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QFD 기법을 이용한 업무상질병 예방을 위한 근로자 의식분석
임영문,최요한 한국안전학회 2003 한국안전학회지 Vol.18 No.2
There are many and various problems due to a disease in the work. These problems result in serious social problems such as individual and family problem, economical loses of company. The objective of this study is to analyze the worker's consciousness and provide the precautionary measures for prevention of a disease in the work. Also, this paper presents quantitative value of priorities for prevention of a disease in the work using QFD technique. The samples for this study are chosen from the companies with less than 300 employees under charge of the Kangnung Ministry o1 Labor during three months (2002. 3. 2 ~ 2002. 5. 31).
임영문,양은익,민석홍 한국안전학회 2004 한국안전학회지 Vol.19 No.3
Most reinforcements in concrete are constructed by steel. Corrosion of reinforcement is the main cause of damage and early failure of reinforced concrete structures. The corrosion is mainly progressed by the chloride ingress. In general, chloride in concrete can be discriminated by two components, total chloride and free chloride. This paper provides a testing method on the coefficient of chloride diffusion in concrete and the relationship between total chloride and free chloride in concrete for the composition of predicting model on diffusion rate of chloride. In order to complete this predicting model, this study will use chloride penetration characteristic, diffusion coefficient, and experiment of color change on silver nitrate solution. This predicting model is going to help that grasp special quality on salt content inclusion of concrete structure that is exposed in chloride environment. Accurate predicting model can be effectively used not only in selecting of repair time but also in preventing from various deteriorations.
임종한,장성실,김성아,문재동,채창호,홍윤철,김수영,김진석,김영욱,한상환,이혜숙,원종욱,송동빈,하은희,강성규 대한산업의학회 2001 대한직업환경의학회지 Vol.13 No.2
기존의 특수건강진단과 작업환경측정을 통한 직업병 관리가 진폐증, 소음성난청 등의 소수 특정질환에 국한되고 실제 직업병 발생 규모 파악이나 신종 직업병의 발견에 한계를 보인다는 사실은 산업의학전문가들 사이에서도 공감을 이루고 있다. 미국과 영국 등에서의 직업성질환 감시체계에 대한 경험은 우리 나라의 직업성질환 감시체계 구축에도 새로운 자극제가 되면서, 1998년이후 인천, 대전, 여천, 구미, 부울경 지역에서 지역 직업성질환감시체계를 산업보건관리의 중요한 시스템으로 구축하려는 노력이 확산되고 있다. 새로이 구축되어지는 이들 지역 직업성질환 감시체계는 감시하고자 하는 대상질환, 활용 가능한 인적자원 및 자료원, 지역 의료체계의 특수성 등에 따라서 목적과 방법을 달리하면서 독특한 형태로 발전을 하고 있다. 각 지역단위 감시체계들이 그 상황에 맞게 독특한 목적과 전략들을 발전 시키면서도, 향후 발전할 국가적인 차원의 직업성질환 감시체계 구축을 위하여 직업성질환 감시의 기본 전략 등을 공유하는 등의 노력이 필요하다. 환례 정의 및 기본적인 등록 서식의 공유, 직업성질환 감시 자료원의 발굴, 공동의 정보 네트워크 및 직업성질환 감시 데이터베이스 구축 등 직업성질환 감시활동을 지원하기 위한 여러 기초 인프라 구축에 힘을 모아야 할 것이다. 우리 나라에서 직업성질환 감시체계를 성공적으로 구축하기 위해서는 수집된 자료의 질 관리를 위한 직업성질환 감시의 원칙 제정과 감시 전략의 공유 등이 필요하며, 전국적인 직업성질환 감시체계의 하부구조라고 할 수 있는 지역감시체계의 기초 토대 마련과 강화작업이 절실하게 필요하다.
Feature Analysis on Industrial Accidents of Manufacturing Businesses Using QUEST Algorithm
Leem, Young-Moon,Rogers, K.J.,Hwang, Young-Seob The Korean Society of Safety 2006 International Journal of Safety Vol.5 No.1
The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.
임영문(Leem young Moon),유창현(Ryu Chang Hyun) 한국산업경영시스템학회 2006 한국산업경영시스템학회 학술대회 Vol.2006 No.춘계
The data mining technique is an effective instrument for making large datasets accessible and different industrial accident data comparable. Many research studies have been focused on the analysis of industrial accidents in order to reduce them. However most researches used a typical technique for the analysis of data related to industrial accidents. The main objective of this study is to compare algorithms comparison for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network). This study uses selected nine independent variables to group injured people according to a dependent variable in a way that reduces variation. In this study, data on 10,536 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years (2002 ~ 2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.
데이터마이닝 기법을 이용한 제조업에서의 산업재해 특성 분석
임영문(Leem Young Moon),황영섭(Hwang Young Seob) 한국산업경영시스템학회 2006 한국산업경영시스템학회 학술대회 Vol.2006 No.춘계
The main objective of this study is to provide feature analysis of industrial accidents in manufacturing industries using CART algorithm, a data mining technique. In this study, data on 10,536 accidents were analyzed to create risk groups, including the risk of disease and accident. Also, this paper used the gains chart produced by the decision tree. According to the result, gains chart can be used for a risk analysis for industrial accidents management. The sample for this work chosen from data related to manufacturing industries during three years (2002~2004) in Korea. The resulting classification rules have been incorporated into development of a developed database tool to help quantify associated risks and act as an early warning system to individual industrial accident in manufacturing industries.