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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
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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 Case Study of a Six Sigma Project for Improving Gate Painting Quality
Hong, Sung-Hoon ; Choi, Ik-Jun ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 1~12
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.
A Quality Data Mining System in TFT-LCD Industry
Lee, Hyun-Woo ; Nam, Ho-Soo ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 13~19
Data mining is a useful tool for analyzing data from different perspectives and for summarizing them into useful information. Recently, the data mining methods are applied to solving quality problems of the manufacturing processes. This paper discusses the problems of construction of a quality mining system, which is based on the various data mining methods. The quality mining system includes recipe optimization, significant difference test, finding critical processes, forecasting the yield. The contents and system of this paper are focused on the TFT-LCD manufacturing process. We also provide some illustrative field examples of the quality mining system.
A Two-stage Reliability Demonstration Test for Mechanical Components
Kwon, Young-Il ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 20~26
In the fields of mechanical reliability application, "zero" or "zero or one" failure tests are most commonly used for demonstrating reliability of a product since they reduce test duration and/or sample size compared to other test methods that guarantees the same reliability of a product with a given confidence level or consumer's risk. The test duration of the "zero or one" failure test is longer than that of "zero" failure test but it has advantage of smaller producer's risk. In this paper a two-stage test is developed that compromises the "zero" and "zero or one" failure tests. The properties of the proposed two-stage test are investigated and the three test methods are compared using a numerical example.
A Study on Effective Identification Method for Influential Main Effects and Interactions in the 2-level Factorial Designs
Kim, Sang-Ik ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 27~33
In this paper, an effective method for identifying influential main effects and interactions in the 2-level factorial designs is suggested by exploiting the resolution V designs developed by Kim(1992). For analysis of such designs, we employ the Bayesian approach for easy and clear identification of influential effects in the half normal probability plot.
Approximation of the Renewal Function for Hjorth Model and Dhillon Model
Nam, Kyung-H. ; Chang, Seog-Ju ; Kim, Do-Hoon ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 34~39
This paper applies approximation of the renewal function for Hjorth model and Dhillon model which show the trend change in its aging properties. We obtain the renewal function for Hjorth model and Dhillon model by a numerical solution of an approximate integral. We observe the influence of each parameter in these models. The results of the computation are described and their corresponding graphs are provided.
Nonparametric Analysis of Warranty Data on Engine : Case Study
Baik, Jai-Wook ; Jo, Jin-Nam ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 40~47
Claim history data of rather long period were collected to assess reliability and warranty cost analyses. The data were appropriately organized to be used for further statistical analyses. For each critical component, nonparametric statistical method was applied to obtain reliability plot. Hazard plots of the components in a subsystem or system level were also obtained. Competing risk model was assumed to obtain the performance of the subsystem or system level.
Mixture Bayesian Robust Design
Seo, Han-Son ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 48~53
Applying Bayesian optimal design principles is not easy when a prior distribution is not certain. We present a optimal design criterion which possibly yield a reasonably good design and also robust with respect to misspecification of the prior distributions. The criterion is applied to the problem of estimating the turning point of a quadratic regression. Exact mathematical results are presented under certain conditions on prior distributions. Computational results are given for some cases not satisfying our conditions.
Development and Application of Calibration Interval Analysis Program for Measurement Quality and Reliability Improvement
Park, Byoung-Sun ; Ahn, Ung-Hwan ; Cho, Joong-Jae ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 54~72
In recent years, the widespread application of quality management and measurement reliability has put increasing emphasis on procedures for periodic instrument calibration. By optimizing calibration intervals, unnecessary calibrations can be minimized, thereby reducing costs. Moreover, optimizing intervals will improve compliance with regulatory directives while ensuring maximal compliance with reliability targets. In this paper, we present Calibration Interval Analysis Program developed using several establishment methodologies of calibration interval for measurement quality and reliability improvement. Also, we perform calibration interval analysis for some measurement instruments and analyse its results.
Bayesian Procedure for the Multiple Test of Fraction Nonconforming
Kim, Kyung-Sook ; Kim, Hee-Jeong ; Na, Myung-Hwan ; Son, Young-Sook ;
Journal of the Korean Society for Quality Management, volume 34, issue 1, 2006, Pages 73~77
In this paper, the Bayesian procedure for the multiple test of fraction nonconforming, p, is proposed. It is the procedure for checking whether the process is out of control, in control, or under the permissible level for p. The procedure is as follows: first, setting up three types of models, $M_1:p=p_0,\;M_2:p
p_0$, second, computing the posterior probability of each model. and then choosing the model with the largest posterior probability as a model most fitted for the observed sample among three competitive models. Finally, the simulation study is performed to examine the proposed method.