• Title/Summary/Keyword: Analyzing accidents

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A Study on the Analysis of Engine Accidents on Fishing Vessels (어선 기관손상 사고 분석에 관한 연구)

  • Kim, K.J.;Koh, D.K.;Kim, Y.S.;Kim, J.H.;Ahn, S.H.
    • Journal of Power System Engineering
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    • v.5 no.3
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    • pp.25-30
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    • 2001
  • The basis of all approaches to improve reliability of marine engines exists in analyzing the field data of troubles and failures in marine engines. In this paper, we analyzed the engine accidents of Korean fishing vessels for five years from 1995 to 1999, firstly according to engine systems, type of fishing vessels, engine makers, cylinder number, engine power and tonnage, secondly by using of principal component analysis method, one of multi-variate data analysis method. Finally, we proposed the measures to reduce engine accidents of fishing vessels for improvement of an environment in fishing industry.

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A study for the industrial accident prevention in the press working (프레스 작업의 산업재해 예방에 관한 연구)

  • 정재수;정수일
    • Proceedings of the Safety Management and Science Conference
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    • 2001.05a
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    • pp.31-37
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    • 2001
  • The purpose of this paper is to supply the principal methods for the safety in the press industrial accident preventions and the basic analyzing theory in the press industrial accidents. It was reached the press machine installed companys and was analyzed the accident characteristics, types, the worker's working period and the distributed worker's age of the happened the press machine industrial accidents. The direct reasons are almost reasons of the press industrial accidents. But it should be not ignore the indirect reasons of the accidents In this study, it was presented that the safety devices is selected by the analyzed reasons in the press industrial accidents for the principal accident prevention.

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A study for the industrial accident prevention in the press working (프레스 작업의 산업재해 예방에 관한 연구)

  • 정재수;정수일
    • Journal of the Korea Safety Management & Science
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    • v.3 no.2
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    • pp.91-103
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    • 2001
  • The purpose of this paper is to supply the principal methods for the safety in the press industrial accident preventions and the basic analyzing theory in the press industrial accidents. It was reached the press machine installed companys and was analyzed the accident characteristics, types, the worker's working period and the distributed worker's age of the happened the press machine industrial accidents. The direct reasons are almost reasons of the press industrial accidents. But it should be not ignore the indirect reasons of the accidents In this study, it was presented that the safety devices is selected by the amalyzed reasons in the press industrial accidents for the principal accident prevention.

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Text-mining based Cause Analysis of Accidents at Workplaces in Korea (텍스트 마이닝 기법을 활용한 우리나라 산업재해의 원인분석)

  • Choi, Gi Heung
    • Journal of the Korean Society of Safety
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    • v.37 no.3
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    • pp.9-15
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    • 2022
  • The analysis of the causes of accidents in workplaces where machines and tools are used is essential to improve the effectiveness and efficiency of safety prevention policies in places of employment in Korea. The causes of workplace accidents are not fully understood mainly due to difficulties in analyzing available descriptive information. This study focuses on the automated accident cause analysis in workplaces based on the accident abstracts found in industrial accident reports written in an unstructured descriptive format. The method proposed in this paper is based on text data mining and uses the keyword search function of Excel software to automate the analysis. The analysis results indicate that the primary reason for the frequency of accidents is related to technical aspects at a stage in which dangerous situations occur in the workplace. Accidents due to managerial causes are typically observed when danger exists in the workplace; however, managerial actions play a more important role in reducing accident severity. A small company tends to use unsafe machines and devices, leading to further accidents due to technical causes, whereas managerial causes are more conspicuous as the company grows. To preclude the occurrence of accidents due to inadequate knowledge, the implementation of safety management and the provision of safety education to elderly workers at the early stage of their employment are particularly important for small companies with less than 100 workers.

HFACS-K: A Method for Analyzing Human Error-Related Accidents in Manufacturing Systems: Development and Case Study (제조업의 인적오류 관련 사고분석을 위한 HFACS-K의 개발 및 사례연구)

