• Journal of the Ergonomics Society of Korea
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• v.29 no.5
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• pp.751-762
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• 2010

The purpose of this study was to investigate the job stress factors of aircraft composite material part manufacturing workers using survey based on 'Job stress factors evaluation tool for Koreans' that was developed by KOSHA in 2003. Two hundred and fifty workers participated in this study, and among them 204 responses were analyzed for this study due to the unreliability and insincerity of responses. The eight job stress factors which are physical environment, job autonomy, job insecurity, organizational system, workplace culture, unfair compensation, relationship conflict, and job requirement were analyzed. The results showed that the stress level of the six job stress factors which are physical environment, job autonomy, job insecurity, organizational system, workplace culture, unfair compensation was relatively higher than that of other industry workers. Generally, all eight job stress factors showed higher stress with temporary workers than with permanent workers, and especially job autonomy, job insecurity, organizational system, and unfair compensation factors showed statistically significant differences (p<0.05). Since the temporary workers are insecure with their job, weak position in organization, having little self-control for the job and lower pay level than that of permanent workers though the job is as same as permanent workers', the stress level of above job stress factors would be much higher than that of the other factors. The group of unsatisfactory with workplace showed higher job stress than group of satisfactory with workplace in all job stress factors, as expected, at the statistically significance level (p<0.05). From the results of this study, the work loss due to the job stress could be prevented, and accurate stress factors could be removed at the workplace. Also the job stress management program can be implemented to improve the work efficiency and the workers' quality of life.

• Journal of the Korea Safety Management & Science
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• v.16 no.4
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• pp.63-69
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• 2014

The large-sized, complex, and multi-storied construction industry caused the increasing construction amount together with insufficient skilled workers to increase the probability of occurring accident, resulting in the most construction accidents next to manufacturing industry. Death accidents have risen to serious level, compared construction industry with manufacturing industry along the numbers of workers. Due to the main feature of one-time industry receiving orders, open-air dispersed production activity and the long-complex production process, the continuous efforts to prevent and manage safety accidents were made but the results were of no effect. They didn't deeply analyze the falling accidents that consist of half death accidents in construction industry. This study has classified in detail Missteps, Slip, Trip, Unstability and the others on the basis of gait characteristics, occurrence types, frequency and intensity of death accidents. This study suggested the effective methods on the construction safety management according to the causes of falling accidents. This study will be expect to be used as the basic data in the procedure and the program of safety management.

• Journal of the Korean Society for Precision Engineering
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• v.34 no.1
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• pp.13-17
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• 2017

The sectors of the Root industry include casting, plastic works, welding, surface treatment, and heat treatment. While the industry is concerned with the processing technologies that are used in most of the manufacturing industries, the sophistication of the corresponding manufacturing information systems is very low. This paper describes a manufacturing information system for the building sector for which the smartphone devices that the workers use in their daily lives are employed, and where the cost of the adaption of the manufacturing system at their factories is minimized. The proposed system consists of the following three parts: UI composer, General Application, and Gateway.

• Journal of the Korean Society of Systems Engineering
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• v.11 no.2
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• pp.41-49
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• 2015

Industrial safety is one of the crucial agenda for Government as well as Manufacturing Industry. To cope with the needs, a great deal of policies and technical implementation have been proposed and implemented. With a great increasing attention on the Industry 4.0 and Smart Factory, industrial safety has received as a crucial agenda by the manufacturing industry in particular. Up until now, almost all of them have been made from the environmental aspects, rather than operator or workers. In this paper, we present our research results how to increase the workers' safety via smart factory technology, such as IoT and CPS. Our approach has been to see the problem from SE perspectives, to draw the real issues from the various stakeholders, and define how to solve the problem based on the emerging technologies. The developed systems can give conceptual framework for the 'smart' industrial safety system by providing solution architecture for how to monitor the location of workers, and moving equipments, and generate solutions how to avoid safety problems between them if detected.

• Proceedings of the Korean Society for Noise and Vibration Engineering Conference
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• 2014.10a
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• pp.698-698
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• 2014

According to the analysis of special medical examination and work environment monitoring data, the rate of C1 and D1 on noise hazard exceeded 90% among those of total hazardous factors. The rate of company exceeding noise exposure limit was also more than 90%. The analysis result shows that main ages diagnosed with C1 and D1 was age of 50s. The majority scale company having workers diagnosed with C1 and D1 was the companies employing 5~49 workers. Types of industries which have a large number of companies exceeding noise exposure limit were automobile and trailer manufacturing, metal processing industry and primary metal manufacturing. A large number of work processes exceeding noise exposure limit were forming and processing work, cutting and bending work and grinding. To reduce the number of company exceeding noise exposure limit, the reduction counterplan should be focused on the type of industry and the work process which exceeded noise exposure limit frequently. However, the reduction counterplan is preemptively necessary to the type of industry and the work process which exceeded noise exposure limit consecutively if the purpose of reduction counterplan is not to merely reduce the number of company exceeding noise exposure limit but to abate workers' suffering from noise.

