Navegando por Autor "SILVA, Carlos Américo de Souza"

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La importancia de las funciones de planificación y control de la producción en fabricación
(INSTITUTO DE TECNOLOGIA, 2013) LIMA, Orlem Pinheiro de; MADURO, Márcia Ribeiro; LEITE, Jandecy Cabral; SILVA, Carlos Américo de Souza; Prof. Dr. Carlos Tavares da Costa Júnior
This article analyzes the importance of the functions of production planning and control (PPC) in the manufacturing sector. Based on a literature review of 14 national and international authors, the study identifies differences in the approaches to PPC functions, but emphasizes a general agreement on its relevance for coordinating planning and operational execution. It concludes that, regardless of the industry type, PPC plays a strategic role in identifying deviations, proposing corrections, and ensuring process efficiency.
Logística Reversa de Pós-Consumo de Bateria de Celular
(INSTITUTO DE TECNOLOGIA, 2012) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; VIEIRA, Kellen Bicho; MAGALHÃES, Edilson Marques
This study examines reverse logistics as a tool for sustainable development, focusing on the proper disposal of mobile phone batteries, which contain heavy metals harmful to the environment. The research analyzed manufacturers, mobile operators, and consumers in the Manaus Industrial Pole (PIM), identifying challenges such as low consumer participation in the return process, despite the availability of return channels. The results emphasize the need for awareness campaigns and better-structured reverse channels to reduce improper disposal and promote recycling.
Modelo de Certificação Ambiental em Processos e Produtos Eletrônicos
(INSTITUTO DE TECNOLOGIA, 2012) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; PALADINI, Edson Pacheco; VIEIRA, Kellen Bicho; Edinaldo José de Sousa Cunha
The article presents an environmental certification model (Green Partner) for electronic processes and products, aiming to eliminate or control hazardous substances such as heavy metals (cadmium, lead, chromium, and mercury). Based on Sony's SS-00259 standard, the study demonstrates the model's application in a company from the Manaus Industrial Hub, highlighting the integration of management systems (ISO 9001, ISO 14001, OHSAS 18001) and the competitive and sustainable benefits of certification.
Nova Proposta para Sequenciamento de Produção com Lógica Fuzzy
(INSTITUTO DE TECNOLOGIA, 2011) SILVA, Carlos Américo de Souza; Prof Dr. Walter Barra Junior
The article proposes a new production sequencing method using fuzzy logic, focusing on product contribution margin as the primary criterion. The model aims to assist managers in decision-making by prioritizing more profitable products when delivery deadlines allow. The methodology combines variables such as delivery time, cycle time, production process, and contribution margin, generating fuzzy rules to optimize production scheduling. The results demonstrated effectiveness in prioritizing high-value products, providing strategic support for manufacturing.
SISTEMA DE CONTROLE NA ALIMENTAÇÃO DE COMPONENTES SMD EM PROCESSOS DE PRODUÇÃO SMT – ESTUDO DE CASO NO PÓLO INDUSTRIAL DE MANAUS
(INSTITUTO DE TECNOLOGIA, 2011) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; ARAÚJO, Ulysses Silva de; NOGUEIRA, Reginaldo Alves; Prof Dr. Walter Barra Junior
IN A SEARCH FOR A COMPETITIVE ERA OF THE ELECTRONICS MANUFACTURING COMPANIES IN THE INDUSTRIAL POLE OF MANAUS (PIM) THAT OPERATE IN THE SAME BUSINESS IN WHICH USE SIMILAR TECHNOLOGY PLATFORMS, SEEK TO OPTIMIZE THEIR PROCESSES AND CREATE TOOLS TO REDUCE OPERATIONAL FAILURES. THIS ARTICLE DEMONSTRATES A NEW TOOL TO SUPPORT THE OPERATORS OF AUTOMATIC INSERTION MACHINES IN ORDER TO ELIMINATE THE OPERATIONAL ERRORS. THE METHOD CONSISTED, FIRSTLY, A SURVEY OF THE FAULTS GENERATED IN THE PROCESS OF MOUNTING PLATE THAT INFLUENCED THE PRODUCTION CAPACITY AND THE DISORDERS GENERATED BY OPERATIONAL FAILURES AND IN THE CASES STUDIED IN LITERATURE. THE RESULTS CONSISTED OF THE MANUFACTURING ENVIRONMENT WITHOUT SUPPLY FAIL OF COMPONENTS, REDUCING SETUP TIMES BETWEEN SHIFTS AND CONSEQUENTLY INCREASED PRODUCTION CAPACITY IN THE AREA OF AUTOMATIC INSERTION.
