The emission concentrations of VOC and various odorous compounds were measured from different indoor process units located in 19 companies at the Ban Wall industrial complex from Jun. 2004 to Jan. 2005. The purpose of this study was to investigate the indoor pollution levels of various industrial facilities with respect to bothmalodorous compounds and volatile organic compounds (VOC). We also intended to build the database under the conditions affected by various anthropogenic processes with an aid of a statistical treatment. The three samplingmethods and five analytical techniques were applied tomeasure the sum of up to 32 individual compounds. According to this study, we were able to identify the importance ofmajormalodor compounds which include carbonyl compounds, reduced sulfur compounds, ammonia and trimethylamine. On the other hand, relative contribution of VOC as sources ofmalodor was ofminor significance except such compound as toluene. The overall results of this study thus indicate that the concentration levels of VOC in themanufacturing facilities are high enough to affect indoor laboring conditions.

This paper was concerned about case study for preventing WMDSs(Work-related Musculoskeletal Disorders) by using Thinking Process of TOC(Theory Of Constraints), Unfortunately, the number of WMDSs are rising steadily in auto-part manufacturer. These WMDSs have on worse and worse influence not only on the competition of enterprise but on the life quality of a worker. The research results are helpful to establish the preventing WMDSs and improvement of workplace environments for small-medium sized auto-part company.

After conducting an investigation of a specific workplace, 372 labor workers, who are employed at a certain domestic petrochemical company valve operating and maintenance processing section, were personally questioned about specific work-related ailments. According to the results, 57% of workers who were working in the petrochemical industry have suffered from pain-related musculoskeletal disorders in, at least, more than 1 body part. Specifically, there are more than 28% of workers suffering from pain in more than two body parts. Among the total work population, 18.8 % of workers are assumed to have a high probability of being diagnosed with musculoskeletal disorder. Also, according to the RULA checklist which evaluates environmental improvement conditions of the workplace, 76.7% of workplaces among the inspected areas have high hazardous work factors that are related to musculoskeletal disorder and needs to be improved upon and observed right away or in the foreseeable future. The prior factor has a high correlation and pain rate which is due to an improper work posture. Originally, this improper work posture is caused mostly by ergonomically incorrect facility design. Furthermore, the structure of the workplace does not consider the worker's individual build.

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare algorithms for data analysis of industrial accidents and this paper provides an optimal predicting model of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. Also, this paper provides an approximation model for an optimal predicting model based on NN. The approximation model provided in this study can be utilized for easy interpretation of data analysis using NN. This study uses selected ten independent variables to group injured people according to a dependent variable in a way that reduces variation. In order to find an optimal predicting model among 5 algorithms, a retrospective analysis was performed in 67,278 subjects. The sample for this work chosen from data related to industrial accidents during three years (2002 ~ 2004) in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

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.

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.

본 연구에서는 악취민원이 빈발한 경기도 안산시에 위치한 반월공단의 주거지역과 공단지역 등을 중심으로 주요 관리대상으로 설정된 악취성분들에 대한 환경대기 중 농도분포 특성을 2년여 기간동안 6차례에 걸쳐 조사하였다. 이들의 거동을 이해하기 위해, 시간적(오전과 오후) 및 공간적(공단 내외부의 위치) 기준으로 분포특성에 대한 비교를 시도하였다. 그 결과, 오전시간대에 비해 오후시간대에 고농도 분포가 현저하게 높은 것으로 나타났다. 이와 유사하게 공간적인 기준으로 비교한 결과도 공단 내부에서 관측한 결과에서 대부분의 성분들이 고농도를 유지하는 것을 확인할 수 있었다. 본 연구의 결과는 안산시 주변 및 공단지역의 환경대기 중에 존재하는 악취성분들이 시간적 및 공간적 기준으로 다양한 분포특성을 취한다는 것을 보여주었다.

As public gives more attention on the well being trend, the aim of this study on the Sommelier - an industry profession in the hotel and food service industry is to suggest the educational plan to meet the demand as a professional and to help establish the direction to the effective curriculum. Findings from this study showed that a Sommelier need to possess knowledge in not just wine but in areas such as foreign language, computer, management, hotel and restaurant, global manner, and etc. It was also recommended to authorize the sommelier license as an official and to develop educational entities for sommelier.

So far, there is no technique of quantitative evaluation on danger related to industrial accidents. Therefore, as an endeavor for obtaining technique of quantitative evaluation, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze feature of industrial accidents, a retrospective analysis was performed in 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work chosen from data related to manufacturing businesses during three years (2002~2004) in Korea. The analysis results were very informative since those enable us to know the most important variables such as occurrence type, company size, and occurrence time which can affect injured people. Also, it is found that classification using QUEST algorithm which was performed in this study is very reliable.

