• Korean Journal of Occupational Health Nursing
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• v.29 no.2
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• pp.106-113
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• 2020

Purpose: This study aimed to analyze industrial accident compensation insurance coverage and industrial accidents among concrete mixer truck drivers. Methods: Original data on industrial accidents from 2012 to 2017 were analyzed through descriptive statistics. Results: Industrial accident compensation insurance coverage was 44.6% in 2017. Most concrete mixer truck drivers were affiliated with small businesses. A total of 61 industrial accidents occurred in 2012, 65 in 2014, and 80 in 2017. The major types of industrial accident were falls, slips, and crushes. Conclusion: Because concrete mixer truck drivers are at high risk for industrial accidents, industrial accident compensation insurance coverage and industrial accident prevention should be strongly enforced.

• Safety and Health at Work
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• v.7 no.3
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• pp.213-217
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• 2016

Background: The objective of this study is to identify high-risk groups for industrial accidents by setting up 2003 as the base year and conducting an in-depth analysis of the trends of major industrial accident indexes the index of industrial accident rate, the index of occupational injury rate, the index of occupational illness and disease rate per 10,000 people, and the index of occupational injury fatality rate per 10,000 people for the past 10 years. Methods: This study selected industrial accident victims, who died or received more than 4 days of medical care benefits, due to occupational accidents and diseases occurring at workplaces, subject to the Industrial Accident Compensation Insurance Act, as the study population. Results: According to the trends of four major indexes by workplace characteristics, the whole industry has shown a decreasing tendency in all four major indexes since the base year (2003); as of 2012, the index of industrial accident rate was 67, while the index of occupational injury fatality rate per 10,000 people was 59. Conclusion: The manufacturing industry, age over 50 years and workplaces with more than 50 employees showed a high severity level of occupational accidents. Male workers showed a higher severity level of occupational accidents than female workers. The employment period of < 3 years and newly hired workers with a relatively shorter working period are likely to have more occupational accidents than others. Overall, an industrial accident prevention policy must be established by concentrating all available resources and capacities of these high-risk groups.

• Journal of Environmental Health Sciences
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• v.44 no.6
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• pp.515-523
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• 2018

Objectives: Based on the results of a chemical substance emissions survey, we investigated characteristics of chemical emissions in industrial complexes and used them as basic data for chemical management. Methods: The emissions and characteristics of chemicals by major industrial complexes from 2011 to 2015 were analyzed using the Pollutant Release and Transfer Register homepage. To understand the status of chemical accidents for major chemicals emitted from the industrial complexes, the Chemistry Safety Clearing-house system of the National Institute of Chemical Safety was used. Results: Emissions from the top five industrial complexes accounted for about 30% of total chemical emissions. The chemical emission was the highest in the order of Ulsan Mipo Industrial Complex and Okpo Industrial Complex. The main chemicals emitted were xylene, ethylbenzene, ethyl acetate, toluene, dichloromethane, and others. Carcinogen emissions differed by industrial complex, but ethylbenzene and dichloromethane were the major chemicals for this type of emissions. Conclusion: Recently, the use and emission of chemicals have been continuously increasing. A chemical management plan should be prepared considering the characteristics of industrial complexes and chemical substance emissions.

• Journal of Korean Institute of Industrial Engineers
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• v.6 no.2
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• pp.1-11
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• 1980

The purpose of this study is to attempt a systems approach to press injuries using Fault Tree Analysis. Three major techniques were used: Industrial Accident Dynamics (IAD) by which accident analysis can be made, Fault Tree Analysis (FTA) by which quantification of accident analysis can be made, Computerized Algorithm by which minimal cut set to accident can be identified. A survey has been made of ninety two cases of press injuries from seven industrial firms. All cases of the accident are analyzed using the three techniques. According to the analysis, lack of safety knowledge and improper scaffold seem to be the primal cause of accident. Comparisons of the accident causes to actual accident reports (National Institute of Labor Science) demonstrates that the FTA is a powerful tool for industrial accident prevention. On the basis of this result, some countermeasures are discussed.

• Health Policy and Management
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• v.7 no.2
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• pp.1-18
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• 1997

This study was conducted to analyze patient days and medical care benefits of finger-amputated patients due to industrial accident. The 161 personal data on medical care for finger-amputated patients due to industrial accident(88 in 1994, 73 in 1995) of Regional Labor Office and hospital characteristics were analyzed. The major results of this study were as follows : According to stepwise multiple regression analysis of patient days, number of amputated finger, location of hospital, bed capacity of hospital, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, sick leave benefits per day were the major significant variables in order. In stepwise multiple regression analysis with medical care benefits as a dependent variable, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, number of amputated finger, sick leave benefits per day, age, bed capacity of hospital were the major significant variables in order. The minimum optimal size with the lowest medical care benefits was a hospital with 300 beds. This shows that the economy of scale is also applicable for hospital industry. In summary, presence of plastic surgery in hospital, number of orthopedic specialist per 100 beds, number of amputated finger, sick leave benefits per day, bed capacity of hospital were the major significant variables in both patient days and medical care benefits.

