must be tested with other atmospheric variables.
• APPLICATION OF FUZZY LOGIC FOR DECISION-MAKING IN THE CRITERIA FOR ALLOCATION AND DISTRIBUTION OF INDUSTRIAL COSTS.
  Background: Industries 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. Materials and Methods: 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. Results: The model resulted in 576 inference rules for analysis. In one of these analyses, I specify analysis 291 according to table 8 of this article, considering the indicator of Overall Labor Effectiveness “Good”, Overall Equipment Effectiveness “Bad”, Contribution Margin “Good”, Breakeven Point “Good” and Liquidity Current “Good”, the performance of the product is considered “Medium”. 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. Conclusion: In this way, the Fuzzy system helps to guide us in which costing method we should adjust 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.
• OPTIMIZATION OF THE MANUAL INSERTION PROCESS OF ELECTRIC MOTOR WINDERS USING LEAN MANUFACTURING TECHNIQUES
  Background: During the development of the manual insertion analysis, it was possible to identify losses in the process, after using lean tools and data collection, gaps in the line balancing, due to low performance and desaturation in the insertion process. Materials and Methods: Software (Auto card Simulation); Polyester Tapes; Steel plates S72; Conductor wires (Copper and Aluminum); Transfer Tweezers; Digital caliper; Ohmmeter; Continuity Test. Methods: Preparation of the area considering situations that should be in accordance with the standard, including: the installation and layout of machinery and equipment that employees handle during the execution of tasks, for excução and implementation of new layout was used Simulation Auto card, given the safety standards applied to NR-12, such as escape route and standards in force, spacing area for transit of operator and equipment. Results: Some of the operations in its production process are: Operating mainly in the capital goods sector with solutions in electrical machinery, automation and paints, for various sectors, including infrastructure, steelmaking, pulp and paper, oil and gas, mining, among many others. The Organization stands out in innovation by constantly developing solutions to meet the major trends in energy efficiency, renewable energy and electric mobility. With industrial operations in 19 countries and commercial presence in over 38 countries. Implementation of process and improvement programs, among other Kaizen programs. Within the company, the Productivity Kaizen project in the Plant's winding and manual inserting centers was developed in the Manual Inserting Work Center in Brazil, Manaus. The company decided to start implementation on desaturation loss reduction in the winding and manual inserting work centers in Factory I, it is proposed to unify the winding, manual inserting and insulating material preparation work centers. Conclusion:This research aims to present through the application of the lean manufacturing tool, integrated with computer simulation, the various options for improvement and loss reduction that a manufacturing process can obtain. This result was achieved through the use of several tools that allowed the positive simulation. From the tools such as the spaghetti graph, a simulation was generated that allowed it to be used as a model for other areas of the Organization, with Global highlight of other Sites of the company, with recognition by the board of the head office. Global Perspectives for Production Engineering Manaus, AM, Brazil, the results achieved ensured a 30% average reduction in handling time, this change will bring positive impacts such as - Ergonomics: decrease in the paths, providing more safety and faster transitions. Organization: a planned physical arrangement facilitates access to machines and makes the environment visually more pleasant. Inventory: stocks, both final and in-process, can be reduced due to a shorter production lead time. In relation to what was presented, it can be concluded that the proposed change of the new layout brought to the planning a powerful tool that enables companies to visualize the results before investing time and resources in it.
• IMPLEMENTATION OF SMED METHODOLOGY TO REDUCE THE SETUP TIME IN A SMT PRODUCTION LINE
  The overall objective is to implement the Single Minute Exchange of Die (SMED) methodology to reduce the setup time (model change) in an electronics factory in Brazil. The research was carried out in the premises of a company in the electronics segment, located in the Industrial Pole of Manaus (PIM), with the cause and effects diagram it was verified that machines, labor, method and material are the main causes for the high setup time. The initial SMED action plan defines eleven actions related to machines, labor and method in order to reduce the line setup time. The application of the SMED method was implemented based on the original method presented by Shigeo Shingo (1985). The study has three stages, the identification of industrial wastes, the SMED analysis; and the action plan implementation. As a final result, the setup time was reduced in 64%, bringing a relevant productivity and efficiency in the SMT line studied.
