AHP를 이용한 기업별 안전평가 기법에 관한 연구
A Study on the Method of Safety Condition Evaluation using Analytic Hierarchy Process
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초록
In the current domestic, many industrial accidents have happened. And these are analyzed according to several factors. But it isdifficult that they evaluate their business safety. Thus, we conducted a study on business specific safety assessment techniques inorder that business know their safety level and perform appropriative safety activities. Study methods are survey and AHP (AnalyticHierarchy Process). Each specific weighting factors to calculate the survey was conducted for safety and consulting experts (20 persons). Weight factor was used to AHP decision support as one of the ways through a number of alternatives to the ratings for theMinesota Multiphasic. Factors are each type of industry, specific industrial scale, disaster type and strength, worker age and tenureperiod, and region. First, survey was conducted with 20 professionals to estimate the weighting factors. Weights between factors usingthe AHP analysis tool based on the mean values were calculated. Second, last 3 years between the industrial accidents statistics wereused to calculate the weights for each of the rating factors in the Occupational Safety and Health Agency. Grade weights between eachfactor which was based on the rating of each factor was calculated as the average of three years. Finally, the weights between eachfactor and the grade weights for each factor using the safety level of the enterprise were calculated so that you can evaluate theweighting.
Abstract
In the current domestic, many industrial accidents have happened. And these are analyzed according to several factors. But it isdifficult that they evaluate their business safety. Thus, we conducted a study on business specific safety assessment techniques inorder that business know their safety level and perform appropriative safety activities. Study methods are survey and AHP (AnalyticHierarchy Process). Each specific weighting factors to calculate the survey was conducted for safety and consulting experts (20 persons). Weight factor was used to AHP decision support as one of the ways through a number of alternatives to the ratings for theMinesota Multiphasic. Factors are each type of industry, specific industrial scale, disaster type and strength, worker age and tenureperiod, and region. First, survey was conducted with 20 professionals to estimate the weighting factors. Weights between factors usingthe AHP analysis tool based on the mean values were calculated. Second, last 3 years between the industrial accidents statistics wereused to calculate the weights for each of the rating factors in the Occupational Safety and Health Agency. Grade weights between eachfactor which was based on the rating of each factor was calculated as the average of three years. Finally, the weights between eachfactor and the grade weights for each factor using the safety level of the enterprise were calculated so that you can evaluate theweighting.
참고문헌 (6)
- Byungin, G., "Disaster Statistical Analysis Using Multivariate Analysis Techniques", Spring Conference of the Korean Society of Safety, 40 (1999)
- 송선옥, "AHP기법을 이용한 국제물류주선인업체의 정기해운선사 선택요인에 관한 연구", 통상정보연구, 13(2), pp.95~117 (2011), 한국통상정보학회
- 배승종, "AHP 기법에 의한 농촌어메니티 가치 평가 모델 개발", 한국농공학회논문집, 49(5), pp.33~44 (2007), 한국농공학회
- 박장호, "AHP 기법을 이용한 교량상부구조의 VE 검토", 한국안전학회지, 24(6), pp.79~85 (2009), 한국안전학회
- 이종빈, "AHP를 이용한 조선업 선종별 위험도 및 안전관리 수요 예산에 관한 연구", 한국안전학회지, 27(1), pp.105~110 (2012), 한국안전학회
- Korea Occupational Safety and Health Agency, "2008- 2010, Analysis of Industrial Accidents (in Korean)", ~ (2010)