• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.4
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• pp.329-336
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• 2012

Objectives: The aim of this study is to analyze main problems on occupational safety and hygiene in construction sites and to suggest some improvement methods. In order to decrease industrial accidents, I emphasize the approach paradigm shifts according to characteristics of construction workers. Methods: Pointing out the irrationality of current institutions by comparing bad outcomes of occupational safety and hygiene in construction industry and characteristics of construction workers. Results: In order to decrease industrial accidents, we need some approach paradigm shifts; the supply method of industrial safety and health fundamentals on the construction industry level, the accident rate calculation by using the actual construction workforce instead of an estimation, institutionalizing the prevention efforts themselves for industrial accidents, securing enough production costs for the precondition of occupational safety and hygiene in construction sites. Conclusions: I ascertain the need of the approach paradigm shifts for decreasing industrial accidents in the construction industry.

• Journal of Preventive Medicine and Public Health
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• v.22 no.3 s.27
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• pp.355-367
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• 1989

This study examined the physical and mental health factors affecting the industrial accidents of 142 injured and 1,212 uninjured workers in the shipbuilding industry from 1986 to 1988. The results acquired from the Todai Health Index (THI) and from analysis of the health examination were as follows: 1. Among the personal characteristics of the workers, the educational level of injured workers was significantly lower than that of the uninjured workers. 2. Among the physical characteristics, vision and $R\ddot{o}hrer$ Index of the injured workers were lower than those of the uninjured workers, and the difference was statistically significant. On the other hand, the differences in height, weight, hearing function, hematocrit, blood pressure, urine test, and X-ray findings were not statistically significant between the injured and uninjured workers. 3. The score of the THI questionnaire on the physical and mental health of the injured workers was higher than that of the uninjured workers, and the difference was statistically significant. 4. Form the THI score, the industrial workers had complained more about mental health than physical health and there was a statistically singinficant relation with the industrial accidents. 5. The relative risk expressed in terms of the odds ratio was 2.9 for poorer vision, 2.7 for a lower educational level, 2.2 for a higher THI score and 1.6 for overdrinking. 6 Educational level, vision, and the THI score were selected as significant factors influencing industrial accidents based on a log-linear model. According to the results of this model by logistic analysis, the odds ratio of industrial accidents was 1.8 for a lower educational level, 1.7 for poorer vision, and 1.6 for a higher THI score. 7 By event history analysis with the dependent variable as the duration of work at the time of the industrial accident, educational level, age, $R\ddot{o}hrer$ Index and THI score were the statistically significant variables selected, and the hazard rate of industrial accident occurrence was 0.24 for a lower educational level, 0.92 for age, 0.99 for a lower $R\ddot{o}hrer$ Index and 2.72 for a higher THI score. As we have seen, educational level and THI score were the most significant factors affecting the hazard rate of industrial accidents. Vision, $R\ddot{o}hrer$ Index, age, and drinking behavior were also statistically significant variables influencing industrial accidents. Therefore, in order to prevent industrial accidents, it is necessary to establish a health management plan for industry which can objectively evaluate not only the physical but also the mental health of the workers. If we use this type of study as a prospective study design, we can determine the relative risk of physical and mental health factors on industrial accidents. Furthermore, it is expected that this type of study will provide workers at high risk with more precise basic data for a health managment plan for industrial accident prevention.

• Journal of the Korea Safety Management & Science
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• v.11 no.2
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• pp.19-26
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• 2009

This study was designed to analyse the performance and the mechanisms of workers' participation and communications in industrial accident prevention activities leading to the reduction of industrial accidents. This study also aimed to find out the causal relationship influencing the promotion of prevention activities of industrial accidents. Of the manufacturing businesses with more than 5 workers as the population of the survey, a questionnaire was conducted with 2,500 workspaces chosen by stratified sampling. Out of 2500 workspaces, 971 workspaces equipped with industrial safety and health committee were analysed in this study. According to the results of this study, the primary influential factors on safety activities were the management of industrial accidents and the cooperations between supervisors and workers on site. The secondary influential factor was the establishment of industrial safety and health committee. Regarding the effectiveness of industrial accident reduction, -0.01 was shown by workplace safety activities by themselves and -0.09 was shown by participation and communications through indirect safety activities. This indicated workers' participation and communications play an important role in the reduction of industrial accidents. By discovering the clue to the mechanism of the workers' participation and communications, this study is expected to stimulate the reduction of industrial accidents by emphasizing the importance of workers' participation and communications in resolving the safety and health problem in the workplaces.

