• 한국안전학회지
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• 제29권4호
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• pp.168-171
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• 2014

The job stress is rising as a social issue in all industries. So many manufacturing companies have been trying to prevent the job stress. Recently, the job stress is the important cause which lead to WMSDs, depressive disorder, anxiety disorder and sleep disturbance. However, the cause of the job stress is very variety. So management is very difficult. The purpose of this study is to investigate the group of the job stress by Karasek model from workers in auto part manufacturing company. The survey was using Karasek job stress model and was administered to 181 workers of auto part manufacturing company. Job demand median and job decision median was in 30.0 and 50.0. From this study, following results were obtained. 1) The gender of workers according to the groups of job stress was statistically significant(p<0.05). 2) The duration of working of workers according to the groups of job stress was statistically significant(p<0.05). 3) The intensity of work of workers according to the groups of job stress was statistically significant(p<0.01). The result of this study will help to identify the group of job stress and improve personal coping ability, systematic measure of company.

• 산업공학
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• 제12권2호
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• pp.329-336
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• 1999

Job efficiency and productivity of a manufacturing system with frequent job schedule changes are affected by performance of information system between job order planners anti manufacturing device operators. This paper describes implementation of concurrent information system which can active identify machine status and dispatch job orders to operators in a machine shop. Client and server environment for various machinery is implemented using OSI based network between shop floor control system and manufacturing devices. Portability and scalability are among many characteristics of the implemented system. The developed client and server system is expected to realize high productivity for manufacturing device.

• 대한안전경영과학회지
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• 제18권2호
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• pp.73-81
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• 2016

In manufacturing company, safety is a important issue because it can cause many cost and problems of company. So reduce safety accident can increase manufacturing company's productivity. Safety accident has close relationship with employee's behavior, which is 'safety behavior'. In this study, researcher try to find out role of leader-member exchange and employee's job commitment effect on safety behavior in manufacturing company. A total of 279 responses were collected from manufacturing company's employees. The result of this empirical study show us that leader-member exchange has positive effect on employee's job commitment and safety behaviot. And job commitment has positive effect on safety behavior. Base on this empirical result, researcher provide critics and manageric implication for manufacturing companies.

• 한국콘텐츠학회논문지
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• 제18권9호
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• pp.217-230
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• 2018

제조업의 기술고도화에 따라 생산직 근무자들에게 요구되는 직무역량은 과거의 숙련도 중심에서 전문기술과 지식으로까지 확대되고 있어 인력과 역량 관리에 대한 패러다임이 변해야 경쟁력 유지와 안정적인 조직 운용이 가능한 상황이다. 다양한 분야에서 직무역량이 직무만족에 긍정적인 영향을 미친다는 연구 결과가 존재하지만 제조업 생산직 근무자들의 직무역량에 대한 연구자들의 시각은 숙련도에 국한되어 왔으며 이에 따라 생산직 근무자들의 확장된 직무역량에 대한 연구가 필요한 상황이다. 이에 본 연구에서는 제조 환경의 변화가 빠른 S기업의 가전제품 조립 공장의 생산직 근무자들을 대상으로 직무지식과 숙련도가 이직 의도에 미치는 영향과 직무만족의 매개효과를 실증 분석하였다. 분석 결과 생산직 근무자들의 직무지식, 숙련도는 직무만족에 긍정적인 영향을 주고 직무만족은 이직의도에 영향을 주는 것으로 확인되었다. 이는 최근 변화된 제조업 생산 조직의 역할을 배경으로 그 구성원들의 직무지식과 이직의도와의 관계를 측정함으로써 제조 근무자들의 직무역량 관리에 대한 기초 자료를 제공하는데 의의가 있다.

• 한국안전학회지
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• 제28권1호
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• pp.102-108
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• 2013

This study aimed to examine the impact of workers' perceptions of the safety climate on job satisfaction and intention to turnover in the manufacturing industry. Data was collected from employees(n=143) working in the manufacturing industry. The perceived safety climate included perceptions of the safety commitment of the management, safety leadership of the immediate supervisor, and safety policy. Hierarchical regressions were conducted to identify the significance of the relation between the sub-variable of the perceived safety climate and job satisfaction, and intention to turnover. The results show that safety commitment and safety policy are significant predictors of job satisfaction. The immediate supervisor's safety leadership was significantly correlated with intention to turnover. These results indicated that the perceived safety climate of workers in the manufacturing industry might influence job satisfaction and intention to turnover. Therefore, organizations in the manufacturing industry should focus on improving safety climates to enhance job satisfaction and prevent employee turnover.

