Elaboração de uma matriz de tomada de decisão, com lógica fuzzy, sobre a adoção de tecnologias 4.0 em uma linha de montagem, por meio de gêmeos digitais, com ênfase na mão de obra humana e sistemas robóticos

Abstract

This study presents the design and analysis of a new production line within the Industry 4.0 framework, emphasizing the interaction between human labor and advanced robotic systems. The research employs digital twin simulation to model and compare two production scenarios: a traditional one, operated exclusively by humans, and an automated system integrating collaborative robots (COBOTs). The methodology uses Plant Simulation software to assess key performance indicators such as productivity, operational costs, worker fatigue, safety, and ergonomic impact. The results highlight significant improvements in production efficiency, cost reduction, better working conditions, and enhanced industrial sustainability. Furthermore, the study discusses the social and economic implications of automation, emphasizing the need for workforce reskilling and adaptation to new technological demands. It is concluded that the strategic integration of robotic systems and digital technologies not only enhances industrial competitiveness but also fosters a safer and more ergonomic working environment, aligned with the trends of smart manufacturing.