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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 Application of CMMI for Aircraft Software Development Process Improvement
Lee, Sung-Ju ; Yoon, Jae-Wook ; Byun, Jai-Hyun ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 1~18
CMMI(Capability Maturity Model Integration) has been recognized as a critical method to validate the competitiveness of software development organization since its introduction. CMMI imposes additional requirements on the software development organization which has been established and certified to the ISO 9001 quality management system. This paper reviews the similarities and differences between CMMI and ISO 9001. This paper also examines what ate required to deploy the CMMI on the aircraft software development organization which has been certified to ISO 9001. The results of this study will help software development organization to provide the direction for implementing CMMI. Some suggestions are presented to identify and strengthen the weak portion of the software process quality management system.
Statistical Analysis of Degradation Data under a Random Coefficient Rate Model
Seo, Sun-Keun ; Lee, Su-Jin ; Cho, You-Hee ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 19~30
For highly reliable products, it is difficult to assess the lifetime of the products with traditional life tests. Accordingly, a recent approach is to observe the performance degradation of product during the test rather than regular failure time. This study compares performances of three methods(i.e. the approximation, analytical and numerical methods) to estimate the parameters and quantiles of the lifetime when the time-to-failure distribution follows Weibull and lognormal distributions under a random coefficient degradation rate model. Numerical experiments are also conducted to investigate the effects of model error such as measurements in a random coefficient model.
Study on Evaluation of Business Intelligence Systems Quality for Management Decision Support
Kim, Kuk ; Song, Ki-Won ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 31~40
Companies had to be more intelligent in order to survive in the rapidly changing environments. We need to make a decision to build the Information System to support the managers in their decision making. That is the reason many companies are tend to have Business Intelligence Systems. But, how can we know the new system would be better than the old system in making us intelligent? The answer is we can do it with the concept of Intelligence Density. In this study, Intelligence Density concept will be introduced, and the way how it can be applied to the information system will be presented. I think Intelligence Density should be studied more to help managers make right decisions for the DSS implementation.
The Moderated Effect of Quality Management Program on the Efforts of Quality Management to Performance
Kwon, Yeong-Hoon ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 41~50
This paper analyses the moderated effect of quality management program on the efforts of quality management to performance using a sample of 300 Korean manufacturing firms. Result shows that (1) quality management efforts does not effect to engineering quality performance and managerial quality performance does effect to customer performance, and (2) customer performance does not effect to management performance. And quality program has a moderated effect between quality efforts and quality performance. The result shows that there is no direct link between engineering quality performance and management performance.
A Case Study for Improvement of EOP Measurement System through 6 Sigma Introduction
Choi, Cheon-Kyu ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 51~61
This paper is dealing with a 6 sigma application in chemical industries. The company is enterprise which produce PR that is semiconductor material. CTQ is consisted of thickness (Big Y
) and EOP (Big Y
). After 6 sigma improvement activity that thickness (Big Y
) improved from 0.98 sigma to 2.80 sigma and EOP (Big Y
, energy optimizer) improved from 1.53 sigma to 3.98 sigma. The effectiveness of financial scope reduced 58,200,000 won of COPQ. But there are some problems to enforce 6 sigma in small enterprises. First, it is a lack of complete charge manpower enforcing S sigma activity. Second, it is a lack of professional knowledge of project leaders. Third, the passion of sponsorship (champion) is a lacking. Nevertheless useful tool was certified so that 6 sigma achieves quality reform in small enterprises.
Bootstrap Confidence Intervals of Ridge Estimators in Mixture Experiments
Jang, Dae-Heung ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 62~65
We can use the ridge regression as a means for stabilizing the coefficient estimators in the fitted model when performing experiments in highly constrained regions causes collinearity problems in mixture experiments. But there is no theory available on which to base statistical inference of ridge estimators. The bootstrap could be used to seek the confidence intervals of ridge estimators.
Better Statistical Test for Process Capability Index
Cho, Joong-Jae ; Lim, Soo-Duck ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 66~72
The process capability indices are widely used to measure the capability of the process to manufacture items within the specified tolerance. Most evaluations on process capability indices focus on point estimates, which may result in unreliable assessments of process performance. The index
has been widely used in various industries to assess process performance. In this paper, we propose new testing procedure on assessing
index for practitioners to use in determining whether a given process is capable. The provided approach is easy to use and the decision making is more reliable. Whether a process is clearly normal or nonnormal, our bootstrap testing procedure could be applied effectively without the complexity of calculation. A numerical result based on the proposed approach is illustrated.
A Study on Software Reliability Growth Model for Isolated Testing-Domain under Imperfect Debugging
Nam, Kyung-H. ; Kim, Do-Hoon ;
Journal of the Korean Society for Quality Management, volume 34, issue 3, 2006, Pages 73~78
In this paper, we propose a software reliability growth model based on the testing domain in the software system, which is isolated by the executed test cases in software testing. In particular, our model assumes an imperfect debugging environment in which new faults are introduced in the fault-correction process, and is formulated as a nonhomogeneous Poisson process(NHPP). Further, it is applied to fault-detection data, the results of software reliability assessment are shown, and comparison of goodness-of-fit with the existing software reliability growth model is performed.