Sistema inteligente para classificação de defeitos na manufatura de placas com Rede Neural Convolucional
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco
Python-based software designed to classify defects in PCB manufacturing using Convolutional Neural Networks (CNN). Applied in Industry 4.0 environments, the system improves fault detection efficiency and reliability in production lines through intelligent pattern recognition.
Sistema inteligente para classificação de falhas na manufatura de placas utilizando algoritmo de Machine Learning KNN
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco; SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral
Python-based software using the K-Nearest Neighbors (KNN) machine learning algorithm to classify failures in PCB manufacturing lines. Designed for Industry 4.0 environments, it aims to improve predictive failure detection accuracy in automated industrial contexts.
Sistema inteligente para detecção de falhas utilizando algoritmo de Árvore de Decisão
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) PENEDO, Jorge Eduardo Santos; PALADINI, Edson Pacheco; SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral
Python-based software employing Decision Tree algorithms to detect faults in industrial or computational systems. Designed for Industry 4.0 environments, it aims to enhance operational reliability and enable automated diagnostics.
Sistema inteligente para detecção de falhas utilizando algoritmo de máquina de vetores de suporte – SVM
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Carlos Américo de Souza; PALADINI, Edson Pacheco; PENEDO, Jorge Eduardo Santos; LEITE, Jandecy Cabral
Python-based software using Support Vector Machine (SVM) algorithms for fault detection systems. Aimed at intelligent automation in industrial settings, the software enhances predictive decision-making accuracy in the context of Industry 4.0.
Sistema para Tomada de Decisão na Programação de Produção de Celular e Modem Utilizando Lógica Fuzzy
(Universidade Federal do Pará, 2010) SILVA, Carlos Américo de Souza; COSTA JUNIOR, Carlos Tavares da
The objective of this paper is to present a model using fuzzy logic, which seeks to assist the process of making decisions as to which product should have priority in scheduling the manufacturing process where there are two classes of products (WCDMA Modem and Mobile Phone). With this, it aims to identify particularities and characteristics of the productive processes, creating a better sequencing of production, whose master plan of production will be able to meet demand according to market fluctuations. The main purpose of the proposed system is to assist professionals in industrial planning to determine which products should be prioritized in the production line based on manufacturing characteristics, such as delivery time, cycle time, production process, and margin contribution, creating a production program best suited to the reality of the organization, in other words, optimizing existing resources and increasing profits.
Sistema para Tomada de Decisão na Programação de Produção de Celular e Modem, Utilizando Lógica Fuzzy
(Universidade Federal do Pará, 2010) SILVA, Carlos Américo de Souza; COSTA JUNIOR, Carlos Tavares da
The objective of this paper is to present a model using fuzzy logic, which seeks to assist the process of making decision as to which product should have priority in scheduling of the manufacturing process where there are two classes of products (WCDMA Modem and Mobile Phone). With this, it aims to identify particularities and characteristics of the productive processes, creating a better sequencing of production, whose master plan of production will be able to meet demand according to market fluctuations. The main purpose of the proposed system is to assist professionals in industrial planning to determine which products should be prioritized in the production line based on manufacturing characteristics, such as delivery time, cycle time, production process, and margin contribution, creating a production program best suited to the reality of the organization, in other words, optimizing existing resources and increasing profits.
Sistema para tomada de decisão na programação de produção de Modem e Celular, utilizando lógica fuzzy
(INSTITUTO DE TECNOLOGIA, 2010) SILVA, Carlos Américo de Souza; LEITE, Jandecy Cabral; JÚNIOR, Carlos Tavares da Costa; MAGALHÃES, Edilson Marques
The paper presents a model based on fuzzy logic to assist in decision-making regarding the prioritization of products (3G Modem and Mobile Phone) in industrial production scheduling. The system considers parameters such as delivery time, cycle time, production process, and contribution margin, aiming to optimize sequencing and meet market demands. The goal is to reduce costs and increase organizational profitability.