This study carried out the investigation about the actual conditions of the management, disaster analysis and safety awareness on excavator in one of construction equipment and tried to make it's preventive measures. To achieve this, first of all, the accident of the internal Construction Industry process Investigation and Analysis, and then analyze an cause of accident based on it. Next, For the conditions of safety management conduct a survey to Investigation and Analysis and Propose preventive measures. The results of this study can be summarized as follows. 1st, Status of safety awareness and management of construction equipment tend to seek quickly and easily for the interests of sight. 2nd, Half the precincts of the equipment is causing major disaster. 3rd, The risk of excavator operation's indicators and drivers is so much potential. 4th, The preventive measures are needed for strengthening safety education, professional legal education, changes in safety awareness, the development of prevention system.

The efficient safety estimation for a business should analyze an accident data by considering every possible and potential factor. Thus, we consider several factors to build the safety estimation model to meet fairness and rationality. This paper present the yearly statistic data of accident from KOSHA analyze the data by industry, scale, year of service of a employee, age and other factors; build the safety estimation model for the business based on the accident report derived the analysis. The estimation model is established by the weights for accident type, degree, scale, industry, year of service, and age of the employee derived from AHP(Analytic Hierarchy Process).

Risk level for each construction work can be very important factors to establish advanced preventionmeasures. But it is important how to produce it. There are three different methods to set it up for consturuction situation. They are as follows; 1) occurrence frequency = the number of accident workers of each work kind / yearly accident workers 2) occurrence frequency = the number of accident workers of each work kind / yearly workers 3) occurrence frequency = the number of accident workers of each work kind / the total workers All these three concepts(=averaged concept)are analyzed. Additionally frequency based on discrete curve, and severity based on continuous curve are also combined for producing risk level with more scientific approach. This risk level can be very useful to make prevention plan or take measures at construction sites. This is study result can change existing risk level concept to new concept of it, namely rail way work and in-water work showed be high risk level and RC work be low risk level, different from the situation which we have thought commonly, so far.

이 연구에서는 최근 20년간(1989-2008년)의 우리나라 기상청 자료를 이용하여 우리나라 남해안의 기상재해를 분석하였다. 주요 분석 결과는 다음과 같다. 20년 동안에 남해안에서 발생한 기상재해는 총 149건으로 연평균 7.5건이었다. 7월이 가장 많았고, 그 다음은 8월, 9월의 순 이었다. 7-9월의 기상재해가 전체의 약 42％를 차지하였다. 계절로 구분해 보면, 여름에 가장 많았고(전체의 약 39％), 그 다음은 가을, 겨울, 봄 의 순이었다. 여름에 기상재해가 가장 많은 것은 주로 태풍과 장마 때문이다. 태풍 중에서도 특히, 남해안을 통과하거나 남해안에 상륙하는 경우 가 대규모의 인적․물적 피해를 입히는 것으로 밝혀졌다. 그와 같은 태풍의 대표적인 예로서는 9112호 글래디스와 0215호 루사 그리고 0314호 매미를 들 수 있다.

Steel and iron manufacture works exist that many latency risk as melting liquid of high temperature, work of high place, and so on. Once in a while, the accident case make use of basic data for latency risk analysis in a place of business. In this paper, we investigated the cause of the accident in steel an iron works. The result, we came across that many latency risk in steel and iron manufacture works. The main type of risk are fall, narrow, come flying, etc. Most of the latency risk type are repetition and conventional accident. Accordingly, steel and manufacture works must prevent to repetition and conventional accident.

The port, differently from general working place, is a closed area to execute security, customs, and quarantine procedures. The loading and unloading is being done differently by cargoes, ships, berths, and equipments. To load and unload a lot of equipments and different types of labor are required, in which work flow is very complicated. As above mentioned the port is very unique and deteriorated working place including danger. Now frequency of cargo handling accidents in port is highest for the second time among all industries. The purpose of this study is to propose ways to analyze and establish the preventive measure for cargo handling accidents in port. We have collected 45 accidents happened at Incheon Port during the period from 2007 to 2009. And the result of analysis, we proposed the new safety management system and safety education to reduce cargo handling accidents and to promote the quality of cargo handling in Incheon Port. Within the framework of effective safety management of cargo handling in port, this study will help to revise and establish system, education, and standard working manual with respect to the port loading and unloading system.