• USE OF THE DMAIC TOOL: HIGH FAILURE RATE IN THE HEAT SINK BOLTING PROCESS
  The DMAIC methodology has the potential to detect flaws in production processes and point out improvements for the results. In this sense, the general objective of this research seeks to point out through a case study how the use of DMAIC within a company in the manufacturing sector of other assorted electrical equipment and components, evaluating the high failure rate in the heat sink screwing process, can be an effective tool to leverage and improve the processes, thus resulting in greater profitability. Thus, the specific objectives seek to present and conceptualize what is quality management, conceptualize what is production management and how the application of its primary principles result in advantages for an effective production management, elucidate what and how a process mapping occurs in accordance with the process engineering, To present and conceptualize what the continuous improvement of processes is and what its main tools are, to conceptualize what the DMAIC methodology is, and finally, to conduct a case study in a company that produces and supplies automotive parts, pointing out how the use of DMAIC can be a great differential, in order to reduce failures in production processes and leverage profitability. In order to reach the objectives, bibliographical research was carried out to survey the theoretical basis and, subsequently, a case study was applied in Company X. Finally, it is suggested that a new case study be conducted, where the DMAIC methodology can be applied again, in order to demonstrate its effectiveness in manufacturing companies.
• FUZZY MODELING TO DEFINE CORROSIVITY POTENTIAL IN OIL PIPELINES
  In this work, a Fuzzy logic model was developed using the Fuzzy Logic Toolbox™ of the MATLAB® software, for monitoring the corrosivity potential in oil pipelines whose corrosion mechanism is predominantly by microbiological action. With the use of operational parameters, the model presents itself as an alternative to conventional monitoring methods, allowing to infer the corrosion rate in the pipeline, and therefore, the corrosivity potential. The model was applied to an oil pipeline and its results were compared with conventional monitoring methods. The analysis of the results concluded that the model can be used as a monitoring method for pipelines with those predominant corrosion mechanisms, helping to manage the integrity of oil pipelines.
• IMPLEMENTATION OF ISO 50001 – ENERGY MANAGEMENT SYSTEM IN A FACTORY IN THE ELECTRICAL AND ELECTRONICS SECTOR: MULTI-CASE STUDY
  We know that a series of factors influence and determine the degree of competitiveness of an organization, especially those that value good environmental, social, and corporate governance practices. Of course, there are other themes for competitiveness to be obtained in all fields; however, the focus on the ESG issue is another indication of how much the theme “sustainability” has gained more and more relevance in the market and consequently in business. In fact, the environmental issue was cited as one of the main points of concern for today's society in the most recent edition of the Global Risks Report, by the World Economic Forum (WEF), which highlighted issues such as extreme weather events, failures in negotiations regarding climate, environmental damage, and loss of biodiversity as major threats. In addition to the environmental aspect, society has also shown itself to be increasingly concerned with social and governance values. Socially, it has become essential to ensure a diverse corporate environment. More transparency and honesty in business began to be valued. Thus, the three pillars of competitiveness are basically focused on: Environmental protection, social responsibility, and economic success (Governance). In order to achieve all pillars, it is necessary to comply with standards established for large leading organizations in the market, to meet standards, laws, and data protection. In this context, norms and rules are presented to companies that aim to maintain compliance with these in order to obtain increasingly required certifications. Within the context discussed above, this work deals specifically with the ISO 50001 Standard - Energy Management System, where a process is described that aims to scientifically record and analyze the events that occur during the processes of monitoring energy consumption by electrical equipment significant energy use (SEU) as part of the standard certification process. During the process, all tools applied to develop the work were used such as: Strategic Planning, PDCA, Swot Matrix, and Hoshin Plan. The need is detailed in the organizational strategic planning and continues to be deployed in the organization. As a final result, the objective is to obtain certification in the standard with the understanding and fulfillment of all the items in question within the planned period. This case study that portrays the certification process of an electronics company in the Energy Efficiency Management System standard is of fundamental importance for bringing results to the organization in terms of reducing energy consumption and impact on the environment, and for improvements arising. The methodology used in the company was based on the energy diagnosis of the organization and using the PDCA method. The objective of the article is also to demonstrate, at the end, the level of knowledge of employees for the development that involves Energy Management after the organization's certification, done through field research.
