• 제목/요약/키워드: variable sampling interval

검색결과 67건 처리시간 0.036초

가변추출간격상(假變抽出間格上)에서 분산(分散)-공분산(共分散) 행례(行例)에 대한 다변량(多變量) 기하이동평균(幾何移動平均) 처리원(處理圓) (Multivariate EWMA Control Charts for the Variance-Covariance Matrix with Variable Sampling Intervals)

  • 조교영
    • Journal of the Korean Data and Information Science Society
    • /
    • 제4권
    • /
    • pp.31-44
    • /
    • 1993
  • Multivariate exponentially weighted moving average (EWMA) control charts for monitoring the variance-covariance matrix are investigated. A variable sampling interval (VSI) feature is considered in these charts. Multivariate EWMA control charts for monitoring the variance-covariance matrix are compared on the basis of their average time to signal (ATS) performances. The numerical results show that multivariate VSI EWMA control charts are more efficient than corrsponding multivariate fixed sampling interval (FSI) EWMA control charts.

  • PDF

Multivariate Control Charts for Means and Variances with Variable Sampling Intervals

  • Kim, Jae-Joo;Cho, Gyo-Young;Chang, Duk-Joon
    • 품질경영학회지
    • /
    • 제22권1호
    • /
    • pp.66-81
    • /
    • 1994
  • Several sample statistics to simultaneously monitor both means and variances for multivariate quality characteristics under multivariate normal process are proposed. Performances of multivariate Shewhart schemes and cumulative sum(CUSUM) schemes are evaluated for matched fixed sampling interval(FSI) and variable sampling interval(VSI) feature. Numerical results show that multivariate CUSUM charts are more efficient than Shewhart charts for small or moderate shifts and VSI feature is more efficient than FSI feature.

  • PDF

가중표준편차를 이용한 가변표본채취간격 $\bar{X}$ 관리도 (Variable Sampling Interval $\bar{X}$ Control Chart Using Weighted Standard Deviation Method)

  • 장영순
    • 한국경영과학회지
    • /
    • 제39권1호
    • /
    • pp.1-12
    • /
    • 2014
  • This article proposes a variable sampling interval (VSI) $\bar{X}$ control chart using weighted standard deviation (WSD) method for skewed populations. The WSD method decomposes the standard deviation of a quality characteristic into upper and lower deviations and adjusts control limits and warning limits of a control chart in accordance with the direction and degree of skewness. A control chart constant is derived for estimating the standard deviation of skewed distributions with the mean of sample standard deviations. The proposed chart is compared with the conventional VSI $\bar{X}$ control chart under some skewed distributions. Simulation study shows that the proposed WSD VSI chart can control the in-control average time to signal (ATS) as an adequate level better than the conventional VSI chart, and the proposed chart can detect a decrease in the process mean of a quality characteristic following a positively skewed distribution more quickly than the standard VSI chart.

Evaluating Properties of Variable Sampling Interval EWMA Control Charts for Mean Vector

  • Kwon, Yong-Man;Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
    • /
    • 제16권3호
    • /
    • pp.639-650
    • /
    • 2005
  • Theoretical and numerical comparison have shown that variable sampling interval (VSI) charts are substantially more efficient than fixed sampling interval(FSI) charts in term of ATS(average time to signal). But the frequency of switching between different sampling intervals is a complicating factor in VSI procedures. VSI EWMA charts for monitoring mean vector of related qualify characteristics are investigated. To compare the efficiencies of the proposed charts, the performances are evaluated for matched FSI and VSI charts in terms of average time to signal(ATS) and average number of samples to signal(ANSS). For the switching behavior of the proposed VSI charts, average number of switches(ANSW) are also investigated.

  • PDF

[ $\bar{X}$ ] Control Charts with Variable Sample Sizes and Variable Sampling Intervals

  • Lee, Jae-Heon
    • Journal of the Korean Data and Information Science Society
    • /
    • 제14권3호
    • /
    • pp.429-440
    • /
    • 2003
  • Variable sampling rate (VSR) control charts vary the sampling interval and/or the sample size according to value of the control statistic. It is known that $\bar{X}$ charts with VSR scheme lead to large improvements in performance over those with fixed sampling rate (FSR) scheme. In this paper, we studied $\bar{X}$ charts with several VSR schemes, and compared their statistical performance each other.

