• Progress in Medical Physics
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• v.26 no.2
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• pp.59-71
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• 2015

The goal of quality assurance (QA) is to minimize systematic errors in order to maintain the quality of a certain process. Statistical process control (SPC) has been utilized for QA in radiation therapy field since 2005 and is changing QA paradigm. Its purpose is to maintain a process within the given control limits while monitoring of error trends such as variation or dispersion. SPC can be applied to all QA aspects of radiotherapy; however, a medical physicist should have enough knowledge about the application of SPC to QC/QA procedures. In this paper, the author introduce a concept of SPC and review some previously reported studies those used SPC for QA in radiation therapy.

• Communications for Statistical Applications and Methods
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• v.2 no.1
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• pp.248-254
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• 1995

샘플링 등 전통적인 관리기법이 백만분의 일 단위의 불량에서는 전수검사가 되어버리는 등의 문제점을 해결하기 위해서는 보다 적극적인 예방품질을 확보하지 않은면 안되는 시점에서 검사, 재작업, 스크랩을 절감하려는 SPC 프로그램을 1980년대 후반부터 미국의 반도체업계에서 구체화시키기 시작했다. 아남산업은 1987년부터 고객(주로 미국)의 요구에 따라 SPC를 도입하여 지난 7년간 통계적 기법을 활용한 공정관리를 하고 있는 중이다. 현재 SPC팀은 품질관리실 소속으로 통계적 기법의 현장활용 및 고객 요구사항의 대응을 위한 SPC 전략수립과 SPC 전산화에 대한 업무를 진행하고 있다. 지난 7년간 아남산업(주)의 통계적 기법의 적용현황과 문제점 그리고 향후전망에 대해 기술하고 제조업체의 품질시스템 중 통계적 기법의 활용에 대해 조명해 보기로 하겠다.

• The Korean Journal of Applied Statistics
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• v.1 no.1
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• pp.29-38
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• 1987

This article deals with statistical quality control (SQC) activities in manufacturing processes, First of all, the sources of variatin in product quality are listed and studied. Next, a typical SQC activity system in manufacturing processes is provided with a flow-chart, and each step in the system is explained. A real case example of a domestic company which follows the SQC activity system is illustrated. Finally, some approaches to activate SQC in manufacturing companies are suggested.

• The Korean Journal of Applied Statistics
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• v.4 no.1
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• pp.65-83
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• 1991

In order to know the situation of statistical Quality Control in Korea, we have surveyedabout 4, 500 manufacturing companies in Korea. Among the first 4, 500 manufacturing companies, 2, 586 companies have answered for the questionairs of the sample survey. In this research a statistical analysis is conducted for the 2, 586 companies and diagnosis of the situation of Statistical Quality Control is Korea in presented in terms of levels of development and degrees of implementation.

• Product Safety
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• no.11 s.168
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• pp.52-59
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• 2007

• KSCE Journal of Civil and Environmental Engineering Research
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• v.33 no.1
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• pp.61-70
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• 2013

This paper presents the response calibration method based on quality control range, which is established from the concept and method of statistical quality control for natural frequency ratio and response ratio. To this end, statistical analysis including descriptive statistics analysis, normality test, ANOVA were performed for response characteristics obtained from loading tests and structural analysis for more than hundred and thirty well-conditioned bridges. Suggested method is based on real structural integrity evaluation case studies and statistical quality control approach, in this respect it is expected to provide scientific criteria and systematic procedure for response calibration and load carrying capacity assessment.

• Journal of KIISE:Software and Applications
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• v.41 no.8
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• pp.533-544
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• 2014

The hardware-based software has been loaded in almost all industrial fields including the embedded system field. As it is increasingly important to control product quality, the more businesses are expending great quality cost. However, most domestic corporations in Korea are bent on spending more money solving problems caused by poor quality rather than prevention of quality loss cost. Therefore, it's time to improve to use quality prevention cost efficiently. As for this, there has been a growing interest in controlling quantitative quality, but the managing activities for quantitative quality require a high maturity process, belonging to Level 4 and 5. So it is necessary that statistical quality control activities should be fulfilled. This study introduces various measures to build up quality control among the process areas of TMMi Level 5 to help establish the high maturity test processes of statistical quality control.

• Journal of Korean Society for Quality Management
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• v.14 no.1
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• pp.67-72
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• 1986

• Proceedings of the Korean Information Science Society Conference
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• 2002.04b
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• pp.286-288
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• 2002

본 연구에서는 자동화된 부품생산 공장에서의 실시간 통계적 공정관리 시스템의 구축사례를 소개하고, 생산현장에서 지속적으로 올라오는 많은 양의 품질정보를 실시간으로 처리하기 위해 적용된 우선순위를 고려한 분산처리방식을 응용한 알고리즘을 제시한다.

• The Science & Technology
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• v.12 no.5 s.120
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• pp.6-6
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• 1979