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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
> Journal Vol & Issue
Journal of the Korean Society for Quality Management
Journal Basic Information
Journal DOI :
The Korean Society for Quality Management
Editor in Chief :
Volume & Issues
Volume 34, Issue 4 - Dec 2006
Volume 34, Issue 3 - Sep 2006
Volume 34, Issue 2 - Jun 2006
Volume 34, Issue 1 - Mar 2006
Selecting the target year
A Study on the Korean Standard -Quality Excellence Index(KS-QEI)
Yoo, Choon-Burn ; Kim, Jun-Ho ; Kim, Tai-Kyoo ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 1~12
The 'KS-QEI' is the quality evaluation model developed both by Korean Standard Association(KSA) and this research team, reflecting the characteristic of KS products' quality and the customers' demand factors. KS-QEI is a general index measuring and announcing KS products' quality excellency through the evaluation of its real user including customers and specialists. This index aimed to evaluate and announce the quality level of KS product annually which was the motivation of products' quality improvement to enterprises and guaranteed the products' reliability to customers. Ultimately, by competing in good faith among domestic enterprises and preparing foundation of continuous research and investment inducement, it was expected to improve the Korean industry's competitive power. This study was intended to develop improved KS-QEI by analysing 2006 research result, to which it had applied ameliorated and enlarged index in 2005. Especially, it established the weight by Analytic Hierarchy Process(AHP), which led to estimate weight mathematically by comparing and evaluating the importance and difficulty by its index. And this paper analyzed the research result by using multi-variate statistical methods.
A Case Study of Six Sigma for Improving Non-Function Test Process in the Ammunition Stockpile Reliability Program
Yoon, Keun-Sig ; Kim, Yong-Hwa ; Bong, Ha-Gyu ; Lee, Jong-Chan ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 13~21
This paper includes an example of applying Six Sigma to Non-function test process to improve the efficiency and reliability of the Ammunition Stockpile Reliability Program (ASRP). By applying the DMAIC which is one of the Six sigma methods. we found out the vital few and as an improved version : effective redesign of check-sheets, pre-examination of technology, on-the-scene support system. As a result, we could enhance the reliability and reduce manpower and additional expenses.
Selection of Six Sigma Key Ingredients
Cho, Ji-Hyun ; Jang, Joong-Soon ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 22~32
In these days, most of Korean industries advocates and utilizes Six Sigma as an integrated innovation tool for all their business and manufacturing processes. Six Sigma is known to bring more financial and managerial achievements than other innovation methods and tools. However, such successes are not always guaranteed. To adopt and implement Six Sigma successfully, it is necessary to grasp and understand essential characteristics of Six Sigma and then identify suitable elements and complements in consideration of vision, strategies, capability, circumstance and environment of the company. Step by step implementation plan may be built based on those ingredients. This study is to find out key ingredients (KIs) of Six Sigma. Potential ingredients selected from previous studies of success factors and ingredients of Six Sigma and TQM, and criteria of quality awards like MBNQA, EFQM, Deming prize and Korean National Quality Awards (KNQA) are classified into 11 categories based on experts' opinion and affinity analysis: management leadership, belt system, training, six sigma system, compensation, organization, corporate culture, customer focused, project selection, management of project results, and managerial achievements. Irrelevant or ineffective potential ingredients are discarded using factor analysis for the questionnaires answered by champions, MBB's and BB's of 90 Korean companies that have more than 3 years experience of Six Sigma. Also from the factor analysis, 3 factors are derived for each categories respectively except the managerial achievement category. Those 11 categories and 30 factors are defined as KIs of Six Sigma. This study also reveals that there is difference according to enterprise size, type of business, and implementation time in terms of KI's, and prioritizes KI's that an enterprise to pursue Six Sigma successfully should consider according to its characteristics.
Optimization Methodology Integrated Data Mining and Statistical Method
Song, Suh-Ill ; Shin, Sang-Mun ; Jung, Hey-Jin ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 33~39
These days manufacture technology and manufacture environment are changing rapidly. By development of computer and enlargement of technique, most of manufacture field are computerized. In order to win international competition, it is important for companies how fast get the useful information from vast data. Statistical process control(SPC) techniques have been used as a problem solution tool at manufacturing process until present. However, these statistical methods are not applied more extensively because it has much restrictions in realistic problems. These statistical techniques have lots of problems when much data and factors are analyzed. In this paper, we proposed more practical and efficient a new statistical design technique which integrated data mining (DM) and statistical methods as alternative of problems. First step is selecting significant factor using DM feature selection algorithm from data of manufacturing process including many factors. Second step is finding optimum of process after estimating response function through response surface methodology(RSM) that is a statistical techniques
Effectiveness of incisions, and Dressing to increase Medical Quality : In Linear or Sigmoid Incisions, and Liquid Wound Dressing for Computer Image Guided Craniotomy
Cho, Joon ; Eum, Kee-Soo ; Lee, Dong-Kue ; Park, Keun-Sang ; Kim, Mi-Young ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 40~50
The authors aimed to analyze the quality improvement efficiency of wound dressing with 2-octyl cyanoacrylate(2-OCA) in stereotactic image guided linear or sigmoid incisions in a cohort of consecutive craniotomy patients, and to compare clinical results with those of iodine-dressing and silk sutured patients underwent conventional craniotomy surgery with large pedicle flap incisions without stereotactic guidance. In methods, 26 patients were involved as the study group at one hospital. We retrospectively compared their results with those of 38 consecutive control patients at the same unit. The suggested new medical material, 2-octyl cyanoacrylate(2-OCA), resultantly decreased or prevented the contaminated fluid influx from scalp outside. The mean infection rate for the control group (7.89%) was relatively higher than that of the study group (3.85%). In addition, the use of stereotactic image guided craniotomy was significant to reduce operation time, to simplify operative procedures and to decrease potential risk factors.