지진을 기록하기 시작한 후로 우리나라에 발생한 지진은 2000회가 넘는 것으로 집계되고 있으며 그 중 48회는 엄청난 피해를 초래한 것으로 나타난다. 지진으로 인한 생산설비나 주요 관로 등의 시설물피해는 특정 지역에 국한되는 것이 아니라 지역간의 상호 의존적 특성에 의해 경제적으로 볼 때 심각한 피해를 주변에 전달하게 된다. 또한 지진과 같이 예측하지 못하는 사건으로 인해 발생하는 경제적 피해는 단순히 시설붕괴 같은 직접적인 손실뿐만 아니라 당해 시설의 보수나 재건에 소요되는 기간을 통틀어 간접적인 손실이 발생하게 됨을 인지해야 한다. 그런데, 지진 등과 같이 예측하지 못한 사건으로 인한 손실과 피해를 입은 시설 등을 보수보강 하거나 재건하는데 필요한 정부투자나 예산지원 금액을 보다 합리적으로 산정하기 위해서는 피해를 입은 지역내부 뿐만 아니라 그 지역이 관계를 맺고 있는 주변지역과의 직 간접 경제적 손실을 제대로 산출해 낼 필요가 있다. 여기서 직접적인 경제손실이라하면 생산시설이나 공급선의 피해로 인해 발생한 수요-공급관계의 1차적 변화를 의미하며, 간접적인 경제손실은 산업구조상 관계를 맺고 있는 다른 부문에서 나타나는 간접적인 변화를 의미한다. 본 논문에서는 지진발생으로 인한 경제적 영향, 특히 우리나라 교통망이 받는 영향을 분석하고자 하였다. 이를 위해 우리나라의 고속도로, 교량 및 경제 관련 자료를 수집하여 사용하였고, 지진 등 예상하지 못한 사건의 발생으로 인한 최종수요의 손실과 부문별 생산품의 흐름을 예측하였다.

의사결정나무 알고리즘은 데이터마이닝 기법중 하나인데 관심이 되는 데이터들에 대하여 분류 및 예측을 가능하게 해준다. 이 기법은 데이터 형태의 특성을 분석할 수 있고 산업재해 형태의 차이점을 찾아내는데 사용될 수 있다. 본 연구에서는 산업재해 데이터의 특성을 파악하고자 C4.5 알고리즘을 사용하였다. 본 연구에서 분석을 위하여 사용된 데이터는 강원도에서 발생한 2년 동안의 산업재해 관련 데이터로서 연구에 적용된 데이터의 수는 19,909개로 구성되어 있다

The port, differently from general working place, is a closed area to execute security, customs, and quarantine procedures. The loading and unloading is being done differently by cargoes, ships, berths, and equipments. To load and unload a lot of equipments and different types of labor are required, in which work flow is very complicated. As above mentioned the port is very unique and deteriorated working place including danger. The purpose of this thesis is to propose ways to analyze and establish the preventive measure for cargo handling accidents in port. We have collected 923 accidents happened at Incheon Port during the period from 1994 to 2003. And to analyze and establish the preventive measure we have employed an advanced 6sigma DMAIC technology presently in spotlight as the best tool for management innovation. For the purpose of effective safety management of cargo handling in port, this thesis will help to revise and establish the law, system, standard, and standard working manual with respect to the port loading and unloading system. Now frequency of cargo handling accidents in port is highest for the second time among all industries, so we proposed the new safety management system to substitute port safety committee and to take full charge of safety in Ministry of Maritime Affairs and Fisheries.

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.

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.

The main objective of this study is to provide feature analysis of industrial accidents in manufacturing industries using CHAID algorithm. In this study, data on 10,536 accidents were analyed to create risk groups, 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. 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 oriental life change unit(LCU) models differ from the western LCU model in human behavior, life style, ideas, culture, and psychology factors. Especially, the cause and effect models by behavior scientific approach method have provided the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results of the oriental LCU model and western LCU model. Especially, the death of parents and death of close friend in Korean LCU model feel more acute stress than the western factors. In the case of Korean LCU models between the unmarried and married workers living in the middle area of Korea, death of parents, change in family member's health, change to different line of work, and change in work hours and condition are significant at the significance level of 5%. The priority of life change factors in these models is approved in the order of death of parents, death of spouse, death of close family member, and death of close friend. Finally, the result of this paper can be easily used in order to minimize the industrial accidents by the job stress with the worker and safety manager in real fields.

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.

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.

The life change unit(LCU) models by behavior scientific approach method are very important in order to minimize industrial accident by the job stress. Especially, these models are analyzed the accident proneness concept through the LCU factors. Therefore this paper describes the analytical results between the Eastern LCU model and Western LCU model and its application. Death of parents, death of close friend, jail term, personal injury or illness between the Eastern LCU models and Western LCU models are different in the human behavior and psychological sides, whereas changes in family member s health are turned out same life ideas. In the case of Korean LCU models between the unmarried and married workers living in the middle area are approved in the order of death of parents, death of spouse, death of close family member, and death of close friend.