A Group Runs Control Chart for Detecting Shifts in the Process Mean

Gadre, M. P.; Rattihalli, R. N.

doi:10.1515/eqc.2004.29

Cited by 37 publications

(32 citation statements)

References 9 publications

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“…The "Group Runs" (GR) chart proposed by Gadre and Rattihalli [10] which is a combination of the Shewhart's X chart with an extended version of sample based CRL chart. The GR chart outperforms the Shewhart's X chart and the synthetic chart.…”

Section: Group Run Control Chart For Detecting Shifts In the Process mentioning

confidence: 99%

“…Gadre and Rattihalli [10] considered the steady state performance of the group runs control chart for detecting shifts in the process mean. Also, Gadre and…”

Section: Steady State Behavior Of the Various Chartsmentioning

confidence: 99%

“…The development of the GR control chart [10] and MGR control chart [11] for univariate process has been documented by Gadre and Rattihalli. We propose the "Multivariate Group Runs control chart for Mean vector" Description of the related multivariate control charts for the mean vector is given in Section 2.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

Gadre¹,

Kakade²

2016

OJS

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In this article, we propose two control charts namely, the "Multivariate Group Runs' (MV-GR-M)" and the "Multivariate Modified Group Runs' (MV-MGR-M)" control charts, based on the multivariate normal processes, for monitoring the process mean vector. Methods to obtain the design parameters and operations of these control charts are discussed. Performances of the proposed charts are compared with some existing control charts. It is verified that, the proposed charts give a significant reduction in the out-of-control "Average Time to Signal" (ATS) in the zero state, as well in the steady state compared to the Hotelling's T 2 and the synthetic T 2 control charts.

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Section: Group Run Control Chart For Detecting Shifts In the Process mentioning

confidence: 99%

“…Gadre and Rattihalli [10] considered the steady state performance of the group runs control chart for detecting shifts in the process mean. Also, Gadre and…”

Section: Steady State Behavior Of the Various Chartsmentioning

confidence: 99%

See 1 more Smart Citation

Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

Gadre¹,

Kakade²

2016

OJS

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“…Therefore, when such an event occurs, it is desirable to monitor a process further to identify cause for the event (Y ≤ L s ). Considering an above fact, Gadre and Rattihalli (2004) proposed the 'Group Runs' (GR) control chart, which is an extension of the synthetic control chart. GR chart declares the process as out of control, if Y 1 (the first value of group-based CRL) ≤ L g , (the lower control limit of the chart) or for some r (≥ 2) Y r and Y (r +1) are not exceeding L g for the first time.…”

Section: Introductionmentioning

confidence: 99%

“…

Gadre and Rattihalli (2004) have introduced a 'Group Runs' (GR) control chart for detecting shifts in the process mean, which is an improvement on the synthetic control chart proposed by Wu and Spedding (2000). In this article, we develop the 'Side Sensitive Group Runs' (SSGR) chart to detect shifts in the process mean.

…”

mentioning

confidence: 99%

A Side Sensitive Group Runs Control Chart for Detecting Shifts in the Process Mean

Gadre¹,

Rattihalli²

2006

Stat. Meth. & Appl.

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Monitoring of Time‐Between‐Events with a Generalized Group Runs Control Chart

Yen

Khoo

Teh

et al. 2015

Quality & Reliability Eng

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Control charting methods for time between events (TBE) is important in both manufacturing and nonmanufacturing fields. With the aim to enhance the speed for detecting shifts in the mean TBE, this paper proposes a generalized group runs TBE chart to monitor the mean TBE of a homogenous Poisson failure process. The proposed chart combines a TBE subchart and a generalized group conforming run length subchart. The zero‐state and steady‐state performances of the proposed chart were evaluated by applying a Markov chain method. Overall, it is found that the proposed chart outperforms the existing TBE charts, such as the T, Tr, EWMA‐T, Synth‐Tr, and GR‐Tr charts. Copyright © 2015 John Wiley & Sons, Ltd.

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A Group Runs Control Chart for Detecting Shifts in the Process Mean

Cited by 37 publications

References 9 publications

Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

Some Group Runs Based Multivariate Control Charts for Monitoring the Process Mean Vector

A Side Sensitive Group Runs Control Chart for Detecting Shifts in the Process Mean

Monitoring of Time‐Between‐Events with a Generalized Group Runs Control Chart

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