“Evaluación de riesgos mecánicos mediante el método William Fine y su incidencia en la accidentabilidad en aserrío de empresa Balsera, Quevedo 2021”
The present research work was carried out in a rafting company in the Quevedo Canton, the main objective of the study was to evaluate the mechanical risks using the William Fine method and determine their incidence with the accident rate in the sawmill. The William Fine method consists of assessing...
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| Format: | bachelorThesis |
| Language: | spa |
| Published: |
2021
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| Subjects: | |
| Online Access: | https://repositorio.uteq.edu.ec/handle/43000/6450 |
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Add Tag | Summary: | The present research work was carried out in a rafting company in the Quevedo Canton, the main objective of the study was to evaluate the mechanical risks using the William Fine method and determine their incidence with the accident rate in the sawmill. The William Fine method consists of assessing the severity of the risks, three factors are considered: consequence, exposure, and probability. A quasi-experimental design was carried out because the evaluation of the degree of dangerousness of the existing mechanical risks was carried out in all the workstations. In total there are 11 areas with their respective processes (represented in the flowchart), including the sawmill. Through the statistical analysis of the data concerning the period January 2018 - June 2021, a total of 48 work accidents that have caused 465 lost days were obtained, determining that the area with the highest accident rate is sawmill with a result of 11 injured workers, detecting that the phalanges of the hand are the most affected in accidents; the frequency index was higher in 2018, the severity index with the highest value was 2019, therefore it caused the risk rate to be equally higher in that year. The contrast of the hypothesis showed that mechanical risks do affect occupational accidents. The GTC 45 matrix identified that mechanical risks represent 52.4% of all occupational risks in the sawmill, with the application of the William Fine method the mechanical risks of greatest influence are cutting or sectioning (15.63%) and running over or hitting with a vehicle (15.63%), the job with the highest criticality is auxiliary of log manager. 94% of workers are exposed to critical risks. To reduce the accident rate, intervention measures were proposed in the mechanical risks with a critical level. Keywords: reactive indices, frequency, severity, risk rate, accidents, cuts, sawmill. |
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