  • PDF

Comparison of two sampling intervals and three sampling intervals VSI charts for monitoring both means and variances

  • Chang, Duk-Joon
    • Journal of the Korean Data and Information Science Society
    • /
    • 제26권4호
    • /
    • pp.997-1006
    • /
    • 2015
  • In industrial quality control, when engineers use VSI control procedure they should consider both required time to signal and switching behaviors together in the case of production process changed. Up to the present, many researchers have studied fixed sampling interval (FSI) chart and variable sampling interval (VSI) chart in the points of average number of samples to signal (ANSS) and average time to signal (ATS). However, ANSS and ATS do not provide any switching information between different sampling intervals of VSI schemes. In this study, performances of two sampling intervals VSI chart and three sampling intervals VSI chart are evaluated and compared. The numerical results show that ANSS and ATS values of two sampling intervals VSI chart and three sampling interval VSI chart are similar regardless the amount of shifts. However, the values of switching behaviors including ANSW are less efficient in three sampling intervals VSI charts than in two sampling intervals VSI chart.

고정표본채취시점을 갖는 가변표본채취간격 다변량 $T^2$ 관리도 (A Variable Sampling Interval $T^2$ Control Chart with Sampling at Fixed Times)

  • 서종현;장영순
    • 산업경영시스템학회지
    • /
    • 제34권2호
    • /
    • pp.1-8
    • /
    • 2011
  • This paper proposes a variable sampling interval multivariate $T^2$ control chart with sampling at fixed times, where samples are taken at specified equally spaced fixed time points and additional samples are allowed between these fixed times when indicated by the preceding $T^2$ statistics. At fixed sampling points, the $T^2$ statistics are composed of all quality characteristics and a part of quality characteristics are selected to obtain $T^2$ statistics at additional sampling points. A Markov chain approach is used to evaluate the performance of the proposed chart. Numerical studies for the performance of the proposed chart show that the proposed chart reduces the observations obtained from a process and detects the assignable cause of a process with low correlated quality characteristics quickly.

Switching properties of CUSUM charts for controlling mean vector

  • Chang, Duk-Joon;Heo, Sun-Yeong
    • Journal of the Korean Data and Information Science Society
    • /
    • 제23권4호
    • /
    • pp.859-866
    • /
    • 2012
  • Some switching properties of multivariate control charts are investigated when the interval between two consecutive sample selections is not fixed but changes according to the result of the previous sample observation. Many articles showed that the performances of variable sampling interval control charts are more efficient than those of fixed sampling interval control charts in terms of average run length (ARL) and average time to signal (ATS). Unfortunately, the ARL and the ATS do not provide any information on how frequent a switch is being made. We evaluate several switching properties of two sampling interval Shewhart and CUSUM procedures for controlling mean vector of correlated quality variables.

Multivariate EWMA Control Chart for Means of Multiple Quality Variableswith Two Sampling Intervals

  • Chang, Duk-Joon;Heo, Sunyeong
    • 통합자연과학논문집
    • /
    • 제5권3호
    • /
    • pp.151-156
    • /
    • 2012
  • Because of the equivalence between control chart procedures and hypothesis testing, we propose to use likelihood ratio test (LRT) statistic $Z_i^2$ as the multivariate control statistic for simultaneous monitoring means of the multivariate normal process. Properties and comparisons of the proposed control charts are explored and conducted for matched fixed sampling interval (FSI) and variable sampling interval (VSI) with two sampling interval charts. The result of numerical comparisons shows that EWMA chart with two sampling interval procedure is more efficient than the corresponding FSI chart for small or moderate changes. When large shift of the process has occurred, we also found that Shewhart chart is more efficient than EWMA chart.

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

  • 이재헌;한정희
    • 품질경영학회지
    • /
    • 제33권4호
    • /
    • pp.117-122
    • /
    • 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.