PROPOSTA DE AVALIAÇÃO DE RISCOS EM PRENSAS HIDRÁULICAS COM LÓGICA FUZZY

Abstract

Machine and equipment safety has been a focus of the Ministry of Labor since 1978 when regulatory standards were created. However, only after 2005 did regulatory bodies intensify their enforcement efforts to ensure the adaptation of industrial machinery and reduce workplace accidents. Despite the existence of standards to support the adaptation of machines, many companies still struggle to implement them correctly, ensuring the physical and psychological integrity of employees. This work proposes a risk assessment model for hydraulic presses using fuzzy logic, aiming to improve the recognition of machine risk levels and assist in determining the best adaptation methods. The mathematical model allows identifying the severity of the risk of each evaluated machine, facilitating the selection of the best adaptation methodologies available in Brazilian Standards (NBRs) and making the process faster, more suitable, and more accurate.