• Journal of the Korea Society of Computer and Information
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• v.18 no.4
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• pp.97-112
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• 2013

The quality of the data is the most basic prerequisite for effective use of data. Problems and the resulting loss due to error data has emerged using case studies and a number of, to a national, quality certification system of the data has been enforced, you must manage to generate data study on the method for selecting the point of view of an organization's data CTQ is a very unsatisfactory state of affairs. Selected CTQ main data is subject to quality control in the organization, to develop criteria for CTQ data side of the business and IT so that it can be managed in a systematic manner, the proposed model, to filter the data accordingly presented in detail how to manage enterprise-wide CTQ data that can be quantified Te. By utilizing SPSS, factor analyzes, for which I used the AHP method for quantification. In particular, we present a framework of management measures along the maturity of the data in the organization due to the enforcement of authentic quality certification system of DB, utilizing the CTQ-DSMM model readily applicable to practice.

• Journal of Information Technology and Architecture
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• v.10 no.3
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• pp.347-359
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• 2013

The quality control of data is important element in data usage activations and decision makings. This paper is on how to extract the major critical data by each institution or organization selves. It proposes a social network analysis as a way to extract a table of high influence degree from a dynamic meta-data. The proposed CTQ data extraction method using SNA proved the fact that it is possible to extract highly accurate CTQ data by scientific measures of three-dimensional approach to real business situations without professional technicians. It is a new way that will change the goings on CTQ data management in IT sector and will improve the quality management level of an organization when applied to the real world.

• Journal of the Korean Data and Information Science Society
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• v.19 no.4
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• pp.1255-1267
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• 2008

Evaluation indices for products or services are important to improve the internal process of the company and to compare those with competitive ones. The sigma level in Six Sigma management does important role to evaluate the core characteristic, CTQ(Critical To Quality), derived in the considered product/service or process. In this research, we propose an overall evaluation index for the product/service or process with multiple characteristics, in other words, multiple CTQs. The proposed overall evaluation index is useful for the cases that the single CTQ is not enough to evaluate the practical interests, for example, the final products and services with complex procedures and relatively large scaled processes. This approach is discussed with sigma level for applying Six Sigma Projects, however, it is applicable to indices based on proportion or percentage as well. The practical examples with a manufacturing process and a customer survey based on focus group interview are given for illustrations.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.33 no.1
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• pp.33-40
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• 2010

Because sampling interval for data collection tends to be short compared with the overall processing time, in chemical process, instrumental process related tanks or furnace collected data have a significant autocorrelation. Insufficient control technique and frequent control actions cause unstable condition of the process. Traditional control charts which were developed based on iid (independently and identically distributed) among data cannot be applied on the existence of autocorrelation. Also unstable process is difficult to identity or diagnose. Because large-scale process has a lot of measurable variables and multi-step-structures among data, it is difficult to find relation between measurable variables and nonconformity. In this paper, we suggested an appicable model to diagnose the process and to find relation between measurable variables (CTQ) and nonconformity in the process having autocorrelation, unstable condition frequently, a lot of measurable variables, and multi-step-structure. And we applied this model to real process, to verify that the process engineers could easily and effectively diagnose the process and control the nonconformity.

• Anxiety and mood
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• v.18 no.2
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• pp.48-55
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• 2022

Objective : Childhood trauma is a risk factor for and resilience is a protective factor against later affective symptoms. The current study aimed to explore the relation between childhood trauma and anxiety symptoms and the mediating effect of resilience in a sample of college students. Methods : Data from 238 subjects who completed the Beck Anxiety Inventory (BAI), the Childhood Trauma Questionnaire (CTQ) and the Connor-Davidson Resilience Scale (CD-RISC) were analyzed. Predictors for BAI score and factor analyzed anxiety symptom dimensions were examined using regression models. Path analytic models were applied to test the mediating effect of the CD-RICS score on BAI score. Results : The CTQ score was significantly associated with the BAI score and the mediating effect of CD-RISC was significant as well. The cognitive dimension of anxiety was related to emotional abuse while the somatic dimension of anxiety to physical neglect. The CD-RISC score did not mediate those relations between anxiety dimensions and individual types of childhood trauma. Conclusion : Our data suggest that childhood trauma contributes to adult anxiety symptoms. There may be specific relations between types of childhood trauma and anxiety symptoms dimensions.

