Investigation of oil palm harvesters' postures using RULA analysis

Manual workers in agricultural industry are frequently exposed to work related discomfort and pain while performing their work tasks. This leads to common health problems such as Work-related Musculoskeletal Disorders (WMSDs) which occur due to the feeling of discomfort while performing daily tasks,...

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Main Authors: Deros, B.M., Khamis, N.K., Mohamad, D., Kabilmiharbi, N., Daruis, D.D.I.
Format: Conference Proceeding
Language:en_US
Published: 2017
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spelling my.uniten.dspace-59602018-01-26T02:56:10Z Investigation of oil palm harvesters' postures using RULA analysis Deros, B.M. Khamis, N.K. Mohamad, D. Kabilmiharbi, N. Daruis, D.D.I. Manual workers in agricultural industry are frequently exposed to work related discomfort and pain while performing their work tasks. This leads to common health problems such as Work-related Musculoskeletal Disorders (WMSDs) which occur due to the feeling of discomfort while performing daily tasks, which in turn affect their work performance. An interview was conducted with three palm oil harvesters to gather information regarding their body part discomfort and general view on working conditions. Consequently, a video camera was used to record the postures and movements of these harvesters while performing their tasks. The Digital Human Modeling Software (DHMS) was used to analyze the postures by using Rapid Upper Limb Assessment (RULA) analysis. The findings showed that the harvesters experienced body part discomfort mainly on the upper body limbs. Based on the RULA analysis, all recorded postures were unsafe hence immediate actions should be implemented to ensure safe and comfortable working conditions. The main problems were their repetitive movements, awkward postures and heavy tools used when performing the work tasks. Necessary actions should be taken to minimize work risk. © 2014 IEEE. 2017-12-08T07:45:38Z 2017-12-08T07:45:38Z 2015 Conference Proceeding 10.1109/IECBES.2014.7047504 en_US In IECBES 2014, Conference Proceedings - 2014 IEEE Conference on Biomedical Engineering and Sciences: "Miri, Where Engineering in Medicine and Biology and Humanity Meet" (pp. 287-290). [7047504] Institute of Electrical and Electronics Engineers Inc.
institution Universiti Tenaga Nasional
building UNITEN Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Tenaga Nasional
content_source UNITEN Institutional Repository
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language en_US
description Manual workers in agricultural industry are frequently exposed to work related discomfort and pain while performing their work tasks. This leads to common health problems such as Work-related Musculoskeletal Disorders (WMSDs) which occur due to the feeling of discomfort while performing daily tasks, which in turn affect their work performance. An interview was conducted with three palm oil harvesters to gather information regarding their body part discomfort and general view on working conditions. Consequently, a video camera was used to record the postures and movements of these harvesters while performing their tasks. The Digital Human Modeling Software (DHMS) was used to analyze the postures by using Rapid Upper Limb Assessment (RULA) analysis. The findings showed that the harvesters experienced body part discomfort mainly on the upper body limbs. Based on the RULA analysis, all recorded postures were unsafe hence immediate actions should be implemented to ensure safe and comfortable working conditions. The main problems were their repetitive movements, awkward postures and heavy tools used when performing the work tasks. Necessary actions should be taken to minimize work risk. © 2014 IEEE.
format Conference Proceeding
author Deros, B.M.
Khamis, N.K.
Mohamad, D.
Kabilmiharbi, N.
Daruis, D.D.I.
spellingShingle Deros, B.M.
Khamis, N.K.
Mohamad, D.
Kabilmiharbi, N.
Daruis, D.D.I.
Investigation of oil palm harvesters' postures using RULA analysis
author_facet Deros, B.M.
Khamis, N.K.
Mohamad, D.
Kabilmiharbi, N.
Daruis, D.D.I.
author_sort Deros, B.M.
title Investigation of oil palm harvesters' postures using RULA analysis
title_short Investigation of oil palm harvesters' postures using RULA analysis
title_full Investigation of oil palm harvesters' postures using RULA analysis
title_fullStr Investigation of oil palm harvesters' postures using RULA analysis
title_full_unstemmed Investigation of oil palm harvesters' postures using RULA analysis
title_sort investigation of oil palm harvesters' postures using rula analysis
publishDate 2017
_version_ 1644493809996791808
score 13.222552