Application of ergonomic work analysis in automotive industry processes using computational intelligence for decision making

Abstract

Ergonomics have proved to be increasingly important for industrial processes around the world. The evolution of machinery and equipment has caused several disorders in occupational health at work. Therefore, it is extremely important to make a comprehensive reading of the workstations and ergonomic analysis tools. The objective of the article is to make 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 applied is based on the application of ergonomic tools using Suzanne Rodgers`method and on the mathematical models characterized by Fuzzy Inference for decision making on various disorders that occur with the health of the employee. The results found in the ergonomic tool ‘’Suzanne Rodgers’’ applied to the movement of upper and lower limbs and other observations in the productive sectors, with the application of Fuzzy Logic, it was shown that the linguistic variables by colors, the legend that shows the classification of ergonomic risks through run. Therefore, they serve to make a comparison and discuss the importance of ergonomic processes for the benefit of the worker in the automotive industry for decision-making.