• Journal of the Ergonomics Society of Korea
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• v.34 no.6
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• pp.549-561
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• 2015

Objective: The purpose of this study was to investigate the job stress factors of mobile communication network construction workers using survey based on 'Job stress factors evaluation tool for Koreans' that was developed by KOSHA in 2003. Background: Due to the rapid growth of penetration rate of smartphone, the necessity of LTE service changing from 3G network was brought up. The demand of LTE network construction in a short period of time leads to the aggravation of the job stress of mobile communication network construction workers. Method: Two hundred and fifty workers who were in the mobile communication network industry participated in this study, and among them 206 responses were analyzed for this study due to the unreliability and insincerity of responses. The eight job stress factors which are physical environment, job demand, job autonomy, relation conflict, job instability, organizational system, inadequate compensation, workplace culture were analyzed. Results: The job stress factors of mobile communication network construction workers were compared to those of other industry workers, and other work related characteristics were analyzed. The results showed that the stress level of a physical environment and job requirement were relatively higher than those of manufacturing industry workers, meaning that mobile communication network construction workers have rough working conditions and increased amount of work due to the demand of LTE network construction. The stress level of physical environment for outdoor job workers was relatively higher than that of indoor job workers. With the analytical result for level of job satisfaction, significant difference was observed (p <0.05) with every factor, and the job stress was found the highest with those not satisfied with every factor Conclusion: 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. Application: The results of this study may not represent the whole mobile network construction workers, the effort for job stress management is needed to improve the work efficiency and the workers' quality of life.

• Korean Journal of Occupational Health Nursing
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• v.6 no.2
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• pp.79-95
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• 1997

The purposes of this study were to develop a job stress measurement tool and to identify the job stress according to the characteristics of worker and work condition at the small and medium-sized plants. Data were collected through face-to-face survey for April-May, 1997. Subjects were 180 workers at 36 small and medium-sized plants located near Seoul. Data were analyzed by item analysis, factor analysis, and ANOVA. The results were as follow : 1, Number of items of job stress measurement were 33 and Cronbach's $\alpha$ was .9262 except 13 items with low values of Cronbach's coefficient. Factor analysis was done in order for construct validity and 8 factors were extracted and cumulative percent of variance was 65.6%. 2. The job stress scores of male, the younger, 2-shift workers, and over-time workers were significantly higher than those of female, the older, 1-shift workers, and 48 hour workers per week. 3. There were no significant difference between job stress scores and the groups by number of worker, and the types of manufacturing. The stress measurement tool is valid and very reliable to measure worker's stress. Furthermore, the job stress managent program for health promotion of the workers at the vulnerable work condition is needed more and more.

• The Journal of the Korea Contents Association
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• v.6 no.4
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• pp.125-135
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• 2006

The objective of this study is to verify effects of employees' cognition of their job characteristics in production department of manufacturing companies on production performance and also to verify the moderating effect of the characteristics of managerial accounting information in the relationship between job characteristics and productivity. To achieve this purpose, this study divides the factors of job characteristics into task diversity, task significance, autonomy, and task identity and production performance into flexibility, time, and quality. The results of this study are as follows. First, There is a significant relationship between job characteristics and production performance according to employees' cognition of their job characteristics. Second, There is a significant relationship between job characteristics and production performance according to the characteristics of managerial accounting information.

• Journal of the Korean Operations Research and Management Science Society
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• v.18 no.1
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• pp.119-126
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• 1993

We study a manufacturing process that is quite common in semiconductor wafer fabrication of semiconductor chip production. A machine is used to process a job consisting of J wafers. Each job requires a setup, and the i$_{th}$ setup for a job is sucessful with probability P$_{i}$. The setup is prone to failure, which results in the loss of expensive wafers. Therefore, a tiral run is first conducted on a small batch. If the set up is successful, the test is passed and the balance of the job can be processed. If the setup is unsuccessful, the exposed wafers are lost to scrap and the mask is realigned. The process then repeats on the balance of the job. We call this as send-ahead policy and consider general policies in which the number of wafers that are sent shead depend on the cost of the raw wafer, the sequence of success probabilities, and the balance of the job. We model this process and determine the expected number of good wafers per job,the expected time to process a job, and the long run average throughput. An algorithm to minimize the cost per good wafer subject to a demand constraint is provided.d.d.

