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REFERENCE LINKING PLATFORM OF KOREA S&T JOURNALS
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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 26, Issue 4 - Dec 1998
Volume 26, Issue 3 - Sep 1998
Volume 26, Issue 2 - Jun 1998
Volume 26, Issue 1 - Mar 1998
Selecting the target year
Quality Management and Management Revolution: Homogeneous or Heterogeneous\ulcorner
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 1~16
Even though advocates of TQM emphasize the role of TQM more than before, the interest of the public at large have decreased in recent years. In order to explain the perceptual gap between the advocates and general public, three questions were considered: 1) Is TQM a dying fad\ulcorner 2) Does TQM focus on a particular facet of management\ulcorner 3) Does TQM pursue incremental improvement, while reengineering pursue breakthrough innovation\ulcorner It is also discussed how can we extend the horizon of TQM so as to integrate new management theories into the framework of TQM.
Experiential Training in TQM
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 17~30
Most authorities of the Total Quality Management.(TQM) movement emphasize learning and training as an integral part of TQM, and it is well accepted in practice. However, despite this strong normative emphasis on its role, learning and training has not been systematically addressed in the TQM literature for its contents and a, pp.oaches. I first review the concept of TQM, its principles and implementation process to indentify the needs for learning and training, and the nature of experiential learning and training. I then discuss the necessity and effectiveness of experiential learning and training in TQM.
A Design of One-Sided Cumulative Scored Control Chart
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 31~45
This paper proposes a method of designing one-sided cumulative scored control charts to control the process mean with a normally distributed quality characteristic. The average run length(ARL) is obtained from the average sample number of sequential probability ratio test(SPRT) on trinomial distribution. Using the analogy between cumulative scored control chart and SPRT for trinomial observations, a procedure is presented to determine three control chart parameters; lower and u, pp.r scoring boundaries and action limit. The parameters are determined by minimizing the ARL when the process is out of control with prespecified ARL when the process is in control.
Determining the most profitable process mean for a production process where rejected item is sold at a reduced price or reworked
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 46~59
The problem of selecting optimal target values for the mean of the quality characteristic of interest for a production process in which an item is sold in one of two market with different profit / cost structures or reworked. Two profit models are constructed which involve four profit / cost components: profit, production, inspection, and rework costs. Assumed that the quality characteristic of interest is normally distributed, methods of finding the most profitable process mean are presented and a numerical example is given.
A Study on Taguchi's Feed-back Control System
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 60~70
When driving the expected loss generated by the quality deviation, Taguchi(1991b) assumed that an objective characteristic has the uniform distribution in its control limit. But it is reasonable to assume that an objective characteristic has the normal distribution than the uniform distribution. Since the triangular distribution is similar to the normal distribution and easy to handle as well, in this article, we first find the optimum measurement interval and the optimum control limit under the triangular distribution. Under the normal assumption, the modified method is compared to Taguchi's. Secondly we find the numerical value solution of the optimum measurement interval and the optimum control limit under the normal distribution.
MTBF Estimator in Reliability Growth Model with Application to Weibull Process
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 71~81
In reliability analysis, the time difference between the expected next failure time and the current failure time or the Mean Time Between Failure(MTBF) is of significant interest. Until recently, in reliability growth studies, the reciprocal of the intensity function at current failure time has been used as being equal to MTBE(
)at the n-th failure time
. That is MTBF(
. However, such a relationship is only true for Homogeneous Poisson Process(HPP). Tsokos(1995) obtained the upper bound and lower bound for the MTBF(
) and proposed an estimator for the MTBF(
) as the mean of the two bounds. In this paper, we provide the estimator for the MTBF(
) which does not depend on the value of the shape parameter. The result of the Monte Carlo simulation shows that the proposed estimator has better efficiency than Tsokos's estimator.
The Weighting Adjustment for Unit Nonresponse in the Stratified Sampling
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 82~99
In sampling survey the nonresponse reduces the precision of the estimator becuase of the nonresponse bias of the estimator. Deville, et al.(1993) considered the generalized raking procedure with the auxiliary information under five distance measures for reducing the nonresponse bias of the estimator. This paper extends the classical weighting adjustment of Deville, et al.(1993) to the stratified sampling case with three among five measures.
