Artigos
URI permanente para esta coleçãohttps://rigalileo.itegam.org.br/handle/123456789/5
Navegar
39 resultados
Resultados da Pesquisa
Item Application of Deep Neural Network in Intelligent System with Production Dashboard(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) RAMOS JUNIOR, Juarez da Silva; LEITE, Jandecy Cabral; GOMES, Marivan Silva; PAULA, Railma Lima de; CARVALHO, Michael da Silva; SILVA, Ítalo Rodrigo Soares; SIQUEIRA JUNIOR, Paulo Oliveira; PARENTE, Ricardo Silva; MIRANDA, Luís Gabryel dos Santos; LEITE, Jandecy CabralLean Manufacturing is a strategic methodology aimed at reducing production waste, ensuring product quality, and optimizing delivery times. However, many electronic meter manufacturing companies lack the necessary technologies to effectively implement this methodology. This study proposes the development of an Intelligent Lean Manufacturing System based on the requirements of a Manufacturing Execution System (MES), utilizing technologies such as Artificial Intelligence, the Internet of Things, and Embedded Systems. The system enables real-time decision-making for production control and management, reducing costs and improving product quality.Item Aplicação da lógica Fuzzy na emissão de notas fiscais em processos administrativos na Indústria Lean Office 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SOARES, Vera Alana Nobre; ALENCAR, David Barbosa de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; MORAES, Nadime Mustafa; LEITE, Jandecy CabralIndustry 4.0 has brought the need to integrate advanced technologies to improve the efficiency and agility of administrative processes. This study proposes the application of fuzzy logic to optimize the issuance of invoices, a critical process that faces challenges such as manual errors, delays, and high costs. A fuzzy model was developed that identifies key variables, applies inference rules, and tests the solution in a real environment with operational data. The results indicate a significant reduction in errors and processing times, in addition to gains in tax compliance and customer satisfaction.Item Application of Ergonomic Work Analysis in Automotive Industry Processes Using Computational Intelligence for Decision Making(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) PINTO, Leandro Soares; LEITE, Jandecy Cabral.; LEITE, Jandecy CabralErgonomics has proven to be increasingly important for industrial processes worldwide. The evolution of machinery and equipment has caused several occupational health disorders at work. Therefore, it is extremely important to conduct a comprehensive reading of workstations and use ergonomic analysis tools. The objective of this article is to apply the technological resources of fuzzy logic to the results found in the Ergonomic Work Analysis (AET) in seven workstations in the automotive industry of the Manaus Industrial Pole (PIM). The applied methodology is based on the use of the Suzanne Rodgers ergonomic tool and mathematical models characterized by Fuzzy Inference for decision-making on various disorders that occur with workers' health. The results found in the "Suzanne Rodgers" ergonomic tool applied to the movement of upper and lower limbs, together with the application of Fuzzy Logic, showed that the linguistic variables by colors and the legend that classifies ergonomic risks are useful for comparison and discussion of the importance of ergonomic processes for the benefit of the worker in the automotive industry.Item System for Analysis, Simulation and Implementation of Improvements in the Air Conditioning Manufacturing Process(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) CASTRO, Diego Alexandre de Lima LEITE, Jandecy Cabral; LEITE, Jandecy CabralThis study presents proposals for improvements in an air conditioner assembly line at a factory in the Manaus Industrial Hub. The research details the production process and evaluates factors hindering production, aiming to increase capacity, quality, efficiency, and waste reduction. Company documentary records and simulation tools (Plant Simulation) were used to identify bottlenecks and propose solutions. The new implemented layout provided a sustainable competitive advantage, improved employee training, and access to new automation technologies.Item Problema de Roteamento de Veículo e suas Variantes: uma Revisão Sistemática de Literatura(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022) BATISTA, Roberto Lopes; UHLMANN, Iracyanne Retto.; LEITE, Jandecy CabralThis study addresses a systematic literature review on the Vehicle Routing Problem (VRP) and its variants, building a bibliographic portfolio regarding the most suitable type of VRP for postal services. For this research, the ProKnow-C methodology was adopted, enabling the selection of articles in a more assertive, rigorous, and specific manner, eliminating redundancies and subjectivities, by searching articles in the Scopus and Web of Science databases. The objective of this article is to analyze the state of the art on VRP and its variants, and the main methodological approaches used, in the context of distribution logistics. A total of 114 articles aligned with the theme were selected, demonstrating that there is a vast literature on vehicle routing. This review shows that the genetic algorithm with adaptations is the most widely used model today to optimize routes for parcel collection and delivery.Item Integração logística entre a Zona Franca de Manaus (ZFM) e Venezuela: avaliação do modal por intermédio da lógica Fuzzy para escoamento da produção do setor eletroeletrônico(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) MIRANDA, Allan Cerdeira; NASCIMENTO, Manoel Henrique Reis; SANTOS, Eliton Smith dos; LEITE, Jandecy CabralThis study investigates the logistics integration between the Manaus Free Trade Zone (ZFM) and Venezuela, focusing on the production flow in the electronics sector. The main objective was to develop a Fuzzy inference model to evaluate the most viable modal for this integration. The methodology