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Os efeitos da Indústria 4.0 nos processos produtivos: ótica de uma empresa automóvel
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Abstract(s)
A presente investigação tem como objetivo analisar os efeitos da Indústria 4.0 nos processos produtivos, a partir da perspetiva de uma empresa automóvel — a Visteon Corporation. Num contexto marcado pela transformação digital e pela convergência entre o mundo físico e digital, a Indústria 4.0 representa uma mudança paradigmática nos sistemas de produção, impulsionada por tecnologias como a Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Manufacturing Execution Systems (MES), automação avançada e robótica colaborativa. O estudo procura compreender de que forma estas tecnologias contribuem para a melhoria da eficiência operacional, da qualidade do produto e da tomada de decisão. Especificamente, pretende-se analisar o nível de adoção das tecnologias da Indústria 4.0 nos processos produtivos, identificar os benefícios percebidos, explorar os desafios à sua integração e avaliar o impacto na gestão e nas decisões organizacionais. A investigação adota uma abordagem qualitativa de natureza interpretativista, baseada num estudo de caso aprofundado, recorrendo a entrevistas semiestruturadas, observação direta, anotações de campo e registo fotográfico. A escolha da Visteon justifica-se pelo seu posicionamento estratégico no setor automóvel, pela aposta contínua na inovação tecnológica e pela aplicação prática das ferramentas da Indústria 4.0 nas suas operações fabris.
Os resultados demonstram que a digitalização tem impulsionado melhorias significativas na rastreabilidade, eficiência operacional, qualidade dos produtos e capacidade de resposta ao mercado. As principais contribuições deste estudo residem na integração entre teoria e prática da Indústria 4.0 no contexto automóvel, na aplicação de uma abordagem qualitativa interpretativista e na identificação de impactos operacionais concretos que podem orientar gestores e investigadores.
The present research aims to analyze the effects of Industry 4.0 on production processes from the perspective of an automotive company – Visteon Corporation. In a context marked by digital transformation and the convergence between the physical and digital worlds, Industry 4.0 represents a paradigmatic shift in production systems, driven by technologies such as the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Manufacturing Execution Systems (MES), advanced automation, and collaborative robotics. The study seeks to understand how these technologies contribute to improving operational efficiency, product quality, and decision-making. Specifically, it aims to assess the current adoption of Industry 4.0 technologies in production processes, identify perceived benefits, explore challenges to their integration, and evaluate their impact on managerial decisions. A qualitative, interpretivist approach was adopted through an in-depth case study supported by semi-structured interviews, direct observation, field notes, and photographic records. Visteon was selected due to its strategic position in the automotive sector, strong technological innovation, and practical implementation of Industry 4.0 tools in its manufacturing operations. Results indicate that digitalization at Visteon has significantly improved traceability, operational efficiency, product quality, and responsiveness to market demands. The integration of MES and CIM systems enables real-time monitoring and data-driven decision-making, while robotic arms and autonomous vehicles enhance automation and internal logistics efficiency. The main contributions of this study lie in bridging theory and practice of Industry 4.0 in the automotive context, demonstrating the value of a qualitative interpretivist approach, and identifying concrete operational impacts that can guide both managers and researchers.
The present research aims to analyze the effects of Industry 4.0 on production processes from the perspective of an automotive company – Visteon Corporation. In a context marked by digital transformation and the convergence between the physical and digital worlds, Industry 4.0 represents a paradigmatic shift in production systems, driven by technologies such as the Internet of Things (IoT), Big Data, Artificial Intelligence (AI), Manufacturing Execution Systems (MES), advanced automation, and collaborative robotics. The study seeks to understand how these technologies contribute to improving operational efficiency, product quality, and decision-making. Specifically, it aims to assess the current adoption of Industry 4.0 technologies in production processes, identify perceived benefits, explore challenges to their integration, and evaluate their impact on managerial decisions. A qualitative, interpretivist approach was adopted through an in-depth case study supported by semi-structured interviews, direct observation, field notes, and photographic records. Visteon was selected due to its strategic position in the automotive sector, strong technological innovation, and practical implementation of Industry 4.0 tools in its manufacturing operations. Results indicate that digitalization at Visteon has significantly improved traceability, operational efficiency, product quality, and responsiveness to market demands. The integration of MES and CIM systems enables real-time monitoring and data-driven decision-making, while robotic arms and autonomous vehicles enhance automation and internal logistics efficiency. The main contributions of this study lie in bridging theory and practice of Industry 4.0 in the automotive context, demonstrating the value of a qualitative interpretivist approach, and identifying concrete operational impacts that can guide both managers and researchers.
Description
Keywords
Indústria 4.0 Setor automóvel Internet of Things Big Data Industry 4.0 Automotive sector