Navegando por Autor "NASCIMENTO, Manoel Henrique Reis"

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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.
Adoção da tecnologia mobile para a otimização do processo de fiscalização do ingresso de mercadoria nacional na áreas de controle da SUFRAMA: vistoria 4.0
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-05-09) NEIVA, Fernando Viana; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
The Manaus Free Trade Zone (ZFM) is an area with tax incentives created to stimulate economic development in the Amazon region. Among these incentives are tax breaks for national goods sent from all over the country to the region, however, controlling their entry into the region faces challenges such as a lack of personnel in Suframa, few administrative units for inspection, and poor infrastructure in the Amazon region that make the area prone to tax fraud. To solve this problem, an application is proposed that uses information technologies to increase the efficiency and security of the process of inspecting goods. The application will use embedded technologies such as Optical Character Recognition (OCR) and Geolocation, allowing the recipients of the goods themselves to carry out the physical inspection procedure safely. The functional and non-functional requirements of the application were elicited, and the interface screens were developed in the FIGMA software. An analysis of the potential productivity gain of the goods inspection was carried out, which found that only with medicines and vehicles, it was possible to increase the quantitative productivity of physical inspections by 7.5%, from the current 2.5% defined as an institutional goal to almost 10% of the total values of the invoices registered in the autarchy. In addition to improving the efficiency of the inspection process in the ZFM, the application will cover 100% of the control area, covering all 157 incentivized municipalities in the region. It was found that the low investment required for the development of the application, compared to hiring personnel to carry out the same number of physical inspections, is advantageous due to its cost-effectiveness. The use of information technologies to strengthen the control of goods entering the region is an economic, practical, and sustainable option that can strengthen the inspection process and minimize the risks of fraud.
Algoritmo de Previsão da Confiabilidade de Motores (APCM)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-05-09) SILVA, Ítalo Rodrigo Soares; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
Registration of computer program registered with the National Institute of Industrial Property (INPI), work derived from the dissertation "KPI reliability prediction model in a group of internal combustion machines using artificial neural network techniques in thermoelectric plants".
Algoritmo para a Avaliação da Sustentabilidade Econômica em Reserva Extrativista (SERE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-15) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000611-7, which implements an algorithm for assessing economic sustainability in extractive reserves, known as SERE. The objective of the program is to monitor and analyze economic indicators of sustainability in reserve areas, assisting in decision-making to ensure the economic viability of sustainable extractive practices. SERE is a crucial tool for managers and researchers seeking to balance economic exploration with environmental conservation in extractive reserves. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para a Avaliação da Sustentabilidade Institucional em Reserva Extrativista (SIRE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-15) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000612-5, which implements an algorithm for assessing institutional sustainability in extractive reserves, known as SIRE. The objective of the program is to monitor and analyze institutional sustainability indicators in reserve areas, offering support for the efficient and sustainable management of these areas. SIRE is a valuable tool for managers and researchers, allowing data-based decisions to be made to ensure the long-term sustainability of institutions that manage extractive reserves. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para a Avaliação da Sustentabilidade Social em Reserva Extrativista (SSRE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-05-12) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document is a Computer Program Registration Certificate issued by the National Institute of Industrial Property (INPI) of Brazil, referring to the "Algorithm for the Assessment of Social Sustainability in an Extractive Reserve (SSRE)". The certificate ensures the program's registration for 50 years, valid from January 1st following December 15th, 2023, as provided for in Law No. 9,609/1998. Developed by the Galileo da Amazônia Institute of Technology and Education (ITEGAM), the algorithm was created on May 12, 2023 and is implemented in the MATLAB language. The document also includes a hashed digital digest (SHA-512) to ensure the authenticity and integrity of the recorded content.
Algoritmo para análise preliminar dos requisitos técnicos dos titulares de permissão para reparo e manutenção de instrumentos de medição regulados
(Instituto Nacional da Propriedade Industrial (INPI), 2024-06-28) MOREIRA, Jaildo Jackson do Amaral; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm for preliminary analysis of the technical requirements of permit holders for repair and maintenance of regulated measuring instruments", developed in MATLAB, valid for 50 years.
Algoritmo para Avaliação da Sustentabilidade Ambiental em Reserva Extrativista (SARE)
(Instituto Nacional da Propriedade Industrial (INPI), 2023-12-10) NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; http://lattes.cnpq.br/7279183940171317
This document describes a computer program registered under number BR512024000610-9, which implements an algorithm for assessing environmental sustainability in extractive reserves, known as SARE. The objective of the program is to analyze and monitor sustainability indicators in reserve areas, helping to make decisions aimed at environmental conservation and the sustainable use of natural resources. Using data analysis and environmental intelligence techniques, the program is an essential tool for environmental managers and researchers who seek to promote the balance between preservation and sustainable exploration. Program registration is valid for 50 years from January 1, 2024.
