Lógica fuzzy aplicada na análise ergonômica de trabalho na industria automobilistica para tomada de decisão

Abstract

Ergonomics have proved to be increasingly important for industrial processes around the world. The evolution of machines and various work equipment. Therefore, it is extremely important to make a comprehensive reading of the workstations and ergonomic analysis tools. The objective of this research is an application of the technological resources of fuzzy logic in the results found in the Ergonomic Analysis of Work (AET) in seven jobs in the automotive industry of the Industrial Pole of Manaus (PIM). The methodology was applied to an ergonomic tool using the Suzanne Rodgers method and in the mathematical models characterized by fuzzy inference for decision making on the various disorders that occur with the health of the employee. Data from the Sune Rodgers ergonomic tool and other observations at the workstations will be tabulated and serve as an application for a fuzzy application through modeling in fuzz logic, fuzzization engine and base fuzzization with a mathematical risk output variable in nuclei. Therefore, it is useful to make a comparison and be able to contest the importance of ergonomic processes for the benefit of the worker in the automotive industry for decision making.