Total quality management Activities Evaluation (TAE) Model by the traditional scoring system and the efficiency measuring system
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 100~107
To evaluate the total quality activities is the most fundamental and critical process as one of the PDCA cycle. The quality award criteria such as Malcolm Baldrige National Quality Award and Deming Award can be a, pp.ied to the guideline for evaluating quality activities. We can identify several important factors for TQM by referring quality award criteria, but they don't suggest how efficiently implement TQM. In this paper, two methodologies are a, pp.ied to evaluate the TQM activities comparatively. One of them is the traditional scoring system (TSS) by analytic hierarchy process (AHP). TSS is the system which evaluates the performance of TQM by the weighted sum of critical success factors. Several quality award system are typical examples of TSS. The other is the efficiency measuring system (EMS) by data envelop analysis (DEA). DEA outperformed other alternative methods to measure the efficiency and it can be a, pp.ied to evaluate the TQM activities. The evaluation system by DEA can be named as EMS. The objective of this paper is to suggest a model called TAE (Total quality management Activities Evaluation), for evaluating TQM activities. In this model TQM organizations are classified into four types by considering TSS and EMS. Those types are high weighted sum and high efficiency type, high weighted sum and low efficiency type, low weighted sum and high efficiency type, and low weighted sum and low efficiency type. Therefore TQM organizations must not only make efforts to get the higher scores in terms of TSS, but also take necessary steps to enhance their efficiencies.
Leadership Styles and Organizational Citizenship Behavior in Public Service Personnel
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 108~129
Many empirical research surveys have su, pp.rted that Organizational Citizenship Behavior(OCB) is influenced by or closely related with leadership styles. The primary purpose is to test the moderating effects of structural factors (formalization, centralization) and personal factors(growth needs, sex, age, tenure, rank, occuption, school carrer) between 2 leadership styles and 2 OCB factors. For the analytical purpose of this article, Fisher's Z-transformation and SGC(split groups correlations) methods were introduced. Generally 2 leadership styles are found to influence on altruism and conscientiousness respectively. Out of 36 cases, only 2 cases were significant in moderating effects. Based on empirical results, there is no moderating effects in conscientiousness. But altruism is found to more closely related with employee-centered leadership in low centralized group than in high centralized group, and more closely related with job-centered leadership in low growth-needs group than in high growth-needs group.
A study on the parameter estimation of S-Shaped Software Reliability Growth Models Using SAS JMP
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 130~140
Studies present a guide to parameter estimation of software reliability models using SAS JMP. In this paper, we consider only software reliability growth model(SRGM), where mean value function has a S-shaped growth curve, such as Yamada et al. model, and ohba inflection model. Besides these stochastic SRGM, deterministic SRGM's, by fitting Logistic and Gompertz growth curve, have been widely used to estimate the error content of software systems. Introductions or guide lines of JMP are concerned. Estimation of parameters of Yamada et al. model and Logistic model is accomplished by using JMP. The differences between Yamada et al. model and Logistic model is accomplished by using JMP. The differences between Yamada et al. model and Logistic model is discussed, along with the variability in the estimates or error sum of squares. This paper have shown that JMP can be an effective tool I these research.
Cost-Reliability Optimal Policies Based on Musa-Okumoto Logarithmic Poisson Execution Time Model
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 141~149
It is of great practical interest to decide when to stop testing a software system in the development phase and transfer it to the user. This decision problemcalled an optimal software release one is discussed to specify the a, pp.opriate release time. In almost all studies, the software reliability models used are nonphomogenous Poisson process(NHPP) model with bounded mean value function. HNPP models with unbounded mean value function are more suitable in practice because of the possibility of introducing new faults when correcting or modifying the software. We discuss optimal software release policies which minimize a total average software cost under the constraint of satisfying a software reliability requirement. A numerical example illustrates the results.
A Note on Quartile
Journal of the Korean society for quality management, volume 26, issue 3, 1998, Pages 150~155
It is necessary to describe a data set after collection of data in elementary statistics course. Two major numerical summary of the data set may be measures of central location and dispersion. There are various unmerical summary methods in presenting how data are dispersed and each method has its own advantages and disadvantages. Quartiles are discussed among several methods to describe dispersion of data set. When data type is discrete, exact quartile values are sometimes ambiguous to find, whereas exact quartile values are obtained for contionuous data. Examples of both data types are given. Programs listed below may be used to provide quartiles in MINITAB and SAS.