• 한국직업건강간호학회지
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• 제17권1호
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• pp.34-44
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• 2008

Purpose: This study was conducted to find out the effects of self-efficacy on job stress symptoms and coping strategies depending on perceived job stress. Method: The subjects were 447 workers employed in a manufacturing company. Demographic characteristics, self-efficacy, job stress, job stress symptoms and coping strategies were assessed by a self-administered questionnaire. Each envelope to keep the secret sealed completed questionnaires. Result: Job stress and job stress symptoms in workers with a high level of self-efficacy were lower than those of a low level of self-efficacy. Active coping strategies in workers with a high level of self-efficacy group were higher than those of a low level of self-efficacy. In multiple regression analysis, job stress symptoms were significantly higher in increasing job stress, increasing self-efficacy, office workers, manager group and increasing age. Active coping strategies were significantly higher in increasing self-efficacy, increasing career, males and decreasing job stress. Whereas passive coping strategies were significantly higher in females, increasing job stress and increasing self-efficacy. Conclusion: This study suggests that self-efficacy is a significant factor on job stress, job stress symptoms and coping strategies. Therefore, developing a job stress management program to increase self-efficacy and verifying its effects are needed.

• 한국직업건강간호학회지
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• 제26권3호
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• pp.172-183
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• 2017

Purpose: This study was conducted to investigate factors affecting the job embeddedness of workers in the manufacturing industry. Methods: The survey was conducted on 261 workers of the manufacturing industry in P city and Y city with the help of a structured self-report questionnaire, administered between June 10 and June 30, 2017. Data were analyzed using descriptive statistics, a t-test, ANOVA, a $Scheff{\acute{e}}s$ test, Pearson's correlation coefficients, and stepwise multiple regression. Results: There were significant differences in job embeddedness according to educational level, marital status, jobs and types of employment, satisfaction with salary, stress level, and the perceived health status of the subjects. There were significant positive correlations between role clarity of job demands (r=.45), leader member exchange (r=.48), recovery experience from job stress (r=.27), and job embeddedness. From the multiple regression analysis, the most significant factors affecting job embeddedness were found to be leader member exchange (${\beta}=.43$), recovery experience from job stress (${\beta}=.22$), and job demand (${\beta}=.15$). These variables explained 35.0% of the total variance in job embeddedness. Conclusion: In order to increase job embeddedness of workers in the manufacturing industry, it is necessary to prepare measures to increase job demand, leader member exchange, and recovery experience from job stress.

• 대한산업공학회지
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• 제23권3호
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• pp.501-514
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• 1997

Manufacturing is fast entering a new age of industrial excellence that is being called "Agile Manufacturing." The goal of Agile Manufacturing is to link customers, suppliers, and the manufacturing system into a super-efficient confederation to produce a variety of products quickly and at a low cost. In order to improve the quality of the study of production input control(PIC) in a job shop manufacturing system by reducing the significant gap between research models and models of actual manufacturing systems, the previous line of research on PICs in a job shop manufacturing system is extended by integrating customers and suppliers with the manufacturing system. Then, a set of measures is developed to evaluate PICs, measures that reflect concerns of customers and suppliers as well as concerns of the manufacturer. Also, a weighted overall measure (with various cases to represent different possible weights of manufacturer's emphasis on the performance measures) is used to synthesize all the performance measures. Then, for each case, various existing PICs are evaluated in combination with various priority dispatching rules(PDRs).

• 대한인간공학회지
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• 제26권1호
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• pp.55-61
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• 2007

The purpose of this study is to assess the welfare level for shift workers by means of their satisfactions to the jobs in manufacturing environment. As a measurement tool of job satisfaction, we use the JDI(Job Descriptive Index) which can ensure reliability and are widely used. Measurement factors are investigated by means of the duty, payment, promotion, supervisor, co-workers, and general job satisfaction of shift workers. For the application of job satisfaction, 109 workers, 12-hour shift workers in domestic five companies related with manufacturing industry are considered. They treat general facilities in night shift work. The result of this study may be used as a strategic data of welfare policy for improving the welfare level of shift workers.

• Annals of Occupational and Environmental Medicine
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• 제35권
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• pp.12.1-12.12
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• 2023

Background: The purpose of this study is to investigate the relationship between job stress and impaired fasting glycemia (IFG) of male workers in a manufacturing industry. Methods: Data were collected from 5,886 male workers in a manufacturing industry who participated in the medical examination from June 19 to August 14, 2020 through self-reported questionnaires. The general characteristics of the subjects, shift work, high blood pressure, dyslipidemia, and job stress were included. Job stress was measured using the Korean Occupational Stress Scale (KOSS) consisting of 8 items and 43 questions. Multivariable logistic regression analysis was used to investigate the IFG association with job stress. Results: Among the various factors that can cause job stress, only high job demand was associated with a risk of IFG (odds ratio, 1.43; 95% confidence interval, 1.13-1.82) especially in non-shift worker. For all other factors, no statistically significant results were obtained. Conclusions: In this study of male workers engaged in the Korean steel manufacturing industry, the 'job demand' item among job stress of non-shift worker was related to IFG.