  • Lim, Jae Geun;Choi, Joung Dock;Kang, Tae Won;Kim, Byung Chul;Ham, Dong-Han
    • Journal of the Korean Society of Safety
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    • v.35 no.4
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    • pp.64-73
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    • 2020
  • As Korean government and safety-related organizations make continuous efforts to reduce the number of industrial accidents, accident rate has steadily declined since 2010, thereby recording 0.48% in 2017. However, the number of fatalities due to industrial accidents was 1,987 in 2017, which means that more efforts should be made to reduce the number of industrial accidents. As an essential activity for enhancing the system safety, accident analysis can be effectively used for reducing the number of industrial accidents. Accident analysis aims to understand the process of an accident scenario and to identify the plausible causes of the accident. Accident analysis offers useful information for developing measures for preventing the recurrence of an accident or its similar accidents. However, it seems that the current practice of accident analysis in Korean manufacturing companies takes a simplistic accident model, which is based on a linear and deterministic cause-effect relation. Considering the actual complexities underlying accidents, this would be problematic; it could be more significant in the case of human error-related accidents. Accordingly, it is necessary to use a more elaborated accident model for addressing the complexity and nature of human-error related accidents more systematically. Regarding this, HFACS(Human Factors Analysis and Classification System) can be a viable accident analysis method. It is based on the Swiss cheese model and offers a range of causal factors of a human error-related accident, some of which can be judged as the plausible causes of an accident. HFACS has been widely used in several work domains(e.g. aviation and rail industry) and can be effectively used in Korean industries. However, as HFACS was originally developed in aviation industry, the taxonomy of causal factors may not be easily applied to accidents in Korean industries, particularly manufacturing companies. In addition, the typical characteristics of Korean industries need to be reflected as well. With this issue in mind, we developed HFACS-K as a method for analyzing accidents happening in Korean industries. This paper reports the process of developing HFACS-K, the structure and contents of HFACS-K, and a case study for demonstrating its usefulness.

The Research on the effect of School Safety Management System on Accident in School -Based on study of high schools in Seoul- (학교사고에 영향을 미치는 학교안전 관리구조 실태 조사 -서울시 일부 고등학생을 대상으로-)

  • 박지은;이명선
    • Korean Journal of Health Education and Promotion
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    • v.19 no.2
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    • pp.57-72
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    • 2002
  • Students spend most of their time in school. Schools have the possibility of unanticipated accidents, however, and the rate of accidents in schools is increasing. The purpose of this study were to understand the accidents that arise in schools as well as the school safety management system and by analyzing affects that school safety management system has on accidents in schools, to come lip with a preventive plan. 906 high school sophomore students attending in Seoul were surveyed 1Tom November 12th to 23rd 2001. The results were following: 1. Students surveyed comprised of the following: Male 48.9%, Female 51.1% Public Schools 32.6%, Private Schools 67.4% Boys Schools 48.9%, Girls Schools 51.1% 2. In the past year, male students had more accidents(p〈.05) in school. 3. In examining students safety management control, 94.0% said that, there is an infirmary, there is a clear distinction between the playing fields and pathways(74.8%), and the chemicals in the labs are kept in a safe manner(77.2%). The above items were generally well maintained. However, the following recorded low scores. There are warning signs in hazardous places and facilities(30.5%), There is guiding principle to examine the safeness on a regular basis(24.9%), and There are slogans and posters preventing accidents(40.3%). 4. In examining the facilities of the schools that were surveyed, the majority answered, yes to the following. There are hazardous facilities or materials at school(62.9%), There are sharp edges in educational supplies and equipment(59.8%), There are nails or other components that are sticking out of desks and chairs(75.9%), There are slippery spots in the corridors and classrooms(69.3%), There are stones, scrap metal, broken glass, and trash on the playing fields(66.6%). Furthermore, the students surveyed said, yes to the following although in low percentages. The amount of sand on the playing fields is sufficient(49.1%), The soccer and basket goal posts are fastened (53.7%), There are safety bars on the windows of classrooms and corridors (27.4%), There are safety mats on the entrance to restrooms preventing slips (14.2%), The stairs have slip protection measures(49.1%). 5. In analyzing the affect that the school safety management system has on accidents in school, schools that had slogans and posters preventing accidents had a 50% less chance of accidents(p〈.05), schools with chemicals and equipment in the labs that were safely maintained had an 80% less probability of accidents(p〈.0l), and the schools that had sharp edges in the educational supplies and equipment had an 80% greater chance of accidents(p〈.01).

Study on Influencing Factors of Traffic Accidents in Urban Tunnel Using Quantification Theory (In Busan Metropolitan City) (수량화 이론을 이용한 도시부 터널 내 교통사고 영향요인에 관한 연구 - 부산광역시를 중심으로 -)

