| Summary: | 碩士 === 國立清華大學 === 工業工程與工程管理學系碩士在職專班 === 104 === The purpose of this study is to simulate the actual work to verify KIM LHC and EAWS checklist applicability and rationality. KIM LHC and EAWS are recent proposed assessment checklist, they are currently more common WMSD(Work-Related Musculoskeletal Disorders) assessment checklist. Summarized the comparison, KIM LHC is a simple tool for WMSD risk assessment and the evaluation results can reasonably reflect the potential risk of musculoskeletal injury.And EAWS assessment can be very exquisite for a variety of posture, force and other hazard factors. It is also applies to the assessment of the risks of composite jobs and have a wider range of applications. Because of these two assessment tools risk level determining range is very similar, so choose these two checklists to experiment to validate its rating point is a reasonable reflection of the degree of fatigue.
This research method is to pick out the different load of work, these eight jobs contains IC warehousing operation、fill the marble gap with glue、stone destroy job、yarn material added、machine operation、rack operation、paint packing、bagged cement transport.After the 10 personnel simulate the these jobs then sorting the degree of fatigue. This sort regarded as the standard to test the applicability of the rating point and risk level of KIM LHC and EAWS.
Experimental results show that the rating point of EAWS of some prolonged standing jobs is higher than KIM LHC because of postures rating point, and it makes the EAWS risk sorting have a difference of two order bits.Therefore, according to the results, the risk scores of KIM LHC seems more reasonable than EAWS. However, the determination of risk level of KIM LHC and EAWS are very similar. It means that the two checklists can effectively distinguish jobs of different risk levels and the results has a very high reference value.
This study is the initial investigate of KIM LHC and EAWS, and the research methods is a roughly comparison.Only compare the KIM LHC and EAWS risk scores and risk level results. The results shows that these two checklists can accurately reflects the level of risk, but EAWS need to be more careful to assess the composte jobs in order to strengthen the reasonableness of the risk score. In this way, that the risk value can be more match with the Subjective feelings of fatigue and that can improve the reliability of EAWS.
Keywords：KIM LHC risk score、EAWS risk score、Subjective feelings of fatigue
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