Application of Ergonomic Work Analysis in Automotive Industry Processes Using Computational Intelligence for Decision Making

Abstract

Ergonomics has proven to be increasingly important for industrial processes worldwide. The evolution of machinery and equipment has caused several occupational health disorders at work. Therefore, it is extremely important to conduct a comprehensive reading of workstations and use ergonomic analysis tools. The objective of this article is to apply the technological resources of fuzzy logic to the results found in the Ergonomic Work Analysis (AET) in seven workstations in the automotive industry of the Manaus Industrial Pole (PIM). The applied methodology is based on the use of the Suzanne Rodgers ergonomic tool and mathematical models characterized by Fuzzy Inference for decision-making on various disorders that occur with workers' health. The results found in the "Suzanne Rodgers" ergonomic tool applied to the movement of upper and lower limbs, together with the application of Fuzzy Logic, showed that the linguistic variables by colors and the legend that classifies ergonomic risks are useful for comparison and discussion of the importance of ergonomic processes for the benefit of the worker in the automotive industry.