Postural Risk Assessment of Small-Scale Debarkers for Wooden Post Production

Raffaele Spinelli; Giovanni Aminti; Natascia Magagnotti; Fabio De Francesco

doi:10.3390/f9030111

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Postural Risk Assessment of Small-Scale Debarkers for Wooden Post Production

Journal article

Open access

Peer reviewed

Postural Risk Assessment of Small-Scale Debarkers for Wooden Post Production

Raffaele Spinelli, Giovanni Aminti, Natascia Magagnotti and Fabio De Francesco

Forests, Vol.9(3), 111

2018

DOI: https://doi.org/10.3390/f9030111

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Abstract

WMSD

OWAS

ergonomics

safety

logging

The study sampled six representative work sites in Northern and Central Italy, in order to assess the risk for developing musculo-skeletal disease due to poor work posture (postural risk) among the operators engaged in semi-mechanized post debarking operations. Assessment was conducted with the Ovako Working posture Analysis System (OWAS) on 1200 still frames randomly extracted from videotaped work samples. The postural risk associated with post debarking was relatively low, and varied with individual operations based on their specific set up. Postural risk was higher for the loading station compared with the unloading station, which makes a strong argument for job rotation. The study suggested that the infeed chute of small-scale debarkers might be too basic and should be further developed, in order to reduce postural risk. Obviously, better machine design should be part of an articulate strategy aimed at decreasing the postural risk and based on proper worksite organization and specific worker training.

Details

Title: Postural Risk Assessment of Small-Scale Debarkers for Wooden Post Production
Authors: Raffaele Spinelli (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Giovanni Aminti (Author) - CNR Ivalsa, Italy
Natascia Magagnotti (Author) - University of the Sunshine Coast - Faculty of Arts, Business and Law
Fabio De Francesco (Author) - CNR Ivalsa, Italy
Publication details: Forests, Vol.9(3), 111
Publisher: MDPI AG
Date published: 2018
DOI: 10.3390/f9030111
ISSN: 1999-4907
Copyright note: Copyright © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Organisation Unit: University of the Sunshine Coast, Queensland; Forest Industries Research Centre; Forest Research Institute
Language: English
Record Identifier: 99450746402621
Output Type: Journal article

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Web Of Science research areas: Forestry

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