Journal of Korean Society of Occupational and Environmental Hygiene (한국산업보건학회지)

Korean Industrial Hygiene Association (한국산업보건학회)
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Comparison of Three Methods Assessing the Ergonomic Risks of Manual Lifting Tasks at Ship Engine Manufacturing Facilities

선박용 엔진 제조업 들기작업의 인간공학적 위험 평가를 위한 세 가지 방법 비교

  • Kim, Sun Ja (Department of Occupational Health and Safety Engineering, Inje University) ;
  • Shin, Yong Chul (Department of Occupational Health and Safety Engineering, Inje University) ;
  • Kim, Boo Wook (Department of Occupational Health and Safety Engineering, Inje University) ;
  • Kim, Hyun Dong (Department of Occupational Health and Safety Engineering, Inje University) ;
  • Woo, Ji Hoon (Department of Preventive and Occupational Medicine, Pusan National University) ;
  • Kang, Dongmug (Department of Occupational Health and Safety Engineering, Inje University) ;
  • Lee, Hyun Seok (Department of Occupational Health and Safety Engineering, Inje University)
  • 김선자 (인제대학교 보건안전공학과) ;
  • 신용철 (인제대학교 보건안전공학과) ;
  • 김부욱 (인제대학교 보건안전공학과) ;
  • 김현동 (인제대학교 보건안전공학과) ;
  • 우지훈 (부산대학교 의과대학 예방의학교실 및 산업의학교실) ;
  • 강동묵 (인제대학교 보건안전공학과) ;
  • 이현석 (인제대학교 보건안전공학과)
  • Received : 2005.04.27
  • Accepted : 2005.07.25
  • Published : 2005.08.26
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Abstract

A variety of ergonomic assessment methods of lifting tasks known as a major cause of work-related lower back pain have been used. But there is a limited information in choosing the most appropriate assessment method for a particular job and in finding out strengths and weakness of the methods. The purpose of this study was to assess and compare the ergonomic risks of lifting tasks in a marine diesel engine production industry by three lifting ergonomic assessment tools widely used: the National Institute for Occupational Safety and Health(NIOSH) Revised Lifting Equation(NLE), the Washington Administrative Code 296-62-0517(WAC), and the Snook Tables. Lifting index(weight of load/Recommended Weight Limit) of NLE($LI_{NLE}$) was above 1 at 34 tasks(75.6%) of a total number of 45 lifting tasks. LI of WAC($LI_{WAC}$) was above 1 at 11 tasks(24.4 %). LI of Snook Table($LI_{Snook}$) was above 1 at 29 tasks(64.4%). Thus, LI was high in orders of $LI_{NLE}$ > $LI_{Snook}$ > $LI_{WAC}$. There were significantly high correlations among three Lls(p<0.01). The correlation coefficients between $LI_{NLE}$and the other three Lls($LI_{WAC}$ and $LI_{Snook}$) were r=0.93 and r=0.88, respectively. The linear regression equations were y = 0.444x + 0.11(r=0.93) between $LI_{NLE}$ and $LI_{WAC}$, y = 0.93x + 0.008(r=0.88) between LI(NLE) and $LI_{Snook}$. The LI values by WAC was significantly lower than those by the other tools. The compared features, strength and limitation among these tools were described in this paper.

Keywords

References

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