• Journal of Korean Society for Quality Management
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• v.47 no.4
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• pp.783-793
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• 2019

Purpose: The purpose of this study is to apply the machine and deep learning methodology on error terms which are continuously auto-generated on the sensors with specific time period and prove the improvement effects of power generator prediction diagnosis system by comparing detection ability. Methods: The SVM(Support Vector Machine) and MLP(Multi Layer Perception) learning procedures were applied for predicting the target values and sequentially producing the error terms for confirming the detection improvement effects of suggested application. For checking the effectiveness of suggested procedures, several detection methodologies such as Cusum and EWMA were used for the comparison. Results: The statistical analysis result shows that without noticing the sequential trivial changes on current diagnosis system, suggested approach based on the error term diagnosis is sensing the changes in the very early stages. Conclusion: Using pattern of error terms as a diagnosis tool for the safety control process with SVM and MLP learning procedure, unusual symptoms could be detected earlier than current prediction system. By combining the suggested error term management methodology with current process seems to be meaningful for sustainable safety condition by early detecting the symptoms.

• Journal of Korean Society for Quality Management
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• v.28 no.3
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• pp.114-123
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• 2000

Six Sigma has been adopted as a major improvement initiative by some leading Korean companies. The paradigm of how statistics is to be applied in business and industry has been challenged by Six Sigma. In this paper, Six Sigma initiative and its importance are stressed. Also statistical thinking plays a major role in Six Sigma. Therefore, its relationship with Six Sigma is explained. Next, various strategies for achieving Six Sigma are reviewed. Finally the strategy that GE takes for achieving Six Sigma is examined.

• Journal of the Korea Safety Management & Science
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• v.15 no.2
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• pp.243-253
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• 2013

This research paper introduces the application and implementation of medical decision metrics that classifies medical decision-making into four different metrics using statistical diagnostic tools, such as confusion matrix, normal distribution, Bayesian prediction and Receiver Operating Curve(ROC). In this study, the metrics are developed based on cross-section study, cohort study and case-control study done by systematic literature review and reformulated the structure of type I error, type II error, confidence level and power of detection. The study proposed implementation strategies for 10 quality improvement activities via 14 medical decision metrics which consider specificity and sensitivity in terms of ${\alpha}$ and ${\beta}$. Examples of ROC implication are depicted in this paper with a useful guidelines to implement a continuous quality improvement, not only in a variable acceptance sampling in Quality Control(QC) but also in a supplier grading score chart in Supplier Chain Management(SCM) quality. This research paper is the first to apply and implement medical decision-making tools as quality improvement activities. These proposed models will help quality practitioners to enhance the process and product quality level.

• Journal of Fisheries and Marine Sciences Education
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• v.28 no.4
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• pp.1114-1132
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• 2016

The objective of present study is to compare the similarities and differences between the two projects and extract implications for the improvement of higher education quality in other countries. To meet this objective, The study compared and analyzed "The Project of Higher Education Quality Development and Educational Reform of China" and "Technical Education Quality Improvement Programme" of government of India. by using the method of literature research, contents analysis and comparison analysis, this paper employed multi-source materials to examine background and targets, measures and outcomes, deficiencies and future direction of these two projects, and compared the similarities and diversities on each matters by utilizing secondary data from national surveys, government statistics, databases, and third-party agencies. The findings led us to suggest that the well-coordinated and standardized administrative system is a primary guarantee for ensuring the smooth implementation of the programme, and sharing educational resources among higher education institutions is an effective means for promoting their joint development. The improvement of higher education quality relies on the reform of the entire higher education system and the efficient networking between higher education institutions.

• Proceedings of the Korean Society for Quality Management Conference
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• 2004.04a
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• pp.425-429
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• 2004

Process adjustment Is a complimentary tool to process monitoring in process control. Process adjustment directs on maintaining a process output close to a target value by manipulating another controllable variable, by which significant process improvement can be achieved. Therefore, this approach can be applied to the 'Improve' stage of Six Sigma strategy. Though the optimal control rule minimizes process variability in general, it may not properly function when special causes occur in underlying process, resulting in off-target bias and increased variability in the adjusted output process, possibly for long periods. In this paper, we consider a responsive feedback control system and the minimum mean square error control rule. The bias in the adjusted output process is investigated in a general framework, especially focussing on stationary underlying process and the special cause of level shift type. Illustrative examples are employed to illustrate the issues discussed.

• Korean Journal of Agricultural Science
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• v.50 no.4
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• pp.869-881
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• 2023

A genetic improvement program in Korea was implemented to improve the performance of Hanwoo cattle by generating livestock with genetically desirable economic characteristics. In particular, in response to external changes, such as the expansion of Free Trade Agreement (FTA), the livestock genetic improvement program has increased farm income by improving the productivity and quality of Hanwoo cattle. Using production cost data from Statistics Korea, the total input and output indices of Hanwoo feeding cattle from 2008 - 2021 were estimated and the growth and productivity changes were analyzed. The productivity change measures results were used to estimate the cumulative effects of the Hanwoo genetic improvement program on quality improvement, another purpose of the program, using a finite distributed lag model. The average annual increase in output (market weight) of Hanwoo was 0.9%. However, total input increased by 1.6%, resulting in a 0.6% decline in total factor productivity. In contrast, the Hanwoo genetic improvement program contributed significantly to the production of high quality beef, rather than contributing to improved productivity of the cattle. Hanwoo carcass weight, which is used as a performance indicator for the livestock genetic improvement program, has significantly improved and is projected to increase at a slower rate. The collective findings indicate the need for new performance indicators that can comprehensively indicate the performance of the genetic improvement of Hanwoo.

• Journal of Korean Society for Quality Management
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• v.23 no.2
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• pp.28-42
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• 1995

For quality improvement, Taguchi emphasizes the reduction of variation of the quality characteristic, Taguchi has used the signal-to-noise ratios for achieving minimum dispersion of the quality characteristic with its location adjusted to some desired target value ${\tau}$ Lim(1994) proposes a reasonable SN ratio based on a linking relationship of the variance and mean through simple data analysis technique. In this paper we investigate the efficiency of those two SN ratios and variance stabilizing transformations through Monte Carlo Simulations.

• Proceedings of the Korean Association for Survey Research Conference
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• 2001.04a
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• pp.61-81
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• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches, research methods used in collecting government statistics have not been discussed often. In 1998, we reviewed the survey questionnaire, data collecting methods and procedures of one government statistics, the Labor Demand Survey. Based on the pilot study, we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand Survey,, detected the problems and issues in the survey, suggestions for the improvement of the survey, and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper, and will be studied in the near future when the data become available.

• Survey Research
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• v.2 no.2
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• pp.61-81
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• 2001

Government statistics have been treated the most reliable data sources in Korea. In the last 20 years, the numbers and scopes of the government statistics have been expended rapidly. Although government statistics have been widely used in many researches. research methods used in collecting government statistics have not been discussed often. In 1998. we reviewed the survey questionnaire. data collecting methods and procedures of one government statistics. the Labor Demand Survey. Based on the pilot study. we also proposed several survey methods for the quality improvement of the survey. The Ministry of Labor had adopted some suggestions in 1999 survey. This paper introduces the ways in which we investigated the Labor Demand survey. detected the problems and issues in the survey. suggestions for the improvement of the survey. and several survey methods adopted by the Ministry of Labor. However, the effects of the new measures are not included in this paper. and will be studied in the near future when the data become available.

• Journal of Korean Society for Quality Management
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• v.34 no.1
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• pp.54-72
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• 2006

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.