  • Lim, Chang Sik;Choi, Yang Won
    • KSCE Journal of Civil and Environmental Engineering Research
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    • v.35 no.1
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    • pp.173-185
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    • 2015
  • This study aims to investigate the characteristics and types of car accidents and establish a prediction model by analyzing 456 car accidents having occurred in the 11 tunnels in Busan, through statistical analysis techniques. The results of this study can be summarized as below. As a result of analyzing the characteristics of car accidents, it was found that 64.9% of all the car accidents took place in the tunnels between 08:00 and 18:00, which was higher than 45.8 to 46.1% of the car accidents in common roads. As a result of analyzing the types of car accidents, the car-to-car accident type was the majority, and the sole-car accident type in the tunnels was relatively high, compared to that in common roads. Besides, people at the age between 21 and 40 were most involved in car accidents, and in the vehicle type of the first party to car accidents, trucks showed a high proportion, and in the cloud cover, rainy days or cloudy days showed a high proportion unlike clear days. As a result of analyzing the principal components of car accident influence factors, it was found that the first principal components were road, tunnel structure and traffic flow-related factors, the second principal components lighting facility and road structure-related factors, the third principal factors stand-by and lighting facility-related factors, the fourth principal components human and time series-related factors, the fifth principal components human-related factors, the sixth principal components vehicle and traffic flow-related factors, and the seventh principal components meteorological factors. As a result of classifying car accident spots, there were 5 optimized groups classified, and as a result of analyzing each group based on Quantification Theory Type I, it was found that the first group showed low explanation power for the prediction model, while the fourth group showed a middle explanation power and the second, third and fifth groups showed high explanation power for the prediction model. Out of all the items(principal components) over 0.2(a weak correlation) in the partial correlation coefficient absolute value of the prediction model, this study analyzed variables including road environment variables. As a result, main examination items were summarized as proper traffic flow processing, cross-section composition(the width of a road), tunnel structure(the length of a tunnel), the lineal of a road, ventilation facilities and lighting facilities.

Types and Characteristics of Patient Safety Accidents among Hospitalized Children (입원아동의 안전사고 유형과 특성)

  • Kim, Eun Joo;Kim, Geun Myun
    • Journal of Korean Academic Society of Home Health Care Nursing
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    • v.25 no.3
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    • pp.182-190
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    • 2018
  • Purpose: This study was conducted to identify and analyze the types, characteristics, and frequency of patient safety accidents among hospitalized children. Methods: The data were collected from patient safety reports for 0-19-year-old patients from the National Health Insurance Corporation (NHIC) from January 1, 2016 through December 31, 2017. Using Excel software, a pivot table was used to classify and analyze the safety incidents, severity frequency, and characteristics of hospitalized child patients. Results: A total of 254 accident cases were reported involving child patients. The types of reports included medication accidents, falls, test errors, and others. Medication accidents accounted for 47.2% of the total reported cases. Regarding the severity of reported risk, there were no complications nor sequelae in 80.4% of the cases. Conclusion: This study is significant for systematically analyzing and reporting data reported about safety accidents among hospitalized children. These results will contribute further to preventing safety accidents in hospitalized children and to creating a desirable patient safety culture.

Analysis of Trends for Weapon System Accidents Using Social Network Analysis (사회 연결망 분석을 활용한 무기체계 안전사고 동향 분석)

  • Kang, Eonbi;Park, Sanghyun;Kwon, Kiseok;Jeon, Jeonghwan
    • Journal of the Korea Institute of Military Science and Technology
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    • v.25 no.1
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    • pp.82-95
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    • 2022
  • Since military weapon accidents or breakdowns are directly linked to enormous damage, it is important to analyze the causes of weapons system accidents. Recently, in the defense sector, there have been cases in which budget has been saved through analysis of the causes of frequent breakdowns and improvement activities that have occurred in the process of operating weapon systems since 2015. But due to the nature of the defense sector, it is not easy to collect data and studies on weapons system accidents have been insufficient so far. Therefore, this study aims to investigate the causes and types of military weapon accidents by collecting military weapon accident data for military weapon systems and analyzing trends by weapon system classification through the analysis process. It analyzes statistically and visually through social network analysis, NodeXL. It is expected that this study will help improve the stability of the weapon system by reducing the number of military weapon accidents and failures.

A Study on Safety Management for Aging Society (고령화시대를 대비한 안전관리대책 -부산지역을 대상으로-)

  • Chang, Seong-Rok;Kim, Eun-A
    • Journal of the Korean Society of Safety
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    • v.17 no.4
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    • pp.184-188
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    • 2002
  • According to a recent report, Korea first reached aging society in 2000 and it is forecasted that the number of aged people over 65 years old will increase form 7.13%(2000) to 14% or more of total population in Korea in 2022. As many aged peoples are employed as day labor under the financial circumstances after Korean Financial Crisis, it is critical that we should take safety control measures for them. Thus, this study focused on analyzing aged accidents in terms of their characteristics, based on the actual trend of industrial accidents from 1996 to 2001 and the applications of medical treatment for the affected or wounded in Busan metropolitan area for recent 3 years (1999 to 2001) in order to analyze accident characteristics to cope with emergent aging period. As a result of analyzing the above data by job type, it was found that the construction work amounted to 38% of total job type. This result implies that accidents of the aged often occurs in 3D jobs including construction works without reasonable automation, which requires us to establish some preventive policies against those accidents. Moreover, it is found that rapid increasing accidents such as upset or occupational diseases or damages are typically attributed to those in the aged, mainly because the aged employees over 55 years old often have disadvantageous physical conditions such as relatively degraded balance and muscular control ability comparing to the younger. Therefore, it recommended that we should make effective safety policies for the aged and actively apply those policies to them. Moreover, it is required that we should encourage them to actively participate in safety compliance through corresponding trainings.