• 제목/요약/키워드: control charts

검색결과 394건 처리시간 0.024초

Comparison of the Efficiencies of Variable Sampling Intervals Charts for Simultaneous Monitoring the means of multivariate Quality Variables

  • Chang, Duk-Joon
    • 통합자연과학논문집
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    • 제9권3호
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    • pp.215-222
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    • 2016
  • When the linear correlation of the quality variables are considerably high, multivariate control charts may be a more effective way than univariate charts which operate quality variables and process parameters individually. Performances and efficiencies of the multivariate control charts under multivariate normal process has been considered. Some numerical results are presented under small scale of the shifts in the process to see the improvement of the efficiency of EWMA chart and CUSUM chart, which use past quality information, comparing to Shewart chart, which do not use quality information. We can know that the decision of the optimum value of the smoothing constant in EWMA structure or the reference value in CUSUM structure are very important whether we adopt combine-accumulate technique or accumulate-combine technique under the given condition of process.

A Study of Control Chart for Skewness

  • Lee, Jung Jin
    • 품질경영학회지
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    • 제23권4호
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    • pp.1-12
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    • 1995
  • Sample skewness has not received much attention from researchers to design a control chart. In this paper, control charts based on two skewness measures are studied to control a manufacturing process. One skewness measure is the third central moment about mean, the other is the third L-moment which is a linear combination of order statistics. Since the exact sampling distributions of two skewness measures are unknown, empirical sampling distributions are studied using simulation. The sampling distributions are used to design control charts for skewness and performance of two skewness measures is compared.

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중심경향 및 퍼짐경향의 탐지 (Detection of Central and Dispersion Tendencies)

  • 장경;양문희
    • 산업경영시스템학회지
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    • 제20권44호
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    • pp.69-79
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    • 1997
  • We investigate both of central and dispersion tendencies of the observed test statistics in control charts in order to judge whether a production process is abnormal or not. In order to do it, first, we study about detection of changes of the population mean as a central tendency The $\bar{x}$ and x control charts are used for detecting the change of the population mean $\mu$. We shows the probability detecting the change of population mean using the $\bar{x}$ and x control charts. Secondly, we study about detection of changes of the population standard deviation as a dispersion tendency in the s control chart. In our studies, for the given several parameters the detection probabilities of changes of central and dispersion tendencies are calculated, the necessary sample size values n are suggested for detecting the changes, and their informations are given as various tables.

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가변모수를 갖는 EWMA 관리도 (EWMA Control Charts with Variable Parameter)

  • 이재헌;한정희
    • 품질경영학회지
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    • 제33권4호
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    • pp.117-122
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    • 2005
  • Variable sampling rate(VSR) scheme varies the sampling rate for the current sample depending on the previous value of the control statistic. In this paper, we propose EWMA control charts with variable parameter(VP) scheme, which allows both the sample rate(the sample size or the sampling interval) and the weight to vary. We investigate the effectiveness of the VP scheme relative to the fixed parameter(FP) scheme and the VSR scheme in EWMA control charts. It is shown that using the VP scheme gives some improvements to the ability in detecting small and moderate shifts in the process normal mean.

VLAD 관리도의 설계 (Design of Variable Life-Adjusted Display (VLAD) Charts)

  • 이재헌;정상현
    • 응용통계연구
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    • 제20권3호
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    • pp.597-604
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    • 2007
  • 현대 사회에서 건강관리와 공중보건 분야의 이상원인 탐지와 감시를 위하여 관리도 기법을 많이 사용하고 있다 예를 들어, 외과의사의 수술 수행성과의 변화나 만성병과 전염병 등의 비율 변화를 탐지하는데 관리도를 사용할 수 있다. 이 논문에서는 건강관리와 공중보건 분야에서 많이 사용하는 VLAD (variable life-adjusted display) 관리도를 소개하고, 이 관리도에서 관리한계선을 설정하는 방법을 제안하였다.

CUSUM of Squares Chart for the Detection of Variance Change in the Process

  • Lee, Jeong-Hyeong;Cho, Sin-Sup;Kim, Jae-Joo
    • 품질경영학회지
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    • 제26권1호
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    • pp.126-142
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    • 1998
  • Traditional statistical process control(SPC) assumes that consective observations from a process are independent. In industrial practice, however, observations are ofter serially correlated. A common a, pp.oach to building control charts for autocorrelatd data is to a, pp.y classical SPC to the residuals from a time series model fitted. Unfortunately, one cannot completely escape the effects of autocorrelation by using charts based on residuals of time series model. For the detection of variance change in the process we propose a CUSUM of squares control chart which does not require the model identification. The proposed CUSUM of squares chart and the conventional control charts are compared by a Monte Carlo simulation. It is shown that the CUSUM of squares chart is more effective in the presence of dependency in the processes.

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An Economic-Statistical Design of Moving Average Control Charts

  • Yu, Fong-Jung;Chin, Hsiang;Huang, Hsiao Wei
    • International Journal of Quality Innovation
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    • 제7권3호
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    • pp.107-115
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    • 2006
  • Control charts are important tools of statistical quality control. In 1956, Duncan first proposed the economic design of $\bar{x}-control$ charts to control normal process means and insure that the economic design control chart actually has a lower cost, compared with a Shewhart control chart. An moving average (MA) control chart is more effective than a Shewhart control chart in detecting small process shifts and is considered by some to be simpler to implement than the CUSUM. An economic design of MA control chart has also been proposed in 2005. The weaknesses to only the economic design are poor statistics because it dose not consider type I or type II errors and average time to signal when selecting design parameters for control chart. This paper provides a construction of an economic-statistical model to determine the optimal parameters of an MA control chart to improve economic design. A numerical example is employed to demonstrate the model's working and its sensitivity analysis is also provided.

Bivariate EWMA Control Charts for Autocorrelated Processes

  • 조교영;안영선
    • Journal of the Korean Data and Information Science Society
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    • 제13권1호
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    • pp.105-112
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    • 2002
  • In this paper we establish bivariate exponentially weighted moving average (EWMA) control charts for autocorrelated processes using residual vectors. We first derive the residual vectors, their expectation, variance-covariance matrix, then evaluate the control chart based on the average run length (ARL).

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품질관리 자동화 -공정의 이상 패턴 인식을 위한 법칙- (Automating Quality System -New Rules for Pattern Identification in Control Charts-)

  • 김성인;조남길;한정희
    • 산업공학
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    • 제8권3호
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    • pp.249-257
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    • 1995
  • Expert system is an effective approach for quality system to be automated and thus to be an essential integrating mechanism in any move towards CIM(Computer Integrated Manufacturing). A quality control expert system is introduced and its relationship to CIM is illustrated in a case study. Process control expert system developed by Kim and Sin[6] has been improved via ODBC(Open DataBase Connectivity) for efficient information network, graph representation using Windows API for rapid response and some new rules for identification of patterns in control charts.

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2007년 한국 소아 청소년 표준 성장곡선과 표의 적용 (Application of 2007 Korean National Growth Charts: Growth Curves and Tables)

  • 문진수
    • Pediatric Gastroenterology, Hepatology & Nutrition
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    • 제12권sup1호
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    • pp.1-5
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    • 2009
  • 대한소아과학회와 질병관리본부는 2007년 10월에 새로운 성장도표를 개정 발표하였다. 새로운 성장도표는 1996년 전국 측정치와 2005년 전국 측정치를 병합하여 다른 세대 자료를 합친 것이며, LMS 법과 같은 새로운 기법을 도입한 것이다. 본 논문은 임상 적용과 학술 연구에 도움을 주기 위한 지침을 제시하였다.