Forklift achieves transportation of freight and continues loading and unloading work repeatedly long for hours in industry spot. Therefore, drivers feel tired make a mistake for wrong operation of vehicle caused by continuous work. These components are resulted in CTDs, some industrial accident. That is the forklift need to ergonomics access. So, in this paper, requirements of forklift user were abstracted using questionnaire, produced important design factor for pedal and lever using QFD(Quality Function Deployment), and then suggested ergonomic considerations for industrial accident prevention.

The present study has investigated the patterns and the causes of safety -accidents on the accident-data in semiconductor Industries through near miss report the cases in the advanced companies. The ratio of incomplete actions to incomplete state was 4 to 6 as the cases of accidents in semiconductor industries in the respect of Human-ware, Hard- ware, Environment-ware and System-ware. The ratio of Human to machine in the attributes of semiconductor accident was 4 to 1. The study also investigated correlation among the system related to production, accident, losses and time. In semiconductor industry, we found that pattern of safety-accident analysis is organized potential, interaction, complexity, medium. Therefore, this study find out that semiconductor model consists of organization, individual, task, machine, environment and system.

According to Granger causality test, yield of Cooperate Bond and export amount of Machinery have a meaning at statistical Confidence level of 10%. In case of index of the unit cost of export and export amount of Machinery, they have an interactive Granger cause. In yen dollar exchange rate and export amount of Machinery, former variable gives an unilateral Granger cause to latter that. Also, call rate gives an unilateral Granger cause to export amount of Machinery. In case of M3 & export amount of Machinery, former variable have an influence on latter that at 5% Confidence level.

ISO 9000 is a management standard that provides customers with assurance thu their registered suppliers have a consistent quality system to which they adhere. this paper draws on four sources to show how ISO 9000 can lead to performance improvement. 1)theories of induces innovation and improvisation 2) the literature on ISO 9000 3) a case study of a telecom company. we find that the extent to which ISO 9000 is associated with performance improvement depends on the level of its assimilation, and the degree to which an organization goes beyond the minimal requirements of the standard.

건설업계는 제조업과 특성이 달라 여러 가지 문제점이 엿보인다. 특히, 건설업 근골격계 질환에 대한 연구 및 지원은 별로 찾아볼 수가 없다. 근골격계 질환의 제조업과 건설업의 비율을 보았을 때 "2004 산업재해분석" 요양자 업종별 분포를 보면 제조업이 3,281명(79.79%)로 건설업의 63명(1.53%)보다 월등히 많은 것으로 조사되었다. 이는 미국의 사례를 보았을 때, 2007년 업종별 분포를 보면 건설업이 42,867명(26.20%), 제조업이 101,437명(36.23%)로 우리나라에 비해 건설업 근골격계 질환자가 상대적으로 많은 것으로 조사되었다. 이는 건설업에서의 근골격계 부담 작업 실태조사 등을 통하면 제도적 문제점이나, 근로자가 몰라서 질병에 이환되는 경우가 아닌가 한다. 건설업 근로자들은 건설업 특성상 근골격계 질환예방을 위한 도구를 거의 사용하지 못하고, 작업의 연속성, 지속성이 떨어지므로 부자연스럽고, 불편한 자세를 작업을 위해 수시로 반복하여 취할 수 밖에 없다. 따라서 건설업체에 중대재해를 줄이기 위한 노력 뿐 만 아니라, 열악한 건설업체의 근로자의 근골격계 질환 예방에 대한 제도적인 지원과 안전담당자 교육, 근로자에 대한 근골격계 질환 예방교육(스트레칭, 작업 자세, 동작, 근력강화, 적절한 휴식시간 부여) 등 대책이 절실히 필요하고 하겠다.

Multi-criteria decision making is deducing the relative importance in the criterion of decision making and each alternative which is able to making a variety of choices measures the preferred degree in the series of low-raking criterions. Moreover, this is possible by synthesizing them systematically. In general, a fundamental problem decision maker solve for multi-criteria decision making is evaluating a set of activities which are considered as the target logically, and this kind of work is evaluated and synthesized by various criterions of the value which a chain of activities usually hold in common. In this paper, we are the eigenvector methods in weights calculating. For the purpose of making optimal decision, the data of five different car models are used. For computing, we used Visual Numerica Version 1.0 software package.

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms 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) with ROC chart, lift chart and response threshold. In this study, data on 67,278 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.