• IE interfaces
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• v.22 no.2
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• pp.144-152
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• 2009

Assembly line has been recognized as an efficient production system in mass production. However, the recent production environment characterized as mass customization urges production managers to transform a long assembly line to a number of short assembly cells. To maximize the utilization of resources in an assembly cell, it is important to have the line balanced. This paper presents a bucket brigade-based assembly cell. Bucket brigade is a way of coordinating workers who progressively perform a set of assembly operations on a flow line. Each worker follows a simple rule: perform assembly operations on a product until the next worker downstream takes it over; then go back to the previous worker upstream to take over a new assembly job. In this way, the line balances itself. The bucket brigade assembly cell is analyzed and compared with traditional assembly lines and general assembly cells. The paper also discusses some prerequisite requirements and limitations when the bucket brigade assembly cells are employed.

• Journal of the Korean Society of Safety
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• v.31 no.5
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• pp.82-88
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• 2016

The current risk assessment system do not reflect workers' various opinion. However, the worker actually are in the center of work field and are exposed to accidents. In this regard, this study suggests enhanced risk assessment by 'safety circle discussion' on workers' hand. The self-administered surveys on supervisors and workers were done for the effect analysis of the safety circle discussion. According to the question investigation, even though the current risk assessment causes difficulties in preventing accidents by unsafe behaviors, the worker-oriented safety circle discussion establishing measures for risk factors of each work type will be able to prevent accidents more effectively. Also, it can positively contribute to safety health awareness, industrial accident prevention, accurate recognition on risk factors, improving safety facilities/work conditions, workers' compliance to safety health rules. Lastly, most respondents agreed that it is necessary to form organic relationship through circle discussion and deriving safety inspections that workers participate.

• International journal of advanced smart convergence
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• v.9 no.3
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• pp.246-252
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• 2020

Facial recognition is a biometric technology that is used in various fields such as user authentication and identification of human characteristics. Face recognition applications are practically used in various fields, but very few applications have been developed to improve the factory work environment. We implemented applications that uses face recognition to identify a specific employee in a factory .work environment and provide customized information for each employee. Factory workers need documents describing the work in order to do their assigned work. Factory managers can use our application to register documents needed for each worker, and workers can view the documents assigned to them. Each worker is identified using face recognition, and by tracking the worker's face during work, it is possible to know that the worker is in the workplace. In addition, as a mobile app for workers is provided, workers can view the contents using a tablet, and we have defined a simple communication protocol to exchange information between our applications. We demonstrated the applications in a factory work environment and found several improvements were required for practical use. We expect these results can be used to improve factory work environments.

• Health Policy and Management
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• v.30 no.1
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• pp.92-99
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• 2020

Background: The purpose of this study is to analyze the effect of the income support allowance policy for the care workers on wage level. Methods: The analysis data was constructed using database (DB) of long-term care institution, DB of long-term care personnel status, and DB of health insurance qualification and contribution possessed by National Health Insurance Services. We analyzed the wage status of care workers 2009 to 2016 through basic analysis. We used the difference-in-difference analysis method for the workers who worked in the same institution from 2012 to 2013, The effects of the income allowance policy on wage increase were analyzed. Results: As a result of the net effect of the income support allowance policy, the monthly average wage of the care worker increased by 25,676 won and the hourly wage increased by 478 won. As a result of the analysis, it can be confirmed that the income support allowance policy has achieved some of the goals of raising the wage level of the care workers, and the effect of raising wages for other occupations in the long-term care business can be confirmed. Conclusion: The low wage problem of long-term care workers such as care workers is not the only problem in Korea. In other countries, there are various wage support policies for employees. In particular, it is necessary to refer to the improvement in the treatment of care workers in Japan and wage pass-through in the United States. In addition to wages, there is a need to promote policies to provide employment motivation through efforts to improve their social status and improve their job status and career development for employees in long-term care facilities.

• Journal of the Korea Construction Safety Engineering Association
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• s.53
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• pp.52-62
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• 2011

Purpose of this study was to comprehend the influence that worker's lob stress caused by the distinct characteristics of construction work affect on construction management. Proven through previous studies of job stress measurement method, physical environment, job demands, job autonomy, interpersonal conflict are derived as typical factors. We analyzed causal relationships between the factors using structural equation modeling under the hypothesis that job stress have effect on the construction management. As a result, successful job stress management for construction management plan is proposed.

• Proceedings of the Safety Management and Science Conference
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• 2008.04a
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• pp.35-46
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• 2008

• Proceedings of the Safety Management and Science Conference
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• 2008.11a
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• pp.29-34
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• 2008

• Journal of the Society of Disaster Information
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• v.19 no.3
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• pp.498-509
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• 2023

Purpose: This paper proposes a method detecting the falling of a maintenance worker in the underground utility tunnel, by applying deep learning techniques using CCTV video, and evaluates the applicability of the proposed method to the worker monitoring of the utility tunnel. Method: Each rule was designed to detect the falling of a maintenance worker by using the inference results from pre-trained YOLOv5 and OpenPose models, respectively. The rules were then integrally applied to detect worker falls within the utility tunnel. Result: Although the worker presence and falling were detected by the proposed model, the inference results were dependent on both the distance between the worker and CCTV and the falling direction of the worker. Additionally, the falling detection system using YOLOv5 shows superior performance, due to its lower dependence on distance and fall direction, compared to the OpenPose-based. Consequently, results from the fall detection using the integrated dual deep learning model were dependent on the YOLOv5 detection performance. Conclusion: The proposed hybrid model shows detecting an abnormal worker in the utility tunnel but the improvement of the model was meaningless compared to the single model based YOLOv5 due to severe differences in detection performance between each deep learning model

• Journal of the Korea Academia-Industrial cooperation Society
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• v.22 no.2
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• pp.179-187
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• 2021

In the past five years, form construction, which accounts for approximately 25% of the total construction period, has continued to occur without a significant decrease in the number of deaths, with the largest proportion of collapse accidents. Accordingly, this study analyzed the difference in perception between the manager and worker by a questionnaire survey on the degree of risk and safety management level regarding a mold collapse accident. The survey was conducted in three groups: safety manager, field worker, and field manager. The results of the survey were analyzed by an independent sample T-Test using the SPSS program. As a result, there was almost no difference in recognition between managers, but a significant difference in recognition between managers and workers. In addition, there was a difference in management perception between the administrator and worker, which clearly shows the difference in the position between the administrator who manages and supervises hazardous disaster factors and the worker who works directly in the field. Such differences in perception can be a factor that cannot be mitigated. Based on this study, more developed research can narrow the perception gap between managers and workers and be used as a basic material for disaster research.

• Health Policy and Management
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• v.25 no.4
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• pp.333-342
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• 2015

Background: The purposes of this study is to analysis the differences of the job satisfaction between regular and non-regular workers in hospitals. Methods: The samples used for data analysis are 632 workers of 6 hospitals using a standardized questionnaires in B, C, D, and G provinces. In research methodology, all the data were analyzed with descriptive statistics, t-test, Pearson's correlation, and multiple linear regression analysis. Results: In case of regular workers, communication, working conditions and employee benefit, and education were found to have a significant positive (+) effect on job satisfaction. In case of non-regular workers, empowerment, reward systems, communication, working conditions, and employee benefit had a significant positive (+) effect on job satisfaction. Conclusion: These results showed that hospitals needed to reinforce communication, working conditions and employee benefit to regular and non-regular workers in order to improve job satisfaction. Especially, more empowerment, working conditions, and employee benefit should be given to non-regular workers.