Implantação de conceitos e tecnologias da indústria 4.0 na gestão da qualidade de uma empresa de médio porte
Título principal
Implantação de conceitos e tecnologias da indústria 4.0 na gestão da qualidade de uma empresa de médio porte [recurso eletrônico] / Yuri Medeiros Novochadlo ; orientador, Edson Pacheco Paladini
Data de publicação
2024
Descrição física
99 p. : il.
Nota
Disponível somente em versão on-line.
Dissertação (mestrado) – Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2024.
Inclui referências.
Implantação de conceitos e tecnologias da indústria 4.0 na gestão da qualidade de uma empresa de médio porte [recurso eletrônico] / Yuri Medeiros Novochadlo ; orientador, Edson Pacheco Paladini
Data de publicação
2024
Descrição física
99 p. : il.
Nota
Disponível somente em versão on-line.
Dissertação (mestrado) – Universidade Federal de Santa Catarina, Centro Tecnológico, Programa de Pós-Graduação em Engenharia de Produção, Florianópolis, 2024.
Inclui referências.
Abstract: The transition to Industry 4.0 is already a global reality. However, in the Brazilian context, small and medium-sized companies face significant challenges. As highlighted by the National Confederation of Industry in 2022, the lack of technical knowledge about emerging technologies is one of the main barriers. This gap prevents companies from taking advantage of opportunities to improve their production processes, especially in a scenario as dynamic as the current one. With this in mind, this study investigates, through action research, the impact of implementing Industry 4.0 concepts and technologies on the quality management of a medium-sized company. The study was carried out in the injection sector of a company that manufactures injected glasses, where the concept of Digital Transformation was implemented, making use of technologies such as Internet of Things (IoT), Big Data, Cloud Computing and a software obtained through the model Software as a Service. The research explores the influence of this transformation on the three levels of quality management: operational, tactical and strategic. Furthermore, we sought to demonstrate how the indicator of Overall Equipment Effectiveness (OEE) implemented in the sector behaved based on the data collected by these technologies and the actions applied. The research results indicate that the adoption of technologies such as IoT, Big Data and Cloud Computing has made data more transparent and accessible, speeding up the response to production losses through data-driven decision making. Furthermore, the study highlights the importance of training employees so that they can effectively integrate with new technologies, playing a role beyond software operation.