A Synthetic Control Chart for Detecting Fraction Nonconforming Increases

Wu, Zhang; Yeo, Song Huat; Spedding, Trevor A

doi:10.1080/00224065.2001.11980051

Cited by 84 publications

(38 citation statements)

References 13 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…where M is a matrix of zeros except for m 11 The SSARL values for the synthetic VMAX chart are presented in Tables III, IV and V. In Table III (case I) and in Table IV (case II) Tables III and IV always present the ARL values for the |S| chart and for the VMAX chart. The synthetic VMAX chart is always more efficient than the |S| chart.…”

Section: Properties Of the Synthetic Vmax Chartmentioning

confidence: 96%

“…For the univariate case, many innovations have been proposed to improve the charts' performance, such as the CUSUM charts (see Page 1 and Reynolds and Stoumbos 2 ), the EWMA charts (see Lucas and Saccucci 3 and Costa and Rahim 4 ), the adaptive charts (see Costa 5,6 and De Magalhães et al 7 ), the double sampling charts (see Daudin 8 ) and the synthetic charts (see Wu and Spedding 9,10 , Wu et al 11 , Wu and Yeo 12 , Calzada and Scariano 13 , Davis and Woodall 14 , Scariano and Calzada 15 , Gadre and Rattihalli 16 , Chen and Huang 17 and Huang and Chen 18 ).…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

The synthetic control chart based on two sample variances for monitoring the covariance matrix

Machado

Costa

Rahim

2008

Quality & Reliability Eng

View full text Add to dashboard Cite

In this article, we propose a new statistic to control the covariance matrix of bivariate processes. This new statistic is based on the sample variances of the two quality characteristics, in short VMAX statistic. The points plotted on the chart correspond to the maximum of the values of these two variances. The reasons to consider the VMAX statistic instead of the generalized variance |S| are its faster detection of process changes and its better diagnostic feature, that is, with the VMAX statistic it is easier to identify the out-of-control variable. We study the synthetic chart based on the VMAX statistic. The proposed chart is always more efficient than the chart based on the generalized variance |S|. An example is presented to illustrate the application of the proposed chart.

show abstract

Section: Properties Of the Synthetic Vmax Chartmentioning

confidence: 96%

Section: Introductionmentioning

confidence: 99%

The synthetic control chart based on two sample variances for monitoring the covariance matrix

Machado

Costa

Rahim

2008

Quality & Reliability Eng

View full text Add to dashboard Cite

show abstract

Section: Synthetic Control Chart Using Sign Statisticmentioning

confidence: 99%

“…Wu et al (2001) proposed the synthetic control chart for fraction nonconforming and reported that the synthetic control chart has higher power of detecting out-of-control signal. Wu & Spedding (2001) developed the synthetic control charts for attributes. Khilare & Shirke (2010) proposed a nonparametric synthetic control chart using sign statistic and it performs significantly better than the Shewhart type X and sign control charts.…”

Section: Synthetic Control Chart Using Sign Statisticmentioning

confidence: 99%

Steady-state behavior of nonparametric control charts using sign statistic

Khilare¹,

Shirke

2015

Prod.

View full text Add to dashboard Cite

If process is running for a long period in an in-control condition, it will reach in a steady-state condition. In order to study the long term properties of a control chart, it is appropriate to investigate the steady-state average time to signal. In this article, we discussed runs rules representation of a nonparametric synthetic control chart using sign statistic for detecting shifts in location parameter. We compared zero-state average time to signal with steady-state average time to signal of the synthetic control chart for symmetric and asymmetric distributions. We also present the m-of-m control chart using sign statistic. For comparison study, we computed average time to signal of the m-of-m control chart, the sign chart (1-of-1 chart) and the synthetic control chart for normal, Cauchy, double exponential and gamma distributions. Steady-state and zero-state performance of the m-of-m control chart with m = 2, 3 compared with the sign chart (1-of-1 chart) and synthetic control chart. The zero-state and steady-state average time to signal of the synthetic and the m-of-m control charts computed using Markov chain approach.

show abstract

“…These values are plotted in the chart over time, and the process is declared to be out of control when a point falls outside the lower control limit or the upper control limit. Studies on the attribute control charts have a long history, but they are still being developed by many authors recently in the literature including, for example, Chan et al (2003), Epprecht and Costa (2001), Epprecht et al (2003), Wu et al (2001Wu et al ( , 2006Wu et al ( , 2009, Wu and Wang (2007), and Schoonhoven and Does (2012).…”

Section: Introductionmentioning

confidence: 99%

New Attributes and Variables Control Charts under Repetitive Sampling

Aslam¹,

Azam²

2014

Industrial Engineering and Management Systems

View full text Add to dashboard Cite

New control charts under repetitive sampling are proposed, which can be used for variables and attributes quality characteristics. The proposed control charts have inner and outer control limits so that repetitive sampling may be needed if the plotted statistic falls between the two limits. Particularly, the new np and variable X-bar control charts under repetitive sampling are considered in detail. The in-control and out-of-control average run lengths are analyzed according to various process shifts. The performance of the proposed control charts is compared with the existing np and the X-bar control charts in terms of the average run lengths.

show abstract

A Synthetic Control Chart for Detecting Fraction Nonconforming Increases

Cited by 84 publications

References 13 publications

The synthetic control chart based on two sample variances for monitoring the covariance matrix

The synthetic control chart based on two sample variances for monitoring the covariance matrix

Steady-state behavior of nonparametric control charts using sign statistic

New Attributes and Variables Control Charts under Repetitive Sampling

Contact Info

Product

Resources

About