Earticle

The consequences of rapid industrial advancement, diversified types of business and unexpected industrial accidents have caused a lot of damage to many unspecified persons both in a human way and a material way Although various previous studies have been analyzed to prevent industrial accidents, these studies only provide managerial and educational policies using frequency analysis and comparative analysis based on data from past industrial accidents. The main objective of this study is to find an optimal algorithm for data analysis of industrial accidents and this paper provides a comparative analysis of 4 kinds of algorithms including CHAID, CART, C4.5, and QUEST. Decision tree algorithm is utilized to predict results using objective and quantified data as a typical technique of data mining. Enterprise Miner of SAS and AnswerTree of SPSS will be used to evaluate the validity of the results of the four algorithms. The sample for this work chosen from 19,574 data related to construction industries during three years (2002~2004) in Korea.

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

This study delivers the actual condition of investment for industrial accident prevention based on survey of 526 construction sites. The various research techniques were used such as technical statistic analysis for construction industry, construction and civil engineering works, cost comparison of industrial accident prevention and accident loss. A formula was deduced to calculate accident loss and accident frequency by accident prevention cost through regression analysis.

In order for the analysis of effect in the respective preventive measures which is being carried out by a small & medium sized company against any potential accident, this research relates to the followings: We investigated the situation of an accident occurred in the company in which his obligation of selecting a safety manager is exempted, in accordance with the industrial safety & healthcare & enforcement ordinance, enforcement rule. We investigated the situation of an accident occurred in the company which entrusted the specialized organization with his own safety control notwithstanding it is free from an obligation to have any safety manager for aiming at the comparison and analysis of the outcome. The economic and preventive effect of industrial accident has been compared and analyzed in order to strengthen the obligation of selecting a safety manager.

According to Korea was re-elected as ICAO council member state at the 35th session of the assembly, there are more contributions and roles of international aviation society. Being developed technology and grown international transportation, world is focusing to aviation safety, Safety Management System(SMS) is systematic approach to manage risks caused by human and organizational factors. ICAO is specified that 'As of 24 November 2005, certified aerodrome shell have in operation a safety management system.' at Annex 14 to implement it airports as a first step. This study introduced SMS principle, analysed SMS's of advanced states and developed appropriate Korean Aerodrome SMS Model in our cultural and industrial circumstances.

The main objective of the statistical analysis about industrial accidents is to find out what is the dangerous factor in its own industrial field so that it is possible to prevent or decrease the number of the possible accidents by educating those who work in the fields for safety tools. However, so far, there is no technique of quantitative evaluation on danger. Almost all previous researches as to industrial accidents have only relied on the frequency analysis such as the analysis of the constituent ratio on accidents. As an application of data mining technique, this paper presents analysis on the efficiency of the CHAID algorithm to classify types of industrial accidents data and thereby identifies potential weak points in accident risk grouping.

This paper proposes statistically designed experiments which provide a proactive means to implement safety and environmental applications. Minimal experimental designs such as fractional factorial design, Plackett-Burman design, Box-Behnken design are economical and can be achieved tremendous savings with relatively few experiments. These experimental designs and analysis methods are illustrated with cases.

The purpose of the research is to discuss the product safety procedures for the food industry The producer and supplier of the products should satisfy the increasing consumer safety needs. To develop and produce safe products, the food industry must rigorously perform potential hazard findings and very thorough risk analysis to detect even the very minute potential danger. The ultimate product liability rests with the consumer safety and the manufacturer's capability which competes in the market places. This is especially important in the food industry. However, small to medium sized food producing companies are facing challenges in this area due to their overall capabilities. Therefore this research presents safety procedures which are relatively simple to implement.

Achievement degree can be improved by display offering more effective process about cognitive, pattern recognition than making observers use memory, integration, and cognitive process of control. And this research is proved by several scholars' researches [4][5][7][9]. In this study, researches was conducted about cognition according to layout of object in instrument panel. To decide layout of instrument panel, Cognition value was preferentially decided about all location. And then, objects are arranged to correct position of low cognition following the inferior procedure about each location. As a result, we get conclusion that gauge location is taken in high importance order through mechanical importance degree bringing huge damage during driving forklift-truck.

Zohar(1980) emphasized the influence of social, organizational, and psychological context in occupational safety and health study. With this research trend, Neal, Griffin, and Hart(2000) developed a sequential safety climate model. In this paper, author examined the usability of their model the relationships among safety climates, safety knowledge, safety motivation, and safety performance(safety compliance and safety participation). The author conducted a survey to 207 manufacturing workers, and the chief results of statistical analysis are as follows : 1) the leadership has positive effects on safety knowledge and motivation, 2) the precaution activities has only positive on safety knowledge, 3) the safety system has only on safety motivation, 4) the safety knowledge and motivation have positive effects on safety compliance and participation.

In the June, 1991, there was the explosion in which methanol rectified column as a part of the new surface active agent's manufacturing processes. The type of explosion was estimated as the 'detonation'. The methanol rectified column was ruined, and broken pieces of the column were scattered within 900m. Also, there were victims such as the two deads and thirteen wounded persons. The cause of the explosion was heat explosion by being concentrated locally from 0.1% to several tens% of supply fluid at Metal Hydroperoxide, which was produced by methanol and hydrogen peroxide used as the bleach of surface active agent, during the operation stoppage process of methanol rectified column.

