• Journal of the Korea Safety Management & Science
• /
• v.9 no.3
• /
• pp.29-40
• /
• 2007

The state and its proper countermeasures of unreported industrial accidents in Gyungbuk area was investigated throughout a survey research. The goal of the study was to identify major factors that affect the number and causes of unreported accidents. Results from the survey indicated that significant number of unreported accidents exists especially in the small and medium sized industries. Types of the accidents, amount of increase in the insurance cost and level of the governmental enforcement due to the accidents were the major factors for deciding whether to report or not. These results suggested more compromising actions have to be taken by the government for revealing the present but unreported industrial accidents. A more efficient way for preventing the industrial accidents can be considered on the basis of true understanding about real industrial accident statistics.

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

• Fire Science and Engineering
• /
• v.26 no.1
• /
• pp.38-42
• /
• 2012

Major industrial accidents such as fires, explosions and toxic releases have occurred in Ulsan, Yeosu petrochemical complex area every year. In this study, we analyzed the causes of the previous major accidents in order to provide reasonable measures for safety regulations and process safety management. Consequently, It is necessary to make constant revisions of safety regulations and to improve process safety management in other to prevent major industrial accidents in the petrochemical complex areas.

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

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

• Journal of the Korean Society of Safety
• /
• v.31 no.4
• /
• pp.27-34
• /
• 2016

Process Safety Management (PSM) system was introduced since 1996 and it makes voluntarily organizing and managing chemical accident prevention system by company itself that contributes to reduce the chemical accidents. However, large or small scaled chemical accidents had occurred frequently in these days. This trend is brought up the necessity to analyze and improve PSM system. In this study, it was conducted by the questionnaire survey and workshop for prevention of major industrial accidents in PSM sites in order to collect extensive opinions from all walks of life and identify overall operation condition. It was proposed to establish improvement plan of implementing condition assessment in PSM system. By results of the study, company's voluntary safety management will be induced by improved PSM system and management plan and it expects to prevent the major industrial accidents.

• Journal of the Korean Society of Safety
• /
• v.27 no.2
• /
• pp.42-48
• /
• 2012

The present study was motivated by the needs to make diversified scientific approaches toward influential factors like human, technical, organization, policy and environmental on the basis of the specialized information concerning the cause for industrial accidents in a measure to prevent the falling accident which has the biggest priority among the three major frequent industrial accidents. In this connection, diverse policies have been practiced in the meantime, with little effects in fact to reduce occurrence of industrial accidents, seemingly because such policies have been practiced on the direct dimension, instead of tries to nip in the bud of fundamental causes. This study was thus conducted with a view to determine the causes that have influence on falling accidents from the overall context and unearth the factors requiring management with priority. For this aim, "Fall from Height"(2003), a study by HSE, UK was applied to various conditions of korea as an experiment to search for fundamental causes for falling accidents. The major findings of this study might be summed up as exploring a main critical path that has influence upon falling accidents and suggesting effective ways to cut down through the critical path.

• Journal of the Korea Safety Management & Science
• /
• v.25 no.2
• /
• pp.39-48
• /
• 2023

Recently, the crisis of demographic extinction is rising in Korea more than any other country, and it is difficult for industrial sites to maintain without 'foreign workers'. Industrial accidents and accident deaths of foreign workers account for 7.6% and 12.3% of the total, through an in-depth analysis of fatal accidents in the manufacturing industry, differences and similarities between fatal accidents of foreign workers and all fatal accidents were confirmed in terms of occurrence type, workplace size, length of service, employment type, etc. In this study, customized countermeasures were found.

• International Journal of Safety
• /
• v.5 no.1
• /
• pp.37-41
• /
• 2006

The major objective of the statistical analysis about industrial accidents is to determine the safety factors so that it is possible to prevent or decrease the number of future accidents by educating those who work in a given industrial field in safety management. So far, however, there exists no quantitative method for evaluating danger related to industrial accidents. Therefore, as a method for developing quantitative evaluation technique, this study presents feature analysis of industrial accidents in manufacturing field using QUEST algorithm. In order to analyze features of industrial accidents, a retrospective analysis was performed on 10,536 subjects (10,313 injured people, 223 deaths). The sample for this work was chosen from data related to manufacturing businesses during a three-year period ($2002{\sim}2004$) in Korea. This study used AnswerTree of SPSS and the analysis results enabled us to determine the most important variables that can affect injured people such as the occurrence type, the company size, and the time of occurrence. Also, it was found that the classification system adopted in the present study using QUEST algorithm is quite reliable.

• Journal of the Korean Society of Safety
• /
• v.33 no.5
• /
• pp.101-108
• /
• 2018

This study was carried out to obtain baseline data on the causes of industrial accidents and their prevention by investigating structural models between the Shipyard workers' egogram ego-states (CP: Critical Parent, NP: Nurturing Parent, A: Adult, FC: Free Child, AC: Adapted Child), safe and unsafe behaviors, and industrial accidents (frequency/severity). In order to achieve this goal, 378 workers from 3 locations of major corporations in Geojedo Island and Ulsan took a questionnaire, which was then analyzed with a structural equation model using the SPSS 23.0 and AMOS 24 statistics package, and the main results of the study are as follows. First, NP and A's ego-states had a positive influence on safe behavior, AC's ego-state had a negative influence on safe behavior, and A's ego-state had the largest influence on safe behavior. Second, CP and AC's ego-states had a positive influence on unsafe behavior, and A's ego-state had a negative influence on unsafe behavior. AC's ego-state had the largest influence on unsafe behavior. Third, safe behavior did not have a significant influence on industrial accidents. However, unsafe behavior had a positive influence on industrial accident frequency and industrial accident severity, both sub-factors of industrial accidents. This study, despite its limitations, such as sampling limitations, has the following significance. First, this study verified that ego-state, a psychological characteristic, is an important factor for predicting unsafe behavior that induces industrial accidents. Second, in order to reduce industrial accidents, there is a need to stimulate the A ego-states, and promote continuous safety management and safety education to neutralize the AC ego-state. Third, previous studies were limited in the area of practical methods for reducing unsafe behaviors, but this study presents practical methods for reducing unsafe behaviors by verifying the structural relationship between safe/unsafe behaviors and industrial accidents by selecting ego-gram ego-states, variable personality theory, as an independent variable.