was divided into three phases: identification of modal evaluation indicators, modeling of the Fuzzy inference system, and experimentation with the proposed model using MatlabR2013 software. The results indicated that the model was effective in analyzing the performance of the modals, allowing the identification of the most relevant variables for choosing the best logistics modal. The research highlights the importance of improving logistics infrastructure to enhance the competitiveness of ZFM in international trade.Item Indústria 4.0: Uma Proposta para Implementação em uma Empresa Metal-Mecânica no Polo Industrial de Manaus(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) PEREIRA, Danilo Serrão; GUIMARÃES, Gil Eduardo; MARINELLI FILHO, Nelson; CORREA, Geraldo Nunes; TREVISOL, Janyel; LEITE, Jandecy CabralIndustry 4.0 introduces a comprehensive transformation in the production sector through the integration of advanced technologies, connecting the physical and digital environments. This study proposes a strategic plan for the implementation of Industry 4.0 in a metal-mechanical company in the Manaus Industrial Hub (PIM), using a structured roadmap. The research identified challenges and opportunities, highlighting barriers such as deficient infrastructure and lack of workforce training. The application of the Impuls questionnaire revealed that the company has an initial level of readiness for the technological transition. The proposed roadmap is divided into three phases: preparation and training, integration and automation, and continuous optimization with artificial intelligence. The study concludes that production modernization in the PIM can increase company competitiveness, reduce waste, and improve industrial sustainability.Item Desenvolvimento de um protótipo de gateway para coleta e transmissão de dados em sistemas de manuseio de materiais - Gate Move 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) AMARAL, Carlos Henrique; LEITE, Jandecy Cabral; RIBEIRO, Paulo Francisco da Silva; SILVA, Ítalo Rodrigo Soares; PARENTE, Ricardo Silva; DIRANE, Eduardo Nunes; MENDONÇA, Pedro Henrique Barros; LEITE, Jandecy CabralCurrently, material handling systems are fundamental in industries such as manufacturing, logistics, and distribution, performing critical functions in the movement, storage, control, and protection of materials throughout production and distribution processes. With the advancement of digital technologies and the emergence of Industry 4.0, there is a growing need for more intelligent and interconnected systems capable of collecting and transmitting real-time data, thus improving operational efficiency and decision-making. The primary objective of this study was to develop a gateway prototype called Gate Move 4.0, designed to efficiently and reliably collect and transmit data in material handling systems. The methodology adopted for the development of Gate Move 4.0 was organized into several stages, each meticulously planned to ensure that the final prototype met the established objectives. The study results showed that Gate Move 4.0 proved to be a functional prototype, meeting the proposed objectives and demonstrating satisfactory performance under various operating conditions.Item Modelo para estimar o risco de ruptura pela falta de abastecimento de insumos, com base em simulação digital: caso de uma indústria de eletroeletrônicos(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) BRANDÃO, Edio Paulo Seguini; RODRIGUEZ, Carlos Manuel Taboada; LEITE, Jandecy CabralThe supply flow for the manufacture of technology products has been impacted by restrictions in its supply dynamics, due to complex issues that involves uncertainties in the supply of inputs. This context got worst with the global supply crisis for the electronics goods industry, especially for the automotive industries, in 2020. By this uncertain scenario, the research is based on the case study to develop a model, based on digital simulation, which estimates the risk of disruption in a production process of electronics industry, due to lack of supply of components. This study development examined how traditional production planning and control systems are integrating with new information technologies enabling to obtain an accurate data for predicting disruption risks. The model is based on real data and requirements generated by Production Planning and Manufacturing Resource Planning (MRP) calculation to determine the disruption point, integrated within a Low Code Development Platform (LCDP) digital platform. The outcomes obtained in the case study highlighted the effectiveness of the proposal as the calculation of the disruption date and the production volume impacted by the disruption.Item Transformação Digital no Polo Industrial de Manaus: Aumento da Eficiência na Produção de Baterias de Lítio através da Indústria 4.0(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024) DAMASCENO, Alexandre Holanda; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JÚNIOR, Fernando Cardoso de; LEITE, Jandecy CabralThe lithium battery industry faces increasing challenges in terms of demand and expectations for sustainability and efficiency. In the context of the Manaus Industrial Hub, this study explores the application of Industry 4.0 technologies to overcome these challenges and increase production efficiency. The research implemented integrated cyber-physical systems, advanced automation, and real-time data analysis in a lithium battery assembly line, replacing manual processes with automated solutions. The results demonstrated significant improvements in production accuracy and speed, with a 40% reduction in cycle time and a 75% decrease in product rejection rates, highlighting the potential of digitalization to optimize industrial operations and meet the demands of a competitive global market. This study contributes to the literature on digital transformation in manufacturing, offering practical insights into the implementation of emerging technologies in complex industrial environments.