Algoritmo para escoamento da produção do setor eletroeletrônico
(Instituto Nacional da Propriedade Industrial (INPI), 2024-10-08) MIRANDA, Allan Cerdeira; NASCIMENTO, Manoel Henrique Reis
The National Institute of Industrial Property (INPI) issued a registration certificate for the computer program entitled "Algorithm for the flow of production in the electronics sector," valid for 50 years from January 1st following the date of May 29th, 2024. The algorithm was developed in MATLAB, applied to fields AD-03, IF-01, and TP-01, and was registered under process BR512024003607-5. The certificate was issued on October 8th, 2024, approved by the INPI's patents and computer programs directorate.
Algoritmo para otimizar o processo de inspeção de qualidade
(Instituto Nacional da Propriedade Industrial (INPI), 2024-07-22) SOUSA, Marcio Rizonildo Aquino de; SANTOS, Eliton Smith dos; CAMPOS, Paola Souto; NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
Document for the registration of computer software by the National Institute of Industrial Property (INPI), validating the software "Algorithm to optimize the quality inspection process", developed in Python, valid for 50 years.
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 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, 2022-11-11) PONTES, Kleber de Lima; NASCIMENTO, Manoel Henrique Reis
This work proposes the use of Fuzzy Logic as a tool to analyze and manage risks associated with Research, Development, and Innovation (R&D&I) projects. Globalization and growing demands for innovation require organizations to develop products and services efficiently, minimizing risks and maximizing technical feasibility. The developed Fuzzy model allows for the identification, classification, and evaluation of risks, providing a robust tool for decision-making in uncertain environments. The research highlights the importance of effective risk management to ensure the delivery of innovative projects within planned timelines and costs.
Aplicação da lógica fuzzy para tomadas de decisões nos critérios de rateio e distribuição de custos industriais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-04-11) NOVO, Breno Tello; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
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. 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. The model resulted in 576 inference rules for analysis. 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. In this way, the Fuzzy system helps to guide us in which costing method we should adapt 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.
Aplicação do modelo Autoregressivo não linear com entradas exógenas para previsão do nível do rio no Amazonas
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-07-05) LOPES, Gisele de Freitas; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
River level variation is a constant problem, the prediction of river level variation brings a possibility of planning in all areas of action, which provides for a reduction in the impact caused by floods and ebbs. The present work is justified by three basic lines that involve the problem of the theme, which are the use of Artificial Intelligence, the problem of floods in the Amazon and the issue of technology in favor of decision making. The environmental impacts caused by economic and social factors are problems portrayed in scenarios such as floods and ebbs of rivers, bringing up situations such as an increase in diseases, reduction of agricultural production in places that depend on precise geological control, in addition to the increase in erosive processes in risky locations. Thus, the use of AI to predict the river level, which consequently can minimize the problems arising from floods that cause environmental impact, is highly possible, because when it is known in advance that an event is about to happen, decisions can be made that impacts are smaller. This work models and applies NARX to predict the river level in the Amazon with variables that are easy to access and implement through the MATLAB software, in order to contribute with a forecast model capable of predicting a possible flood from the river level. For the application of the methodology, the input variables of the National Institute of Meteorology were used, and the output variable of the Port of Manaus website, Rio Negro station of the port of Manaus, 01/31/2020 to 06/30 /2021. The performance of the models was compared with 5, 10, 15, 20 and 25 steps forward, considering months as the forecast horizon. The NARX model obtained a better response in the predictions, among which the 15-step horizon stood out.
Computational meta-heuristics based on Machine Learning to optimize fuel consumption of vessels using diesel engines
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2021-05-01) SIQUEIRA JUNIOR, Paulo Oliveira; NASCIMENTO, Manoel Henrique Reis; SILVA, Ítalo Rodrigo Soares; PARENTE, Ricardo Silva; FONSECA JUNIOR, Milton; LEITE, Jandecy Cabral;
With the expansion of means of river transportation, especially in the caseof small and medium-sized vessels that make routes of greater distances, the cost of fuel, if not taken as an analysis criterion for a larger profit margin, is considered to be a primary factor , considering that the value of fuel specifically diesel to power internal combustion machines is high. Therefore, the use of tools that assist in decision making becomes necessary, as is the case of the present research, which aims to contribute with a computational model of prediction and optimization of the best speed to decrease the fuel cost considering the characteristics of the SCANIA 315 machine. propulsion model, of a vessel from the river port of Manaus that carries out river transportation to several municipalities in Amazonas. According to the results of the simulations, the best training algorithm of the Artificial Neural Network (ANN) was the BFGS Quasi-Newton considering the characteristics of the engine for optimization with Genetic Algorithm (AG).