• Journal of Radiation Protection and Research
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• v.37 no.4
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• pp.177-180
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• 2012

Industrial radiography practice is usually employed in public domain. Over the years there are several radiation accidents reported in this practice. The accidents often result in severe or fatal exposures to occupational workers and public. The number of radiation accidents is also significant when compared with other industrial accidents. This paper describes practice specific training as one of the measures to the improve radiation safety and reduce the accidents. The efforts by International Atomic Energy Agency (IAEA) to disseminate information and to improve the radiation safety status in industrial radiography are also discussed.

• Proceedings of the Safety Management and Science Conference
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• 2006.04a
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• pp.51-56
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• 2006

Recently data mining techniques have been used for analysis and classification of data related to industrial accidents. The main objective of this study is to compare performance of algorithms for data analysis of industrial accidents and this paper provides a comparative analysis of 5 kinds of algorithms including CHAID, CART, C4.5, LR (Logistic Regression) and NN (Neural Network) with ROC chart, lift chart and response threshold. In this study, data on 67,278 accidents were analyzed to create risk groups for a number of complications, including the risk of disease and accident. The sample for this work chosen from data related to manufacturing industries during three years $(2002\sim2004)$ in korea. According to the result analysis, NN has excellent performance for data analysis and classification of industrial accidents.

• Journal of the Korean Society of Safety
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• v.34 no.2
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• pp.1-6
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• 2019

This study focuses on the evaluation of severity measures used for accidents associated with industrial machines and devices. In particular, duration of medical treatment, duration of work loss, number of deaths in an individual accident associated with industrial machines and devices are evaluated in various ways to assess the severity of the accident. The number of accidents with work loss of longer than 1 year as the severity measure and the number of accidents as the frequency measure appeared to be the most discriminating information and allow risk assessment based on these frequency and severity measures for grouping of industrial machines and devices. Results of such risk assessment further confirmed the re-classification of industrial machines and devices that are currently subject to safety certification (SC) and self-declaration of conformity (SDC) or selection of those machines and devices that are newly subject to SC and SDC.

• Journal of the Korean Society of Safety
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• v.16 no.4
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• pp.194-199
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• 2001

The present situation of Korea already shone various symptoms of the aged society, and many kinds of data reported by the National Statistical Office demonstrate those facts. However, to my regret, sufficient efforts for aged workers are not taken in the area of industrial safety. In this research, work arrangement and industrial accidents of middle-aged and aged workers over last 5 years were analyzed. According to research results, proportion of industrial accidents involved middle-aged and aged workers was as high as 40%, and that of aged workers alone was so high as 25%. In addition, proportion of accidents were higher than that of worker population f3r aged wetters. Considering ages, it was demonstrated that as workers get older, mean number of accidents shows the tendency of going higher, and that as years go by, mean lost work-days are increasing regardless of age group. Main accident types were Fall followed by Slip, and Work-Related Disease, furthermore proportion of Slip was highest than any other types for aged workers. Based upon these results, it was emphasized thai careful attention should be paid to functional characteristics of aged workers, and that modification of accident prevention policy would be necessary.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2022.10a
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• pp.66-68
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• 2022

Forklift trucks are frequently used in logistics warehouses and factories to transport large amounts of cargo. Among the recent accidents at industrial sites, the number of accidents caused by forklifts was the highest. Most accidents are caused by being hit or caught by forklifts. Various safety devices are being applied to prevent forklift accidents. This paper analyzes the efficiency of introducing a smart control method to prevent industrial accidents that may occur in the operation of forklifts. The smart control method generates an amount of money for initial introduction, but if subsidies are secured through government-supported projects, the burden on the workplace will be reduced. When a smart control method is introduced, it is possible to prevent collisions between workers and forklifts and accidents of trapped forklifts.

• 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.

• IE interfaces
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• v.10 no.2
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• pp.99-107
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• 1997

The purpose of accident analysis is to obtain accurate and objective information about the causes of accidents in order to prevent accidents from reoccurring. This study investigated the characteristics and causes of occupational accidents in Korean industry by comparison with those of Japan and U.S.A The results show that there are some characteristics in the accidents of Korean industry; (1)larger companies tend to have lower accident rates than the smaller ones; (2) inexperience is related to high accident rates; (3) 'awkward or sudden movement' and 'caught in and between object' represents the leading accident type; (4) the body sites most vulnerable to injury are the hands and fingers; and (5) 'fractures' is the leading injury type. These findings identified in this study can be used to prevent the industrial accidents.