• Journal of the Korean Society of Safety
• /
• v.33 no.1
• /
• pp.16-21
• /
• 2018

Cause analysis of accidents associated with industrial machines and devices is essential to improve the effectiveness and the efficiency of industrial safety system in Korea. This study focuses on cause analysis of accidents associated with industrial machines and devices. In particular, analysis of abstracts of accidents which are written in descriptive format and, therefore, inherently unstructured and exhibits characteristics of big data is suggested and tested. Automatic analysis of such big data performed in this study reveals the consistent results with the manual analysis results in previous studies. Analysis results also suggest that incorporating transition from the current user-oriented indirect regulations to more manufacturer and user balanced direct regulations will guarantee more effective prevention of industrial accidents at the early stage of generation of danger.

• Journal of the Ergonomics Society of Korea
• /
• v.23 no.4
• /
• pp.23-34
• /
• 2004

The importance of the industrial safety has been growing gradually as well as the prevention activities on industrial accidents. Industrial accident rates have been decreasing by the prevention activities. However, the fatal industrial accidents such as the death tend to increase and risk per accident has increased. The previous studies on the industrial accidents focus on the entire accidents. However, these studies are lacking for the fatal industrial accidents such as the death. The purpose of this paper is to analyze the characteristics and trend of death which occurred by industrial accident, based on the real data of deaths collected last 5 years from 1999 to 2003 in korea. This paper suggests a analysis method using MDS(MultiDimensional Scaling) that considers accidents variables and properties simultaneously. We evaluate MDPREF (Multidimensional Analysis of Preference Data), one of the MDS analysis, to know the relations between the type of industry and region as well as the type of industry and occupation. This paper finds the type of industry which has high possibilities of death by regional groups. In addition, we find the type of occupation which has high possibilities of death by the type of industry. These findings indicate that industrial classification should be differently controled according to type of occupation and region.

• Korean Journal of Occupational Health Nursing
• /
• v.20 no.1
• /
• pp.93-103
• /
• 2011

Purpose: This study was conducted to assess reported industrial accidents and non-reported industrial accidents that took place in 63 small and medium sized manufacturing industries located in Daegu and Gyeongsangbuk-do in the year of 2009. Methods: During the period from January to December 2009, the number of industrial accidents that happened each month was examined according to the characteristics of industry, industrial accidents, workers with industrial accidents, treatment, as well as causes and treatment of the non-reported. Results: The total incidence rate of industrial accidents was 3.48%, of which only 0.31% reported. The incidence rate in packing and distribution among manufacturing workplace, and in the industry with 50~99 employees, was higher than the other groups. Of the non-reported, over 80% in required under 10 days of medical treatment, and 56% in required cost of less than 100,000 won. Kappa values were 0.771 concurrence in opinions for causes of non-reported, and 0.571 concurrence in opinions for management termination of non-reported between the employees and employer. Conclusion: It is suggested that more supportive policy and precise, nationwide survey on the actual state of industrial accidents, including non-reported cases, be implemented to efficiently manage industrial accidents.

• Safety and Health at Work
• /
• v.13 no.1
• /
• pp.32-39
• /
• 2022

Background: Industrial accidents can determine the overall level and quality of the work environment in industries and companies that contribute to national economic development. Korea has transformed the country from an international aid recipient to a donor country, but it has ranked first among the Organisation for Economic Co-operation and Development member countries in the number of fatal industrial accidents. Little has been known about the policy effects in terms of the workers' insurance for their industrial accidents and rehabilitation. This study raises two research questions about the influence of workers' personal characteristics and vocational rehabilitation services on their return to workplaces. Methods: The study implements weighted logistic regression analysis using propensity score matching. This research utilizes the relevant dataset (3,924 persons) of Korea's industrial accident and insurance. Results: The findings show that the level of workers' awareness of health recovery and their counseling for rehabilitation by physicians had positive effects on their return to work. Environmental factors such as workers' job stability at the time of industrial accidents and the temporal effects of industrial accidents (e.g., the level of disability, their age) had negative impacts on their return to work. Conclusions: These findings have policy implications that the concentration of rehabilitation services for patients who have been mildly affected by industrial accidents would be effective in the short and medium term. The findings also highlight the necessity of ongoing policies about workers' vocational recovery with concrete evidence about policy impacts.

