• Journal of the Korean Society of Costume
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• v.54 no.8
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• pp.59-74
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• 2004

The Purposes of this study are to investigate consumers' causes of clothing preference and dispreference separately, and to get 'real' descriptions about that causes using an open-ended response questionnaire. The sample was composed of 81 undergraduate students. Subjects were asked to select their preferred clothing and disprefered clothing respectively among wardrobes they have and to describe the causes of that preference/dispreference. The data was collected through an open-ended response questionnaire and analyzed using content analysis. The system for content analysis was divided into the view Point of image, clothing itself, wearer's physical characteristics, wearing situation, others' response, wearer's values, wearer's consciousness, and purchase process. Image was the primary cause that raised clothing preference, and clothing itself, wearer's physical characteristic, wearing situation, others' response, wearer's consciousness, wearer's values, and purchase process followed. In audition. wearer's physical characteristic was the primary cause that raised clothing dispreference. and image, clothing itself. wearer's consciousness, wearer's values. wearing situation, purchase process, and others' response followed. Finally, the framework for the causes of clothing preference/dispreference was developed.

• Industrial Engineering and Management Systems
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• v.9 no.3
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• pp.251-261
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• 2010

This article demonstrated the application of the Fuzzy Data Envelopment Analytical Hierarchy Process (FDEAHP) to evaluate the root causes of critical defect problems occurring in the production of liquid medicine. The methodology of the research began by collecting the defect data by using Check Sheets, and ranking the significant problems by using a Pareto Diagram. Two types of major problems were found to occur, including glass fragments in the medicine and damaged lid threads. The causes of each problem were then analyzed by using Cause and Effect Diagrams. The significant causes were ranked by FDEAHP under three criteria, Severity (S), Occurrence (O) and Detection (D), followed by the framework of the FMEA Technique. Two causes with the highest Final Weight (FW) of each problem were selected to be improved, such as installing auxiliary equipment, using the Poka-Yoke system, setting the scale of the shaft and lathing the bushes of each bottle size. The results demonstrated a reduction in defects from 3.209% to 1.669% and showed that improving a few significant root causes, identified by an experienced decision maker, was sufficient to reduce the defect rate.

• Industrial Engineering and Management Systems
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• v.15 no.4
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• pp.335-344
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• 2016

Construction project is a competitive business with high risk especially in developing countries like Iran which faces with many problems such as delay and time and costs increases. Thus, the first priority here is to determine the causes of prolongation of construction projects and to evaluate their importance. Khuzestan Steel Company (KSC) has made important contribution to the projects in Iran and in turn is required to finish them on time. In this study, an attempt was made to investigate the causes of delay in implementation of construction projects held by this company. Data was collected through questionnaire distributed among the sample including 10 owners, 10 consultants and 15 con-tractors. Accordingly, participants rated the causes in the questionnaire so the most important priorities of each area were specified using TOPSIS method. The results showed that according to the employers, consultants and contractors' viewpoints, the most important reason for delays in construction projects of KSC is related to the financial matters. Hence, according to the results obtained, causes for delays in the company's projects are largely related to the drilling permits and long administrative cycle to renew them. Besides, continuous production of steel in this company is another reason to delays of construction projects.

• Journal of Korean Institute of Industrial Engineers
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• v.21 no.4
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• pp.609-628
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• 1995

This paper presents a reliability model and a data-analytic procedure for a repairable unit subject to failures due to multiple non-identifiable causes. We regard a failure cause as a state and assume the life distribution for each cause to be exponential. Then we represent the dependency among the causes by a Markov switching model(MSM) and estimate the transition probabilities and failure rates by maximum likelihood(ML) method. The failure data are incomplete due to masked causes of failures. We propose a specific version of EM(expectation and maximization) algorithm for finding maximum likelihood estimator(MLE) under this situation. We also develop statistical procedures for determining the number of significant states and for testing independency between state transitions. Our model requires only the successive failure times of a unit to perform the statistical analysis. It works well even when the causes of failures are fully masked, which overcomes the major deficiency of competing risk models. It does not require the assumption of stationarity or independency which is essential in mixture models. The stationary probabilities of states can be easily calculated from the transition probabilities estimated in our model, so it covers mixture models in general. The results of simulations show the consistency of estimation and accuracy gradually increasing according to the difference of failure rates and the frequency of transitions among the states.

