(Instituto de Tecnologia e Educação Galileo da Amazônia, 2022-11-12) PINTO, Leandro Soares; LEITE, Jandecy Cabral
This study proposes the application of a fuzzy logic tool for ergonomic work analysis in an automotive industry, focusing on decision-making. The methodology aims to improve working conditions and reduce the risk of occupational injuries by applying artificial intelligence techniques to evaluate ergonomic factors at workstations. The developed fuzzy system considers variables such as effort level, effort time, and the number of efforts per minute, providing a detailed analysis that helps identify risks and implement ergonomic improvements.
