Felipe Martins de Oliveira
Henrique Soares Koehler
Ergonomic assessments in forest operations are performed in isolation due to the lack of an adequate methodology that correlates the ergonomic variables simultaneously. The objective was to propose new methodology for the ergonomic evaluation of forest machines, by the development of an Integrated Ergonomic Indicator (IEI), useful to relate ergonomic variables simultaneously. Vibration, noise, heat, luminosity, posture, repeatability, visibility and productivity data were obtained during the day and night periods of the felller buncher, harvester, forwarder, skidder and processor in the state of Paraná, Brazil. The values, normalized by their deviations from the mean, were subjected to factorial multivariate analysis determining the factors that would influence the IEI composition. The factor index was multiplied by the explained variance for each factor and the result was divided by the total variance explained, so that the values remained around 0 and the higher the result, the worse the ergonomic condition. The evaluation presented R² of 0.9 and the variables that most influenced were vibration, noise and lateral visibility, relating to each other. The worst machine was the skidder, in both shifts, with IEI of 2.82 for the daytime period and 1.60 for the night shift, due to impacts and bumps in its displacement added to the high percentage of worker time with the rotated neck. The best were harvester B and forest processor at night, with IEI of -1.36 and -0.96, due to low vibration, low noise and low rotational deviation. The methodology proved to be useful in the integrated ergonomic evaluation.
No datasets are available for this submission.