• Journal of the Korean Society of Industry Convergence
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• v.26 no.5
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• pp.757-763
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• 2023

Major industrial accidents in which workers die due to fires or explosions while working at chemical substance handling workplaces continue to occur. Among the major industrial accidents that occurred between 2005 and 2021, the accident status by work situation and equipment was analyzed. Through analysis, it was confirmed that storage, reaction, and piping facilities were the main causes of the accident, and a self-checklist for each facility was developed. Verification was conducted through the supply and use groups to evaluate the suitability of the use, duties, and items of the self-checklist. The user group showed higher satisfaction than the supplier group for all three suitability of use, job, and item. In particular, since the inspection items of the self-checklist were organized around the cause of the accident derived through the analysis of actual accident cases, the satisfaction level was high in all groups. It is expected that the self-checklist developed through this study will be useful not only for large companies but also for small and medium-sized chemical industries that lack professional manpower.

• Journal of Korea Society of Industrial Information Systems
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• v.27 no.6
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• pp.95-103
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• 2022

Quick and accurate understanding of the situation in a severe accident is essential for conducting the appropriate accident management and response using the accident diagnosis information. This study employed deep learning technology to diagnose severe accidents through the major safety parameters transferred from a nuclear power plant (NPP) to AtomCARE. After selecting the major accident scenarios to consider, a learning database was established for particular scenarios affiliated with major scenarios by performing a large number of severe accident analyses using MAAP5 code. The severe accident diagnosis technology, which classifies detailed accident scenarios using the major safety parameters from NPPs, was developed by training it with the established database . Verification and validation were conducted by blind test and principal component analysis. The technology developed in this study is expected to be extended and applied to all severe accident scenarios and be utilized as a base technology for quick and accurate severe accident diagnosis.

• Bulletin of the Korean Institute for Industrial Safety
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• v.1 no.1
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• pp.7-10
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• 2001

화학공장에서 발생되는 중대산업사고(major industrial accident)는 그 영향이 공장내부에만 국한되지 않고 인근 지역의 주민들과 환경에까지 치명적인 영향을 미친다. 이러한 중대산업사고의 원인은 여러 가지가 있을 수 있으나 발열화학 반응공정에서 발생될 수 있는 폭주반응도 그 중 하나이다. 폭주반응에 의한 중대산업사고(major industrial accident)의 대표적인 사례로는 인도의 보팔(Bhopal)에서 methylisocyanate 누출사고와 이탈리아의 세베소(Seveso) 폭발사고를 들 수 있으며 보팔 사고의 경우 사망자수가 2,000명 이상이었고, 20,000명 이상이 부상하였으며, 세베소 사고의 경우 막대한 환경피해를 입혔다.(중략)

• Journal of the Society of Disaster Information
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• v.11 no.4
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• pp.634-638
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• 2015

Four major social safety indexes including industrial accident, traffic accident, fire, and violent crime were selected, and transition of those values by time series data analysis since 2003 was presented. Comparing with the 2003 figure, the index of industrial accident was reduced by 27.8%, which was the most improved safety index. The indicators describing the traffic accident and violent crime rate were reduced by approximately 12%. However, the fire safety index showed an increase of 40% compared with the base year because national fire classification system was changed so that minor fire is also included in the counting since 2006.

• Journal of the Korean Society of Safety
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• v.18 no.4
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• pp.155-163
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• 2003

The intensity of industrial accidents has been increased while the number of industrial accidents has been decreased in theses days. It represents that we need safety guidelines based on personal attributes as well as physical attributes. This study tries to identify major causative factors for industrial accidents and to suggest an evaluation model based on personal attributes. Specifically, relationship between self-efficacy belief associated with industrial safety and other relative personal attributes has been analyzed. First, FGI(Focus Group Interview) was conducted to identify important personal attributes of industrial accidents. The questionnaire was prepared based on the results of FGI and was applied to identifying personal attributes. The relationship between personal attributes identified in this study and self-efficacy belief was assessed using fuzzy logic and fault tree analysis. The results of the assessment showed that self-efficacy belief was closely associated with industrial accidents. Specifically, workers with accident experience had higher level of self-efficacy beliefs than workers without accident experience.