• APPLICATION OF DEEP NEURAL NETWORK IN INTELLIGENT SYSTEM WITH PRODUCTION DASHBOARD
  The Lean Manufacturing process, also known as Lean Manufacturing, is a strategic methodology of action to reduce production waste, obtain product quality, reduce product delivery time to the customer and achieve the lowest number of defects. However, the company, in its electronic meter manufacturing process, does not have technologies that allow the implementation of this methodology, which brings the need for investment in this project, which has as main objective to develop an Intelligent System of Lean Manufacturing based on the requirements of a Manufacturing Execution Systems - MES, which allows or assists the decision-making process regarding Production Control and Management, through technologies such as: Artificial Intelligence, Internet of Things and Embedded Systems, aiming to reduce production costs and product quality. To achieve this objective, the following goals must be performed: Mapping of the requirements of the electronic meter production process, list the parameters of the manufacturing process to analyze and define the requirements for the Intelligent System that uses Artificial Intelligence algorithms, identify the bottlenecks of in such a way that it is possible to make improvements in the electronic meter manufacturing process, develop communication models using Program Application Interfaces - API together with Embedded Systems for data collection, develop the Intelligent System to transform data into real-time information with reports and scenario projections to identify failures or possible improvements with process statistics, validate the Intelligent System requirements to adapt the production control and management module in line with manufacturing and implement the system observing the test period. As an execution method, the PMBOK project management methodology will be used to guarantee deliveries in each phase, observing the incremental cycle for software development, for the development of the Intelligent System, the Django Pyhton framework will be used, in such a way that it meets the need accessibility and portability between different platforms, this framework will use the Front-End and Back-End stack Engines for data communication, three-layer design architecture and MVC pattern, encryption for sending and receiving data, Bootstrap for designing the interaction interfaces, Vue JS to create the interface events and Blade to integrate the models provided by the Back-End to the Front-End in an easy and productive way. The embedded systems for the electronic devices will be developed in C language through the VSCode environment, together with the communication interfaces. Finally, it is expected that the project meets the company's needs, that it improves the manufacturing process of the electronic meter by using the Intelligent System that uses Artificial Intelligence algorithms to generate results that determine viable solutions through previously programmed scenarios, which meet the demand to increase the maturity level of the process as it uses Industry 4.0 methods and technologies.
• DEVELOPMENT OF INTELLIGENT DEVICES FOR COMMUNICATION AND DATA PRE-PROCESSING IN THE PROCESS OF ELECTRONIC METER TESTING
  The main problem of the intelligent devices for communication in the process of tests in production lines that evidences and justifies the development of the research, meets the lack of communication between the various electronic devices, the synchronization of information through a system that allows support for decision making and the need to have this set of data related to production, process and quality as a requirement for framing the pillars of maturity of Industry 4.0. Currently, the companies of this sector do not have an information or intelligent system that allows this data processing, neither the expert systems embedded in hardware to collect data from the manufacturing process of the electronic meter DOW1310L. Considering that the integration of cyber-physical Systems, Intelligent Systems and AI are requirements for the company to increase the maturity of its process according to Ordinance No. 2.091-SEI, of September 17, 2018, it is necessary to develop this project aiming at cost reduction and product quality. The objective of the article is to develop an Intelligent System of Lean Manufacturing capable of promoting the integration of communication to support decision making when using Production Control processes, to ensure product quality, reducing production cost. The materials resulted in the following forms: Cutting Sequence, Z-Safety, Material Thickness, Relief Dimension, Simulation Block Dimensions and Simulation Relief Resolution. Of the methods: Importance of CNC machining, Indication of the axes of the CNC. Keys of operation of the CNC, CNC Interface. Part Machining, DERD, Parameterization, - 3D Modeling of the Pima Verification System, 3D Modeling of the Pima Verification System (Rear View). The results found were: Firmware embedded in intelligent devices for data collection and transmission; Algorithm applied to demand forecast and production indicator in which generate knowledge and are available in Dashboard; Intelligent system with API integration and integration of stacks for optimization of computational processes using modern technologies and frameworks for web development with production engines.