Different Deterministic Optimization Methods for Economic Load Dispatch, Switching Off Less Efficient Generators
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023) NASCIMENTO, Manoel Henrique Reis; ALENCAR, David Barbosa de
This chapter discusses different deterministic optimization methods applied to economic load dispatch, focusing on switching off less efficient generators. The study investigates the efficiency of methods such as linear programming, quadratic programming, and other mathematical approaches to reduce operational costs and improve energy efficiency in power generation systems. The research highlights how optimization can contribute to more cost-effective and environmentally friendly decision-making, proposing strategies to integrate these methodologies into power generation systems.
Estimativa do custo do metro quadrado habitacional popular na cidade de Manaus baseado nos principais insumos, usando redes neurais artificiais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-12) FROTA, Arlindo Rubens De Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
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 has 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 implemented, based on the concepts of ANN - Artificial Neural Network, which compiles 2 civil construction cost tables 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 tables 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 cost of the square meter of popular housing, in the city of Manaus, from the stipulation of the inputs. ANN was able to present a very strong correlation in the sources of its sample space, thus demonstrating that the tables, 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.
Estimativa do Custo Unitário de Metro Quadrado Habitacional Popular na Cidade de Manaus Baseado nos Principais Insumos, Usando Redes Neurais Artificiais
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2023-06-12) FROTA, Arlindo Rubens de Oliveira; NASCIMENTO, Manoel Henrique Reis; http://lattes.cnpq.br/0850846128967798
This document describes a computer program registered under number BR512023002194-6, whose purpose is to calculate the unit cost per square meter for popular housing in the city of Manaus. The estimation is carried out using artificial neural networks, taking into account the main inputs needed for construction. The program was developed to support analysis and decision-making in housing projects, providing accurate, data-driven estimates for cost planning. Registration is valid for 50 years from January 1, 2023.
Fuzzy Logic-Based Compliance Assessment For Display Testing In Industrial Measurement Systems
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-10-01) SOUZA, Márcio André de Oliveira; NASCIMENTO, Manoel Henrique Reis; LEITE, Jandecy Cabral; BRITO JUNIOR, Jorge de Almeida; QUEIROZ JUNIOR, Fernando Cardoso de
This study presents the development and implementation of a fuzzy logic-based system aimed at automating the compliance evaluation process for display testing in industrial measurement systems. The fuzzy inference system was programmed in Python, using linguistic variables and fuzzy rules to assess performance parameters like accuracy, response time, and error margins. Results showed that the system classified 93% of devices in accordance with established compliance standards, improving the reliability and efficiency of display testing in industrial environments.
Implementação do sistema de inferência fuzzy para suporte à avaliação do esfigmomanômetro visando atender às atividades de fiscalização fluvial na área da metrologia legal, cientifica e conformidades
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2024-04-26) BRITO, Márcio André Oliveira; LEITE, Jandecy Cabral; NASCIMENTO, Manoel Henrique Reis; ; http://lattes.cnpq.br/7279183940171317
The Amazon region has characteristics that point to logistical difficulties in meeting the demands whose inspection goal is to contribute to the economic development of the craft industry and commerce in the interior of the state, making regional products competitive, by providing technical metrological advice on procedures for verifying weighing and measuring instruments, using river vessels equipped with laboratories for testing pre-measured products, service rooms, IT and training. The Management Model for Basic River Units (UBF), aimed at carrying out inspection activities in the area of legal and scientific metrology and conformity assessment using fuzzy logic for decision-making, proposes an innovative management system for river units, focused on IPEM-AM's inspection activities using INMETRO's methodology. The approach uses fuzzy logic to improve decision-making, making it more accurate and efficient. The aim of the research is to evaluate a pressure device (sphygmomanometer) in order to fulfil inspection activities in the area of legal and scientific metrology and compliance, using fuzzy inference to support decision-making. The methodology used aims to improve the efficiency and effectiveness of inspection activities in these areas, reducing errors and optimising resources. Fuzzy logic is a suitable tool for dealing with the uncertainty and imprecision present in this context, allowing the system to make decisions that are closer to reality in accordance with the legislation. The results of the proposed model can be applied to different types of river units, helping to improve inspection processes and ensuring compliance with current rules and regulations. In addition, the use of fuzzy logic can provide more intelligent management that can be adapted to the changing conditions of the river environment according to the region's logistical purposes.