• Safety and Health at Work
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• 제12권3호
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• pp.324-338
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• 2021

Background: We hypothesized that the growing demand of Korean workers for work-life balance would change the factors influencing job satisfaction. We sought to verify our hypothesis by conducting a conjoint analysis based on the Korean Working Conditions Survey (KWCS). Methods: We analyzed the raw data of the KWCS, conducted by the Occupational Safety and Health Research Institute from 2006 to 2017. To complete the analysis, we counted on a conjoint model of analysis, typically used in the analysis of customer satisfaction. The dependent variable was the satisfaction of workers with their working conditions, and the independent variables were the job quality indicators identified by Eurofound. Results: The factors that have the greatest impact on working conditions satisfaction are summarized as follows: "physical environment" for the first wave, "adverse social behavior" for the second wave, "occupational status" for the third and fourth waves, and "management quality" for the fifth wave. "Earnings" were not a major factor in determining employee job satisfaction, and the relative importance index is decreasing. Conclusion: According to the results of the analysis of the tendencies of Korean workers, the factors that affect the satisfaction with the working conditions have changed over time. It is crucial to identify factors that affect working conditions to assure the health and productivity of workers. The results of this study demonstrate that policymakers and employers are required to attentively consider human relations and social environment at work to improve working conditions in the future.

• 한국산업보건학회지
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• 제30권2호
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• pp.213-225
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• 2020

Objectives: In order to prepare measures to enhance construction workers' satisfaction with their working environment, the effects of working conditions and the mediating effects of safety and health information on workers' satisfaction with their working environment in the construction industry have been studied. The results of this study can be used as basic data for further studies in this field. Method: Data on 1,361 male construction workers from the 5th Korea Working Condition Survey (KWCS) were used for this study. The effects of working conditions were analyzed using SPSS 25.0 and the mediating effects of health and safety information were analyzed with SPSS PROCESS macro using the bootstrap method. Results: The safety and health management system and the self-determination of break time had a statistically significant positive effect on satisfaction with the working environment. Chemical and ergonomic risk factors had a statistically significant negative effect on satisfaction with the working environment. The provision of safety and health information, the mediating variable, had a statistically significant positive effect on satisfaction with the working environment. Therefore, it had a mediating effect between working conditions and satisfaction with the working environment. Conclusion: In order to enhance construction workers' satisfaction with their working environment, the above results suggest that the safety and health management system should be well established; self-determination of break times should be guaranteed; and chemical and ergonomic risk factors should be controlled. In addition, workers should be provided with necessary health and safety information related to their work. This study will be useful if these findings are used as basic data in further studies in related fields.

• 가정과삶의질연구
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• 제27권4호
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• pp.117-126
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• 2009

The purpose of this study was to analyze the difference of working mothers' work-child rearing strain and their demand on special care services according to each mother's work conditions and childcare situation. 477 working mothers who have only one child each were gathered by the use of the purposive quota sampling method and analyzed with t-test, F-test, correlation, and multiple regression. The main results showed that working mothers had high work-child rearing strain and demand on special care services when their working conditions were inflexible and they were not satisfied with the care services for their child. The major variable which explained working mothers' demand on special care services was e their work-child rearing strain.

• 한국직업건강간호학회지
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• 제23권2호
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• pp.89-96
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• 2014

Purpose: The purpose of this study is to discover the influence of the working conditions on women workers' occupational stress. Methods: Descriptive method is used to identify women's stress depending on their general working features and conditions by conducting a survey of them in women-dominated service industries. SPSS 18.0 program is used for data analysis and descriptive statistics is presented with standard deviation, frequency and percentage. ${\chi}^2$-test is used as an analysis tool. To figure out factors that influence their stress, logistic regression analysis is used for general features and working conditions as independent variables, and occupational stress as a dependent variable. Results: As a result, among the independent variables, employment status, weekly working hours, career, shiftwork, and work-family-balance are meaningful factors that influence their stress. Temporary workers' stress is 3.65 times higher (p<.001), and workers working over 48 hours a week have 1.97 times higher stress (p<.003). Workers with over 5 years' career are under 1.73 times higher stress (p<.046) and shift workers are under 3.51 times higher stress (p<.001). Work family balance results in 1.93 times higher stress (p<.009). Conclusion: It is necessary to seek how to prevent and manage women workers' stress considering features.

• 산업경영시스템학회지
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• 제23권59호
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• pp.119-127
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• 2000

This paper describes the database for wire cutting electrodischarge conditions and variable taper wire-cut Machining. Electodischarge wire-cut machining is applicable to all materials that are fairly good electrical conductors, including metals, alloys, and most carbides. Thus it provides a relatively simple method for making holes of any desired cross section in materials that are too hard or brittle to be machined by most other methods. In conventional wire cutting CAM systems usually generate the NC code omitting electrodischarge conditions, so operator edits the NC code manually. But it is very inefficient. Therefore in this paper we propose a wire cutting CAM system including database for electrodischarge conditions. Proposed system consists of three steps: 1) Development of database for electrodischarge conditions 2) Development of CAM functions, Including 2D CAD modeling tools, file I/O functions, wire path genera tion functions and postprocessor. 3) Development of variable taper wire-cut machining module. The proposed system has been tested in the JinYoung precision Machine Co.,LTD. and found to be working satisfactorily.