A Study on the Case of PL Prevention Strategies for Diary Manufacturing Company
Hong, Han-Kuk ; Kim, Chul-Min ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 51~64
The PL (Product Liability) Law has been going into effect in Korea since July 2002. Accordingly, a company's responsibility for customers who are damaged by the defect in the product safety has been gradually strict and imposed burden on management. This paper presents suggestions as to PL prevention of diary manufacturing companies through the case research of PL prevention strategies and the prevention systems of the domestic diary manufacturing company.
Service Quality of Internet-based Lecture and In-class Lecture at the University Level
Yoon, Jae-Hong ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 65~77
This study try to find the service quality factors of internet-based lecture and in-class lecture on the university level. The service quality factors of internet-based lecture are information quality and system quality factors which affect education service value, and customer satisfaction. This affects the service performance. The service quality factors of in-class lecture are tangibility, reliability, responsibility, assurance and empathy factors also affect education service value and customer satisfaction. This leads to service performance. This result will be helpful to enhance the service quality of university level lectures.
The Analysis of Human Error for Improving Customer Counseling Service Quality
Park, Woong-Hee ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 78~92
While many services appear, it are performed in the various researches about a service. Among them, as to the basic reason for measuring the service level, in order to find out the strategy improving service quality. But the method for measuring quality of services up to date was unable to make it enough the role. This research tried to propose the approach systematically analyzing the human errors in order to improve service quality about the call center which utilizes the information technology. In fact, the human errors was found in the customer contact point in which the actual service is delivered. An interaction between the element for comprising call service was classified into 3 while defining the human error as 3 group. Moreover, the process where a service is delivered was classified according to 5 step and the generated error was measured in each step. The implication of this research looks at the service failure and dissatisfaction as the occurrence of the human errors and illustrates the service quality improvement as a correction or a reduction. This approach is used that service is materially easily understood and is formulated with the quality improvement strategy.
Combined and Product Array Approaches in Simultaneous Optimization of Multiple Responses
Lee, Jae-Hoon ; Park, Sung-Hyun ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 93~101
Robust parameter design is an off-line production technique for reducing variation and improving the quality of products and processes by using product arrays. However, the use of the product arrays usually requires a large number of runs. To overcome the drawback of the product array, the combined array can be used. Also optimizing multiple responses is increasingly important in industry. Using simultaneous optimization measures, we can deal with the multiple response case. In this paper we compare the simultaneous optimization using the Taguchi's product array with using the combined array. And models possible to set on combined arrays are also investigated and compared with the cases of product arrays.
Effects of Non-normality on the Performance of Univariate and Multivariate CUSUM Control Charts
Chang, Young-Soon ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 102~109
This paper investigates the effects of non-normality on the performance of univariate and multivariate cumulative sum(CUSUM) control charts for monitoring the process mean. In-control and out-of-control average run lengths of the charts are examined for the univariate/multivariate lognormal and t distributions. The effects of the reference value and the correlation coefficient under the non-normal distributions are also studied. Simulation results show that the CUSUM charts with small reference values are robust to non-normality but those with moderate or large reference values are sensitive to non-normal data especially to process data from skewed distributions. The performance of the chart to detect mean shift of a process is not invariant to the direction of the shift for skewed distributions.
A Study on Evaluation of Service Quality in the Retail Industry using the 6 sigma
Yoo, Han-Joo ; Song, Gwang-Suk ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 110~124
There have been various papers about service quality. This article is one of them. This is about the measurement of service quality in the competitive structure between department and discount store. In this paper, we tried to measure the service quality and overall satisfaction by using 6 sigma, degree of combination and top2box which is a little bit different methodology from traditional ones. The data were collected by the internet survey from 1428 and 1605 department and discount store customers respectively. The result shows the different patterns in the each retail industry. Also, there is a significant difference in terms of sigma level in the each retail industry. Finally, we showed the summarized result as the 6 Sigma Portfolio Matrix.
] Chart with Geometrically Adjusted Control Limits under Continually Improving Processes
Ryu, Mi-Jung ; Park, Chang-Soon ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 125~132
An adjusted control limit of the
chart is proposed for monitoring the continually improving processes. The continual improvement of the process implies the decrease of the process variance, which is represented by a logistic curve. The process standard deviation is estimated by the exponentially weighted moving average of the sample standard deviations from the past to the current times. The control limits are adjusted by the estimated standard deviation at every sampling time. The performance of the adjusted control limit is compared with that of the standard control limits for various cases of the decreasing speed and size of the variance. The results show that the
chart with the adjusted control limits provides better performances for monitoring the small and moderate shifts in continually improving processes.
An Imperfect Debugging Software Reliability Growth Model with Change-Point
Nam, Kyung-H. ; Kim, Do-Hoon ;
Journal of the Korean Society for Quality Management, volume 34, issue 4, 2006, Pages 133~138
In this paper, we propose a software reliability growth model (SRGM) based on the testing domain, which is isolated by the executed test cases. This model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process. We consider that the fault detection rate of NHPP model is changed in the proposed SRGM. We obtain the maximum likelihood estimate, and compare goodness-of-fit with another existing software reliability growth model.