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研究生: 曾文君
Tseng, Wen Chun
論文名稱: EAWS與KIM LHC評核級數合理性之研究
The Rationality Research of EAWS and KIM LHC Rating Point
指導教授: 游志雲
Yu, Chi-Yung
口試委員: 陳志勇
Chen, Chih Yong
陳協慶
Chen, Hsieh-Ching
學位類別: 碩士
Master
系所名稱: 工學院 - 工業工程與工程管理學系碩士在職專班
Industrial Engineering and Engineering Management
論文出版年: 2016
畢業學年度: 104
語文別: 中文
論文頁數: 55
中文關鍵詞: KIM LHC風險值主觀疲勞感受EAWS風險值
外文關鍵詞: KIM LHC risk score, EAWS risk score, Subjective feelings of fatigue
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  • 本研究之目的是以模擬實際工作來檢驗KIM LHC及EAWS 檢核表法的適用性及合理性,KIM LHC與EAWS是為晚近提出的檢核表法,是目前較為普遍應用的全身性職業肌肉骨骼傷害評估方法。整體而言,KIM LHC使用起來較為簡便,其評估結果可合理反映潛在肌肉骨骼傷害風險,而EAWS則可針對多種姿勢、施力大小等危害因子進行十分細膩的評估,且亦適用於評估複合性作業之風險,應用範圍較廣泛。由於此兩種檢核方式風險等級判定範圍十分相仿,故選擇此兩種檢核方式以實驗來驗證其風險值是否合理反映實際作業的疲勞程度。
    本研究方法是挑選出不同體力負荷的工作,內容包含IC入庫作業、大理石補膠、打石作業、紗綑上架、機台操作、掛架操作、油漆裝箱、水泥搬運等八項,以10位作業人員模擬作業後進行主觀評估負荷的排序。以這排序做為標準,來檢驗KIM LHC與EAWS的評估風險值與風險等級之適用性。
    實驗結果顯示,在風險值評估結果方面,由於 EAWS 在需長時間維持站立姿勢的掛架操作項目中反映了姿勢評級的風險等級,造成EAWS的評估結果與主觀疲勞程度排序差異兩個序位,所以就實驗結果來看,KIM LHC所評估之風險值結果之合理性相較於EAWS來的高。而在風險等級判定的結果上,KIM LHC與EAWS於此實驗中之判定結果則十分相似,能夠有效區別出不同工作之間的風險等級,顯示此兩種檢核表之風險等級判定皆有相當高的參考價值。
    本次研究為此兩種檢核方式之初探,研究方法則為較概略之比較,僅針對EAWS及KIM LHC之風險值及風險等級結果相互比較。結果說明了兩種評估方式皆能準確反映作業之風險等級,但在應用EAWS時需留意複合評估風險值之合理性,才能使風險值更能符合主觀疲勞感受,提高其風險值評估之可靠度。


    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

    摘要 i Abstract iii 誌謝 iv 目錄 v 圖目錄 vii 表目錄 viii 第一章 緒論 1 1.1 研究背景與動機 1 1.2 研究目的 5 第二章 文獻探討 6 2.1肌肉骨骼傷害之評估方法概述 6 2.1.1生物力學分析法 6 2.1.2 NIOSH1994抬舉工作指引 8 2.1.3檢核表法 11 2.2早期檢核表評估方法 11 2.2.1 MSDs 人因工程檢核表 11 2.2.2人因工程基準線風險認定檢核表(BRIEF) 14 2.2.3 OWAS工作姿勢分析法 16 2.3近期檢核表評估方法 17 2.3.1 RULA 快速上肢評估法 17 2.3.2 REBA 快速全身評估法 19 2.3.3 ART 上肢重複性作業評估 20 2.4 KIM 關鍵危害指標評估法 22 2.4.1 KIM人工物料處理檢核表( KIM LHC ) 22 2.4.2 KIM人工物料處理檢核表( KIM PP ) 24 2.4.3 KIM 手工物料作業檢核表(KIM MHO) 25 2.5 EAWS檢核表 26 第三章 研究方法 32 3.1 案例工作說明 32 3.2 主觀疲勞程度調查 34 3.3 適用性驗證方式 35 第四章 研究結果 36 4.1主觀疲勞程度調查結果 36 4.2 KIM LHC風險評估結果與分析 37 4.3 EAWS風險評估結果與分析 37 4.4 KIM LHC與EAWS評估結果比較 38 4.5 小結 39 第五章討論與建議 38 參考文獻 41 附錄 44

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