Gauge imprecision effect on the performance of the<i>X-S</i>control chart

Mittag, Hans-Joachim; Stemann, Dietmar

doi:10.1080/02664769823043

Cited by 46 publications

(20 citation statements)

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“…The effect of measurement error on the joinedX-S control chart was studied by Mittag [16] as well as Mittag and Stemann [17]. Linna and Woodall [11] extended the model considered by Bennet [2].…”

Section: Introductionmentioning

confidence: 99%

Measurement error effect on the CUSUM control chart

Maravelakis¹

2012

Journal of Applied Statistics

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The performance of the cumulative sum (CUSUM) control chart for the mean when measurement error exists is investigated. It is shown that the CUSUM chart is greatly affected by the measurement error. A similar result holds for the case of the CUSUM chart for the mean with linearly increasing variance. In this paper, we consider multiple measurements to reduce the effect of measurement error on the charts performance. Finally, a comparison of the CUSUM and EWMA charts is presented and certain recommendations are given.

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Section: Introductionmentioning

confidence: 99%

Measurement error effect on the CUSUM control chart

Maravelakis¹

2012

Journal of Applied Statistics

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“…Moreover, the variable under interest may be related through a covariate with the measurement system used. Mittag & Stemann (1998) examined the effect of measurement error on the joined X ñS control chart assuming the model of the form YóXò , where X is the actual value of the variable and Y is the measured value because of the random error . extended the preceding model by assuming one with covariates and they investigated the effect of this model on the X and S2 control charts.…”

Section: Introductionmentioning

confidence: 99%

EWMA Chart and Measurement Error

Maravelakis

Panaretos

Psarakis

2004

Journal of Applied Statistics

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“…In this article we will use the so-called algorithmic CUSUM chart. For instance, a CUSUM version of the P total chart, can be based on the standardized statistic Z total shown in (8). This two-sided CUSUM chart uses the statistics…”

Section: Cusum Charts Based On Sampling Proportionsmentioning

confidence: 99%

On‐line evaluation of the stability of an inspection process

GonzÃ¡lez

SÃ¡nchez

2009

Appl Stoch Models Bus & Ind

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SUMMARYThis article proposes control charts to monitor an inspection process based on the defective proportion of the inspected parts. The focus is on inspection process where the incoming parts form a sequence of independent units, such as unrelated clients arriving at a service facility. An example of this kind of inspection process is the periodic motor vehicle (PMVI) inspection. The effectiveness of the proposed control is evaluated using Monte Carlo experiments and is applied to an actual PMVI station.

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Gauge imprecision effect on the performance of theX-Scontrol chart

Cited by 46 publications

References 1 publication

Measurement error effect on the CUSUM control chart

Measurement error effect on the CUSUM control chart

EWMA Chart and Measurement Error

On‐line evaluation of the stability of an inspection process

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