• Journal of Korean Society of Industrial and Systems Engineering
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• v.38 no.3
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• pp.21-28
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• 2015

As film products are increasingly used in a wide range of areas, from producing traditional flexible packaging to high-tech electronic products, a higher level of quality is demanded. Most film products are made in the form of rolled finished goods, therefore, various quality issues related to their shape characteristics must be addressed. The thickness of the film products is one of the most common and important critical-to-quality attributes (CTQs). Particularly, the degree of thickness uniformity is more important than other thickness parameters, because it will be potential causes of many secondary thickness-related quality problems, such as wrinkles or faulty windings. To control the degree of thickness uniformity, the fixed bending region is oneof the most important CTQs to manage. Fixed bending regions are special points in the transverse direction of a rolled product with consistent minute variations of the thickness gap. This paper describes the measurement and analysis of thickness uniformity data, which were performed in a real manufacturing field of biaxial oriented polypropylene (BOPP) film. In previous researches, quality function deployment (QFD) or fault tree analysis were used to find the most critical process attributes out to controlthe CTQ of thickness uniformity. Whereas, this paper uses traditional control charts to find the most critical process attributes out in this problem. In addition, the selection of one of the major critical process attributes (CTPs) that is expected to affect the CTQ of thickness uniformity is also described. The selected critical-to-process attributes are the controlled temperatures along the transverse direction. A dramatic improvement in thickness uniformity was observed when the selected CTPs were controlled.

• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.1-12
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• 2006

This paper presents a six sigma project for improving gate painting quality in a medium-sized automotive part company. The project follows a disciplined process of five macro phases: Define, Measure, Analyze, Improve, and Control. A CTQ(critical to quality) is determined based on COPQ(cost of poor quality) analysis, and a process map is utilized for identifying process input variables. Three KPIV s(key process input variable) are selected; Painting Temperature, Painting Quantity, and Painting Viscosity, and DOE(design of experiments) is utilized for finding the optimal process conditions for three KPIVs. MINITAB software is used for data analyses and DOE. The sigma level of defects rate has improved from 2.93 to 3.66.

• Journal of Korean Society for Quality Management
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• v.41 no.4
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• pp.555-566
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• 2013

Purpose: The purpose of this study is to develop innovation index of hospital service integrating 6 sigma and SERVQUAL. Methods: This study used DMA(Define, Measure and Analysis) from 6 sigma and 5 Factors from SEVQUAL. To test data, chi-squire text, association analysis and behavior analysis was conducted. Results: This study indicated the management index through CTQ (Critical to Quality) and Chosen few X using 6 sigma process. Finally, And this study developed 5 Factors; Equipment Utilization in Tangibility, Ratio of Patients/Disease/Behavior/Treatment in Reliability, Survival RAte, Canselation Rate of Reservation, Churn Rate, Interval of Treatment and Confidence in Responsiveness, Frequency of Patients/Disease/Behavior/Treatment in Assurance and Contrast to Best Department/Best Doctor/Best Doctor in Faculty/Average of Mine in Empathy. Conclusion: This study developed innovation index of hospital service. Managing this index, hospital is able to achieve the decline of total treatment cycle, adjustment of patients behavior and increase of equipment utilization. Ultimately, hospital is able to accomplish innovation of healthcare service.

• Journal of Korean Society for Quality Management
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• v.50 no.3
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• pp.425-440
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• 2022

Purpose: The purpose of this paper is to improve the chromaticity coordinate quality of white LED packages for automobiles that require high quality and reliability. Methods: The project follows the structured methodology of the Six Sigma DMAIC Roadmap, which consists of Define, Measure, Analyze, Improve and Control phases. Results: A CTQ is determined based on COPQ analysis, and a process map and a XY matrix are utilized for selecting process input variables. Three vital Few Xs are identified through data analysis; amount to mix at one time, deviation by head pumps, and deviation by production magazines, and process improvements are performed for each of the three vital Few Xs. Conclusion: The improved process conditions for the three vital Few Xs are applied to the production line, and the results show that the percent defective of chromaticity coordinate has improved from 1.59% to 0.63% and a financial effect of about 50 million won per year is obtained.

• Journal of the Korea Institute of Building Construction
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• v.10 no.1
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• pp.91-99
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• 2010

The purpose of this study was to present the 6 sigma technique in construction projects, and to review the possibility of 6 sigma introduction. DMAIC (Design, Measure, Analyze, Improve, Control) methodology was used to increase the utilization of TIMS (Technology Information Management System). The results of this study were as follows. The introduction of the 6 sigma technique was very effective in the construction industry, but there were many difficulties in its application because of the characteristics of construction. As the 6 sigma technique emphasizes management based on data, it is essential to accumulate historical data and to achieve the standardization of the construction business process. Furthermore, it is necessary to apply 6 sigma for the competitiveness of the construction industry, and the development of suitable 6 sigma methodology for the construction industry is required.