Laila, Ahmad (2014) Analysis working posture and psychophysical factor in stamping industry using rula method. Masters thesis, Universiti Teknikal Malaysia Melaka.
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Abstract
Nowadays, many industries unconcerned on ergonomics factor in their employee while doing job in manufacturing process. Stamping is one process in manufacturing industry that involves a lot of works by using position in standing. This study carried out to study working postures or conditions of operators suffering from musculoskeletal disorders, back pain, due to unscientific postures and movements during stamping rocesses others. Besides that, analysis physiological assessment for existing and improved postures or conditions. Workstation design proposal that have just been done for prevent work related musculoskeletal disorder. Apart from that, improvement in working posture or conditions is carried out. These studies use some methods to makes analysis and improvement.Among method used is through studies by using survey questionnaire form and observation in stamping industry. For analysis physiology, method used is Rapid Upper Limb Assessment or RULA form and Recommended Weight Limit or RWL. To get suitable design workstation, data collection needed. Data collection made at workers in stamping department through taking of anthropometry data, then use analysis RULA and Computer-Aided Three-Dimensional Interactive Application or CATIA. Improvement working posture or conditions does by using analysis through CATIA software. After improvement made, score about body posture could be reduced from score that is high to low. This is to giving condition or body posture that is safer when doing works at stamping in industry.
Item Type: | Thesis (Masters) |
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Uncontrolled Keywords: | Ergonomics, Human engineering, Posture |
Subjects: | T Technology > T Technology (General) T Technology > TA Engineering (General). Civil engineering (General) |
Divisions: | Library > Tesis > FKP |
Depositing User: | Norziyana Hanipah |
Date Deposited: | 14 Jul 2015 06:22 |
Last Modified: | 30 Nov 2022 15:40 |
URI: | http://eprints.utem.edu.my/id/eprint/14754 |
Statistic Details: | View Download Statistic |
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