자가통제평가(CSA : Control Self Assessment)는 핵심사업 목적을 달성하는데 개입되는 위험 그리고 그러한 사업위험을 관리하기 위하여 설계된 내부통제를 공식적이고 문서화된 협력적 프로세스에 의하여 검토하기 위하여 사용되는 방법론이다. 현재 많은 기업에서 효과적인 조직통제와 비즈니스 프로세스 개선을 위하여 전문 감사인과 경영인들이 기업지배구조 조직의 강력한 위험관리 도구로서 자가통제평가의 필요성을 강조하고 있다. 자가통제평가는 해당 조직의 담당부서나 팀에서 내부통제평가를 통하여 내부통제상의 재무보고, 준법, 사업 및 운영상의 효율성 등을 확보하기 위해서 설치되며, 효과적인 모니터 장치로서 기업지배구조상의 업무 프로세스를 정비하고 업무에서 발생하는 제반 정보의 흐름을 원활하게 해서 조직에게 손해가 발생할 수 있는 여러 가지 위험으로부터 회사를 사전에 차단하는 기능을 한다. 이러한 부분에서 효과적인 자가통제평가 시스템을 구축하는 것이 중요할 것이다. 본 연구에서는 e-Business 관련 기업지배구조의 안전성을 확보하기 위한 자가통제평가 모델에 대한 개발 필요성과 관련 자가통제평가 세가지 기본 모델들을 통하여 장단점을 제시하고, 자가통제평가 모델의 필요성을 논의하였다.

Parametric life-cycle cost(LCC) models have been integrated with traditional design tools, and used in prior work to demonstrate the rapid solution of holistic, analytical tradeoffs between detailed design variations. During early designs stages there may be competing concepts with dramatic differences. Additionally, detailed information is scarce, and decisions must be models. for a diverse range of concepts, and the lack of detailed information make the integration make the integration of traditional LCC models impractical. This paper explores an approximate method for providing preliminary life-cycle cost. Learning algorithms trained using the known characteristics of existing products be approximated quickly during conceptual design without the overhead of defining new models. Artificial neural networks are trained to generalize on product attributes and life cycle cost date from pre-existing LCC studies. The Product attribute data to quickly obtain and LCC for a new and then an application is provided. In additions, the statistical method, called regression analysis, is suggested to predict the LCC. Tests have shown it is possible to predict the life cycle cost, and the comparison results between a learning LCC model and a regression analysis is also shown

This paper presents the practial guide to implementation of reliability distributions. The applicability and property of various reliability distribution will then be illustrated. Main objective of this study is to present how to use reliability distributions summary with respect to the total life cycle management. This paper provides insight info the good aspects of using relability distributions properly.

The ultimate objectives of the six sigma activities are to raise quality of products to the level where customers can be satisfied and to improve marketing efficiency through cost reduction. Recently, many businesses have been struggling to find out the most successful way to implement the six sigma to produce better results. This study is significant in a way that it provides readers with an actual evidence of efficiency and effectiveness of six sigma activities in marketing performance for the first time. The major data of this study can be divided into two categories ; First, secondary data research method was utilized to find out the effects of six sigma management on the quality and marketing performances, theoretically and empirically. Second, test of established hypotheses relevant to the effects of six sigma management on the quality and marketing performance based on the propositions drawn from existing literatures, and test hypotheses statistically. This study of six sigma looked into benefits in manufacturing industry in terms of improving quality, cutting cost and decreasing defection product-defect rate. In addition, the study has verified that how the quality performances can affect the marketing performances, such as enhancing corporate image, sales increase and customer satisfaction. The author believes that this study will help many businesses acquire best methods to increase sales and profits. And, business manager will be able to understand where to focus as they proceed with the six sigma project and improve corporate competitiveness.

Assignable causes producing temporary deviation from the underlying system can influence on process adjustment and process monitoring in dynamic feedback control system. In this paper, the influence of assignable causes on EWMA forecasts and compensatory variables are derived for a dynamic feedback control system. An example is presented to confirm the impact numerically through the analysis of a data.

The most important thing in the garments enterprises is fast reaction. Expecially in the China has both many population and large territory, so each region of China, for instance, northeast, northwest, huanan, huabei, has various climate and considerably different temperature. As a result China garments enterprises require different clothes at the same time. This study build a reliable market-response process as a sub module of SCM that lay emphasis on production and sale cope with specific character of China. This process build a information chain including manufacture-planning, manufacture-ordering, production, arrivals of goods, distribution, sale, sale-evaluation, cross shipment, supplement shipment, and ordering popular goods and similar products. As a result of those, the focused points of this process are real time data gathering and various analysis of data, so it can be possible supporting more faster and more accurate market decision making system and our proposed goal is accomplishment of management profit.

환경의 보호와 지속적인 경영이 전세계 경제시장의 수요로 되었다. 현재 ISO14000은 전세계의 환경관리 방법의 표준으로 되었다. 본 연구는 토론과 ISO14000 전문가들의 의견을 수집하여 13개의 ISO14000중의 성과지표와 9개의 영향 요소를 귀납하여 전형적인 관련 분석을 통하여 ISO14000인증 후의 현저한 관련적 영향요소를 확립하는 것이다.

Overlay parameter control of the semiconductor photolithography process is researched in this paper. Overlay parameters denote the error in superposing the current pattern to the pattern previously created. The reduction of the overlay deviation is one of the key factors in improving the quality of the semiconductor products. The semiconductor process is affected by numerous environment and equipment factors. Through process condition prediction and control, the overlay inaccuracy can be reduced. Generally, three types of process condition change exist; uncontrollable white noise, slowly changing drift, and abrupt condition shift. To effectively control the aforementioned process changes, control scheme using adaptive deadband is proposed. The suggested approach and existing control method are cross evaluated through simulation.