Navegando por Autor "SILVA, Maeli Oliveira da"

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Análise dos Desafios na Transição para Indústria 4.0: um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; MARINELLI FILHO, Nelson
This paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The methodology was based on the application of data visualization techniques to identify null and zero values at different stages of the migration process. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation. The study proposes a framework for assessing and mitigating these challenges, contributing to the literature on digital transformation in the Brazilian industrial context.
Análise dos Desafios na Transição para Indústria 4.0: Um Estudo sobre a Integração de Sistemas de Custeio em Ambientes Automatizados
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; MARINELLI FILHO, Nelson
This study analyses the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. By applying heat maps to industrial costing spreadsheets of electronic components, inconsistencies were identified that reflect broader structural barriers of industrial digital transformation. The methodology relied on data visualization techniques to detect null and zero values at different stages of the migration process. The results revealed seven critical categories of inconsistencies: interoperability issues, complexity in indirect cost allocation, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to Industry 4.0 dynamics. It was concluded that such inconsistencies represent significant barriers to transition, especially in highly automated industries. The study also proposes a framework for assessment and mitigation, contributing to the literature on digital transformation in the Brazilian industrial context.
Análise dos Desafios na Transição para Indústria 4.0: Um Estudo Sobre a Integração de Sistemas de Custeio em Ambientes Automatizados
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) SILVA, Maeli Oliveira da; FILHO, Nelson Marinelli; GUIMARÃES, Gil Eduardo; LEITE, Jandecy Cabral; FERREIRA, Matheus Rissardi; Jandecy Cabral Leite
This paper analyzes the challenges faced during the transition from traditional costing systems to absorption costing systems in the context of Industry 4.0. Through the analysis of heat maps applied to an industrial costing spreadsheet for electronic components, the study identifies and categorizes inconsistencies that reflect broader structural challenges of industrial digital transformation. The results reveal seven critical categories of inconsistencies: interoperability issues, complexity in the allocation of indirect costs, implementation and maintenance costs, workforce training, real-time data management, compliance and security, and adaptation to the dynamics of Industry 4.0. It was concluded that such inconsistencies represent significant barriers to a successful transition, especially in industries with a high degree of automation.
Sistema Inteligente de Verificação de Pedidos com Visão Computacional e Aprendizado de Máquina para Expedição Industrial 4.0
(Instituto de Tecnologia e Educação Galileo da Amazônia, 2025) THEOCHAROPOULOS, Scarlette Silva; SILVA, Maeli Oliveira da; CAMPOS, Paola Souto
Certificate issued by the Brazilian National Institute of Industrial Property (INPI) for the registration of the computer program entitled Intelligent Order Verification System with Computer Vision and Machine Learning for Industrial 4.0 Shipping. Developed in Python, the software aims to optimize industrial processes by integrating computer vision algorithms and machine learning techniques to automate shipping in the context of Industry 4.0. The registration provides legal protection for 50 years under Law No. 9.609/1998, ensuring the proprietary rights of the authors and the holding institution over its technological application.