Journal ArticleDOI
Effect of measurement error on joint monitoring of process mean and coefficient of variation
TLDR
In this paper, a control chart is used to monitor longitudinal measurements of a quality characteristic and detect undesirable causes of variability, such as measurement error may exist and deteriorate the quality characteristic.Abstract:
A control chart is used to monitor longitudinal measurements of a quality characteristic and detects undesirable causes of variability. In practice, measurement error may exist and deteriorate the ...read more
Citations
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Journal ArticleDOI
Maximum hybrid exponentially weighted moving average control chart in the presence of measurement error by using auxiliary information
Journal ArticleDOI
Effect of measurement uncertainty on combined quality control charts
TL;DR: In this paper , the authors investigated the effect of measurement errors on the performance of four well-established combined charts for monitoring the mean of normally distributed processes (Shewhart-CUSUM, ShewhartCrosier’s CUSUM and GWMA) and found that measurement errors significantly reduce the power of the combined charts.
Journal ArticleDOI
A literature review on joint control schemes in statistical process monitoring
TL;DR: In this article , a detailed review paper for simultaneous monitoring is conducted in 2013 which many reaserchers were attracted to publish papers in this field, and a meticulous content analysis (on the basis of 59 reviewed papers in the field of joint monitoring from 2013 to 2021) is exploited to classify the papers that includes joint control charts for statistical process monitoring (SPM), to identify the potential topics and present some suggestions for further studies in simultaneous monitoring.
Journal ArticleDOI
What Drives the Fluctuations of “Green” Development in China’s Agricultural Sector? An Entropy Method Approach
TL;DR: Zhang et al. as mentioned in this paper analyzed the spatial-temporal dynamics and coordination degree of agricultural green development index (AGDI) based on the evidence collected in China, it furthered explores the great significance of the five-dimensional systems in improving the level of agricultural sustainable development.
Journal ArticleDOI
A new EWMA median chart with measurement errors in short production runs–An application in yogurt cup filling process
TL;DR: In this paper , the authors presented an exponentially weighted moving average (EWMA) median chart for short production runs (SPR) (called EWMA SPR median chart), which improved the sensitivity of the Shewhart median chart in detecting mean shifts.
References
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Journal ArticleDOI
Use of Coefficient of Variation in Assessing Variability of Quantitative Assays
TL;DR: The mathematical relationship between the coefficient of variation associated with repeated measurements from quantitative assays and the expected fraction of pairs of those measurements that differ by at least some given factor is derived, i.e., the expected frequency of disparate results that are due to assay variability rather than true differences.
Journal ArticleDOI
Monitoring the Coefficient of Variation Using EWMA Charts
TL;DR: In this article, the authors suggest a new method to monitor the coefficient of variation (CV), a quality characteristic that has several applications in applied statistics and is receiving increasing attention in quality control.
Journal ArticleDOI
Effect of Measurement Error on Shewhart Control Charts
TL;DR: Significant measurement error often exists in quality control applications as mentioned in this paper, which is known to result in reduced power to detect a given change in the mean or variance of a quality chara...
Journal Article
A control chart for the coefficient of variation
TL;DR: In this paper, a chart is proposed that is similar to the S chart and uses rational groups of observations for monitoring the coefficient of variation, rather than the variance, must be constant.
Journal ArticleDOI
A new exponentially weighted moving average control chart for monitoring the coefficient of variation
TL;DR: A new EWMA chart for monitoring the process coefficient of variation is proposed and some numerical results and comparisons show that the new chart has an average run length performance that is superior to some other competing procedures.