• Architectural research
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• v.24 no.3
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• pp.63-74
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• 2022

Since lost child occurs frequently around us and there is a possibility of leading to an accident or a crime subsequently, it is necessary to study and have a plan for preventing child loss in advance. However, the preceding studies do not systemize the causes of child loss by places or situations, and the policy focuses only on the countermeasures afterward instead of prevention. In such perspective, this study derived the causes of child loss through the analysis of 202 cases by the bottom-up method. In addition, the causes were analyzed by dividing them into as negligence of guardian, breakaway of child, and environmental characteristics. As a result, it is found that children get lost by complex reasons usually with two or three causes combined together. And children got lost when guardians were not able to pay attention to their children, or when children moved away from their guardians. Furthermore, the environmental characteristics act as the catalyst by arousing child loss or making it more difficult for guardian to find the lost child. As a fundamental research, this study may be helpful in developing a environmental design certification system for preventing child loss in advance.

• Journal of the Korean Society of Safety
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• v.37 no.3
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• pp.9-15
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• 2022

The analysis of the causes of accidents in workplaces where machines and tools are used is essential to improve the effectiveness and efficiency of safety prevention policies in places of employment in Korea. The causes of workplace accidents are not fully understood mainly due to difficulties in analyzing available descriptive information. This study focuses on the automated accident cause analysis in workplaces based on the accident abstracts found in industrial accident reports written in an unstructured descriptive format. The method proposed in this paper is based on text data mining and uses the keyword search function of Excel software to automate the analysis. The analysis results indicate that the primary reason for the frequency of accidents is related to technical aspects at a stage in which dangerous situations occur in the workplace. Accidents due to managerial causes are typically observed when danger exists in the workplace; however, managerial actions play a more important role in reducing accident severity. A small company tends to use unsafe machines and devices, leading to further accidents due to technical causes, whereas managerial causes are more conspicuous as the company grows. To preclude the occurrence of accidents due to inadequate knowledge, the implementation of safety management and the provision of safety education to elderly workers at the early stage of their employment are particularly important for small companies with less than 100 workers.

• International conference on construction engineering and project management
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• 2007.03a
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• pp.540-553
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• 2007

Strategic management of changes is very significant for all types of construction projects. Project management teams must have the ability to respond to changes effectively in order to minimize their adverse impact on the project. The study focuses on the causes, their frequent effects and effective controls for changes in educational building projects. To achieve the study objectives, a questionnaire survey was carried out to collect relevant information. Through the literature review, 53 causes, 16 effects and 30 potential controls for change orders were identified. These provided the basis for the formulation of the questionnaire. Responses from 92 professionals who were involved in the educational projects in Singapore were analyzed. They included 28 developers, 33 consultants and 31 contractors. From the survey findings, the most important causes of changes were identified. The study revealed the most frequent effects and most effective controls for each cause of change order. Arising therefrom, a comprehensive tabulation of the 53 causes and their frequent effects and effective controls was also developed. A timeline for implementing the controls was developed through in-depth interviews with the professionals. The study would assist building professionals in taking proactive measures for reducing change orders for educational buildings; furthermore, the timeline would also be helpful for them to implement controlling strategies at the appropriate time. Recommendations were suggested based on the research findings.

• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.44-52
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• 2000

In this paper we apply VSS X chart to the case when two assignable causes effect the process mean shift. We compare the case when two compound assignable causes effect the process mean with another one which effects individually. For the practical use of VSS $\bar{X}$ chart we propose the sample size which minimizes the average number of samples until the signal is given in out-of-control state.

• The Transactions of The Korean Institute of Electrical Engineers
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• v.57 no.11
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• pp.2102-2107
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• 2008

This paper demonstrates a enhanced FCM to identify the causes of ground faults in power distribution systems. The discrimination scheme which can automatically recognize the fault causes is proposed using Fuzzy RBF networks. By using the actual fault data, it is shown that the proposed method provides satisfactory results for identifying the fault causes.

• Proceedings of the KSR Conference
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• 2007.05a
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• pp.1174-1179
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• 2007

Train collision and derailment are types of accident that happen with low probability of occurrence but could lead to disastrous consequences including multiple life losses. Risk assessment of the accidents are typically performed per their hazardous events, which are defined as events that cause accidents. This study classifies the train collision and derailment based on the relevant hazardous event, and investigates the causes related to the hazardous events. Finally, the relation of the causes, hazardous events, and the accidents are defined.