• Journal of the Korean Institute of Gas
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• v.25 no.2
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• pp.52-63
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• 2021

Analysis of risky behavior factors for workers in the manufacturing industry enables effective human error prevention and systemization of an efficient safety management system. This study examines the relationship between the effects of workers' work psychology, work environment, and work deviation factors on risky behavior intentions and the effects of such risky behavior intentions on risky behaviors. Among the small and medium-sized manufacturing industries, the analysis was focused on a survey of 80 workers in the manufacturing and processing industry. Looking at the results, it was found that work psychology and work deviation had an effect on the intention of risky behavior, but the work environment factors corresponding to job satisfaction and workload did not affect the intention of risky behavior. The relationship with colleagues, the degree of satisfaction or dissatisfaction with the job, the degree of importance of the job that the worker feels, and the tightness of time to digest a large amount of work do not affect intentionally inducing dangerous work, but they do affect risky behavior. In the absence of intention, the work environment factor was found to accompany dangerous behavior.

• IE interfaces
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• v.12 no.4
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• pp.595-601
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• 1999

Accident analyses are used to identify common factors contributing to occupational accidents and to give recommendations for accident prevention. This study concerns with the accident characteristics and safety management in the small manufacturing industry. To investigate the accident characteristics, we used workers' compensation reports and employers' accident analysis reports. Two hundred and thirty injury accidents which results in more than 4 days absence were surveyed from the manufacturing companies with under 100 employees. The actual safety problems experienced today in the small manufacturing were also examined by interview method with safety engineers. We propose the safety management programs based on the accident characteristics and the actual safety problems. These results can be used to develop more effective occupational safety and health management policies in the small manufacturing industry.

• The Korean Journal of Health Service Management
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• v.13 no.2
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• pp.121-133
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• 2019

Objectives: The purpose of this study was to determine the effectiveness of hand acupressure in relieving shoulder pain among male manufacturing workers. Methods: A nonequivalent control group was employed using a nonsynchronized design. Data were collected from two manufacturing plants located in metropolitan area U. The data were analyzed with a ${\chi}^2$-test and an independent t-test to perform a homogeneity test, and with repeated ANOVA measures to perform an hypothesis test using the SPSS 21.0 program. Results: Hypothesis 1 that "the experimental group provided with hand moxibustion would score lower for low shoulder pain than the control group" was supported (F=306.05, p<.001). Hypothesis 2, that "the experimental group provided with hand moxibustion would have a wider range of motion than the control group" was also supported with increased flexion(F=7.73, p<.001), extension(F=7.89, p=.001), abduction(F=21.23, p<.001), and horizontal abduction(F=20.89, p=.028). Hypothesis 3, that "the experimental group provided with hand moxibustion would score lower for quality of sleep than the control group" was not supported (F=56.10, p=.091). Conclusions: Hand moxibustion is effective in relieving shoulder pain for male manufacturing workers, in relieving low shoulder pain and increasing the range of motion.

• Korean Journal of Occupational Health Nursing
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• v.9 no.2
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• pp.110-120
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• 2000

The purpose of this study was to examine which factors affected the job stress of workers in the manufacturing industry. The subjects were 128 workers in automobile component manufacturing companies located in Kyonggi-do province. Data were collected through self-reporting technique for 8 days, October 24-31, 2000. The instrument to test the work related truss was NIOSH's Work-related Stress Inventory revised by Korea Occupational Safety and Health Association(KOSHA) in 1999. The collected data were analysed with SAS. and frequency, percentage, mean value, standard deviation, t-test, ANOVA. Scheffe's post hoc test and Pearson's Correlation Coefficients. The major findings were as follows: 1. Mean job stress score for the job-related stress was $2.6{\pm}0.5$ on the basis of 5.0 points. Job stress was significantly different according to gender. The stress by role conflict showed higher score than the stress by role ambiguity. 2. Discretionary power(freedom to determine) of workers was scored $2.6{\pm}0.7$ on the basis of 5.0 points. And it was significantly different according to gender, duration of work and shift experience. 3. The work environment scored $2.2{\pm}0.3$ on the basis of 3.0 points and significant difference according to gender, age, marital status, type of employment, type of service, and shift work. 4. Role ambiguity showed significant negatively correlate with job control(r=-.32, P=.000) and decision making(r=-.31, P=.000). And decision making showed positively correlated with job control(r=.62, P=.000), and role conflict(r=.26, P=.003).

• Journal of Korean Society of Occupational and Environmental Hygiene
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• v.22 no.3
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• pp.244-256
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• 2012

Objectives: This study was conducted to assess the level of depression and its association with sociodemographic characteristics and health related characteristics, job-related characteristics, sleep quality, occupational stress among manufacturing male immigrant worker in Korea. Methods: Total number of subject were 287 workers employed in 19 manufacturing industry. A structured self-administered questionnaire was used to assess each responder's sociodemographic and health related characteristics, job-related characteristics, sleep quality (PSQI), Korean occupational stress (KOSS), Depression (CES-D). The job stress questionna ire was used according to KOSS-26 and depression symptoms were measured using CES-D, which was translated into Korean. We used multiple logistic regression analysis to assess the relationship between risk factors included job stress, sleep quality and depression. Results: The prevalence of depression in survey subjects was 63.9%and poor group (PSQI) (5 point and over at PSQI score)among all subjects were 83.28%. Adjusting for confounding factor, higher the occupational stress (KOSS), depression levels were significantly higher (${\beta}=0.5575$), worse quality of sleep, the more depressed the level was slightly high ${\beta}=0.118$) did not reach statistical significance. Conclusions: The prevalence of depressive symptoms among the study subjects was higher than that among the Korean workers. Especially, the level of depression was more influenced by occupational stress than quality of sleep. Therefore, the author recommend to prepare the effective strategy for reducing the depression and also reducing the occupational stress among immigrant male workers, and the author consider that it need to support the convenient working environment such as consultation for difficulty or health care among immigrant male workers.