• International Journal of Advanced Culture Technology
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• v.12 no.3
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• pp.114-123
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• 2024

The purpose of this study is to identify the mediating effect of social support in the relationship between job stress and stress coping strategies among male workers on a three-shift system. The subjects of the study were 146 male workers working in manufacturing companies with more than 500 employees located in C City, Chungbuk Province, who understood the purpose of the study and agreed to participate. The collected data were analyzed using frequency and percentage, descriptive statistics, Pearson Correlation Coefficient, and multiple regression analysis. Job stress had a significant effect on the mediating variable, social support (β=.34, p<.001), and job stress had a significant effect on the dependent variable, stress coping strategies (β=.41, p<.001). When examining the effect of social support on stress coping strategies (β=.35, p<.001), social support was found to be a significant predictor of stress coping strategies. Therefore, social support plays a mediating role in the relationship between job stress and stress coping strategies among male workers on a three-shift system, and job stress and social support explained 27.4% of the variance in stress coping strategies. Thus, it is necessary to establish a psychological support system that can reduce job stress through active stress coping measures that consider the social support of male workers on a three-shift system.

• Industry Promotion Research
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• v.2 no.1
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• pp.85-91
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• 2017

This study analyzed the effect of NCS - based education and training of small and medium manufacturing on job performance. The results of this study were as follows: First, the effects of NCS education and training on job performance(p<.001, ${\beta}=5.130$) were analyzed. As a result, (p<.01, ${\beta}=3.783$) and on-the-job training had a significant effect on job attitude (p <.05, ${\beta}=-2.448$). (P <.01, ${\beta}=.740$), job skill and collective education (p <.01, ${\beta}=.459$), and job skill (P <.01, ${\beta}=.575$), job attitude and field training (p <.05, ${\beta}=-.320$), collective education and field training (p < .268) were found to be correlated. Third, the analysis of the effect of the age of general characteristics on job attitude showed that the fifties (3.75) had higher attitude than the 20s (3.44), 30s (3.26) and 40s (3.63). The purpose of this study is to investigate the effect of NCS - based education and training on the job performance of small and medium manufacturing industries.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.13 no.9
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• pp.4025-4035
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• 2012

This study was performed to determine the musculoskeletal symptoms and its association with sociodemographic and health related characteristics, job-related characteristics and occupational stress among manufacturing workers. The self-administered questionnaires were given to 856 male workers in randomly selected 62 work places with 50 or less employees in manufacturing industries during the period from October 1st, 2011 to November 30th, 2011. Complaint rates of work-related musculoskeletal symptoms was 82%. In logistic regression analysis, significant factors related with musculoskeletal symptoms were marital status, BMI, subjective health status, alcohol drinking, job position, job tenure, experience of sick absence and visiting out-patient department. In conclusion, the study results suggested that the complain rates of work-related musculoskeletal symptoms of workers in work places of manufacturing industries with 50 or less employees were higher than workers in a large enterprise or the small and medium enterprises and it was related with sociodemographic and health related characteristics, job-related characteristics and occupational stress.

• Journal of the Korea Society for Simulation
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• v.14 no.3
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• pp.91-100
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes a service prediction-based job scheduling model and present its scheduling algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts the next processing time of each processing component and distributes a job to a processing component with minimum processing time. This paper implements the job scheduling model on the DEVS modeling and simulation environment and evaluates its efficiency and reliability. Empirical results, which are compared to conventional scheduling policies, show the usefulness of service prediction-based job scheduling.

• Proceedings of the Korea Society for Simulation Conference
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• 2005.05a
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• pp.29-33
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• 2005

Grid computing is widely applicable to various fields of industry including process control and manufacturing, military command and control, transportation management, and so on. In a viewpoint of application area, grid computing can be classified to three aspects that are computational grid, data grid and access grid. This paper focuses on computational grid which handles complex and large-scale computing problems. Computational grid is characterized by system dynamics which handles a variety of processors and jobs on continuous time. To solve problems of system complexity and reliability due to complex system dynamics, computational grid needs scheduling policies that allocate various jobs to proper processors and decide processing orders of allocated jobs. This paper proposes the service prediction-based job scheduling model and present its algorithm that is applicable for computational grid. The service prediction-based job scheduling model can minimize overall system execution time since the model predicts a processing time of each processing component and distributes a job to processing component with minimum processing time. This paper implements the job scheduling model on the DEVSJAVA modeling and simulation environment and simulates with a case study to evaluate its efficiency and reliability Empirical results, which are compared to the conventional scheduling policies such as the random scheduling and the round-robin scheduling, show the usefulness of service prediction-based job scheduling.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.34 no.4
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• pp.82-88
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• 2011

A typical job sequencing problem is studied in this research to improve productivities in manufacturing companies. The problem consists of two-stage parts and assembly processes. Two parts are provided independently each other and then two sequential assembly processes are followed. A new heuristic is developed to solve the new type of sequencing problem. Initial solution is developed in the first stage and then the initial solution is improved in the second stage. In the first stage, a longer part manufacturing time for each job is selected between two, and then a sequence is determined by descending order of the times. This initial sequence is compared with Johnson's sequence obtained from 2-machine assembly times. Any mismatches are tried to switch as one possible alternative and completion time is calculated to determine whether to accept the new sequence or not to replace the current sequence. Searching process stops if no more improvement can be made.