• Journal of Korean Society of Industrial and Systems Engineering
• /
• v.17 no.29
• /
• pp.1-12
• /
• 1994

The main purpose of this study was to investigat and analyse the causes of occurance of industrial accidents in Korea. In the study all statistical data regarding dangerens materials or parts, injured positions, primary and secondly causes of accidents, and people's interest of safety, etc., were obtained from 1, 027 various industry which have move more than one hundred employees. Especially, in the study, I tried to grasp essential causes and tendencies of occurances of industrial accidents relased to the various situstions, and to set up preventive method and policies scietifically.

• Safety and Health at Work
• /
• v.12 no.2
• /
• pp.261-267
• /
• 2021

Background: The series of serious industrial accidents in recent years at contractors to large companies has highlighted risk outsourcing as a real and urgent problem. This study aims to review the difference in the degree of risk exposure and the occurrence of industrial accidents depending on the type of company relations. Among in-house contractors, the focus will be on those handling hazardous chemicals that include companies for which outsourcing requires approval. Methods: This study uses the 9th wave of the Industrial Safety and Health Survey (2018). For determining the degree of risk exposure, the occurrence of industrial accidents, and industrial accident rate, multivariate, logistic, and fractional logit, regression analyses were used, respectively. Results: First, In-house contractors' degree of risk exposure is higher than that of the client companies. In particular, this gap is even greater for companies dealing with chemicals. Second, among only those that handle hazardous chemicals, in-house contractors do show a significantly higher rate of industrial accident occurrence. Third, In-house contractors have a significantly higher rate of industrial accidents from diseases than client companies. Conclusion: The analysis supports the intent of the legal amendment that strengthens the protection of in-house contracted workers who handle hazardous chemicals. Second, the results of this study suggest that safety and health management must go beyond legal compliance and ensure that it has substance and effectiveness. Last, there should be policy consideration is necessary to reduce attempts to hide industrial accidents.

• Journal of the Korean Society of Safety
• /
• v.20 no.1 s.69
• /
• pp.137-142
• /
• 2005

This study aims to survey the fatal industrial accidents attributed to crane, and to present their preventive measures based on the results of the survey. The survey was on the basis of 60 fatal accidents caused by crane from January 1998 to July 2003. The results showed that 1) of varying types of crane, fatal accidents were most frequently caused by mobile no: 2) more crane accidents occurred on weekend of Friday and Saturday by a day of the week; 3) experienced crane operators with long length of work or the age of over 40 were more frequently subjected to fatal accidents compared to novice operators; and 4) crane accidents were more attributable to unsafe acts such as poor working method, non-observance for safe working rules, etc. than hardware aspects of crane itself. It is recommended that for reducing crane accidents, more practical education and training for crane operation be reinforced.

• 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 Korea Safety Management & Science
• /
• v.19 no.4
• /
• pp.77-85
• /
• 2017

As industrialization progresses, mass production becomes a smart production system. However, industrial accidents do not decline, and during the course of industrialization, due to the logic of economic agents that have an economical and effective employment environment, they are changed to non-regular workers. The Occupational Safety and Health Act stipulates that the safety managers must be distinguished and the safety managers perform the task of conducting industrial accidents by balancing the duties and regulations specified in the Act on Special Measures for Deregulation. Safety administrators providing advice on issues needed to prevent industrial accidents and preventive measures We would like to present the problems and improvements that may arise due to safety managers' replacement due to accidents caused by industrial accidents or accidents.

• Industry Promotion Research
• /
• v.5 no.1
• /
• pp.1-11
• /
• 2020

The purpose of this study is to analyze the industrial accidents data with survival model. EDA approach is used to explore the relationship between two variables and among three variables for the past 10 years of industrial accidents data. Survival models are also tried. Survival curve drops more rapidly for the business with fewer employees as time goes by. Industrial accidents occur more often as the total number of industrial accidents gets larger and as the number of employees gets smaller. Agriculture, fishing and forestry have a higher level of industrial accidents than construction while service industry and 'transportation·storage and telecommunication' have a fewer number of industrial accidents than construction. Korea Safety and Health Agency's and Ministry of Employment and Labor's involvement were not effective but Civilian's was. Recurrent event data analysis reveals all most the same result as for non-recurrent data analysis.