• International Journal of Fluid Machinery and Systems
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• 제8권1호
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• pp.13-22
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• 2015

This study presents a simulation model of a heat pump air conditioning system with a variable capacity compressor and variable speeds fans for electric bus. An experimental sample has been developed in order to check results from the model. Effects on system performance of such working conditions as compressor speed, evaporator fans speeds and the condenser fans speeds have been simulated by means of developed model. The results show that the three speeds can be adjusted simultaneously according to actual working condition so that the AC system can operate under the optimum state which the control objects want to achieve. It would be a good and simple solution to extend the driving ranges of EVs because of the highest efficiency and the lowest energy consumption of AC system.

• 대한산업공학회지
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• 제2권1호
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• pp.61-78
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• 1976

The purpose of this study is to establish the horizontal and vertical working area which is dependent on measuring value of workers, body in order to make easy and stable working environments, and then to design the size of machines, tools and instruments in production factory because of making the practical production conditions which is the most suitable to human characteristics. But there is necessity that we have to review numeric value of measurement periodically because the size of workers' body is variable according to periodic and social circumstances. The establishment of standard working area after measurement enable us to make the best working conditions and we can design standard working table, optimum size of all machines and tools in production activity. Therefore, we can also acknowledge the importance of studying on human engineering because human engineering is necessary to reduction of fatigue in working, saving workers from industrial accidents, fail-safe system, improvement of productivity with increase in efficiency and etc. Finally, this study informs us that numeric value of measurement is larger than that of Japan, but not than that of America and Germany. So we can establish standard working area which is the most suitable for Korean inherence after measurement of detailed parts for workers' body.

• Journal of the Korean Data and Information Science Society
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• 제27권1호
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• pp.45-65
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• 2016

근래에 들어 기업 간 경쟁이 심화되고, 경제상황이 불안해지면서 근로시간의 단축은 물론 비정규직이나 시간제 근로자의 양산, 새로운 탄력근무제나 교대제의 도입 등이 일어났고, 따라서 근로시장은 급속한 변화를 겪고 있다. 이에 이 연구에서는 우선 탐색적 자료분석 방법을 이용하여 KWCS(Korean Working Conditions Survey)와 EWCS (European Working Conditions Survey) 데이터로부터 근로환경의 측면에서 근로자의 사회 인구학적 특성이 어떤지 살펴보고자 한다. 이어서 KWCS와 EWCS의 데이터를 가지고 탐색적 자료분석 방법으로 주당 근로시간이 성별, 연령별, 종사상 지위별, 직종별, 산업별로 얼마나 차이가 나는지 알아보고자 한다. 마지막으로 근로자들을 건강이 적어도 좋은 편에 속하는 사람들과 건강이 적어도 나쁜 편에 속하는 사람들로 나누어 두 그룹 간 주당 평균근로시간이 성별, 연령별, 종사상 지위별, 직종별, 산업별로 얼마나 차이가 나는지 표를 통해 먼저 살펴보고, 주당 평균근로시간을 반응변수로 보고 이에 영향을 미치는 요인들 (건강, 성, 연령, 종사상 지위 등)의 효과를 점검하는 단순회귀 및 다중회귀 분석을 실시하고자 한다.

• 대한안전경영과학회지
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• 제26권3호
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• pp.101-106
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• 2024

The health and working conditions of employees have become increasingly important issues in modern society. In recent years, there has been a continuous rise in problems related to the deterioration of workers' alth, which seriously affects their safety and overall quality of life. Although existing research has investigated various factors affecting workers' health and working conditions, there is still a lack of studies that scientifically analyze and identify key variables from the vast number of factors. This study employs the Lasso (Least Absolute Shrinkage and Selection Operator) technique to mathematically analyze the key variables influencing workers' health status and satisfaction with their working environment. Lasso is a technique used in machine learning to identify a small number of variables that impact the dependent variable among a large set of variables, thereby reducing model complexity and improving predictive accuracy. The results of the study can be utilized in efficiently improving workers' health and working environments by focusing on a smaller set of impactful variables.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제15권4호
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• pp.1193-1215
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• 2021

The measurement of the key product quality index plays an important role in improving the production efficiency and ensuring the safety of the enterprise. Since the actual working conditions and parameters will inevitably change to some extent with time, such as drift of working point, wear of equipment and temperature change, etc., these will lead to the degradation of the quality variable prediction model. To deal with this problem, the selective integrated moving windows based principal component regression (SIMV-PCR) is proposed in this study. In the algorithm of traditional moving window, only the latest local process information is used, and the global process information will not be enough. In order to make full use of the process information contained in the past windows, a set of local models with differences are selected through hypothesis testing theory. The significance levels of both T - test and χ² - test are used to judge whether there is identity between two local models. Then the models are integrated by Bayesian quality estimation to improve the accuracy of quality variable prediction. The effectiveness of the proposed adaptive soft measurement method is verified by a numerical example and a practical industrial process.