Results 11 to 20 of about 183,948 (218)
A STUDY OF THE MEDIAN RUN LENGTH (MRL) PERFORMANCE OF THE EWMA t CHART FOR THE MEAN
South African Journal of Industrial Engineering, 2012 The exponentially weighted moving average (EWMA) chart is effective in detecting small shifts. However, the EWMA chart is not robust enough to prevent errors in estimating the process standard deviation or a changing standard deviation.
Chin, W. S., Khoo, M. B. C.
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Enhanced cumulative sum charts for monitoring process dispersion. [PDF]
PLoS ONE, 2015 The cumulative sum (CUSUM) control chart is widely used in industry for the detection of small and moderate shifts in process location and dispersion. For efficient monitoring of process variability, we present several CUSUM control charts for monitoring
Mu'azu Ramat Abujiya +2 more
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IEEE Access, 2022 In statistical process monitoring, it is often assumed that the sequential observations generated by processes are independent and identically distributed (iid).
Yi Li, Tahir Munir, Xuelong Hu
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Nonparametric Double EWMA Control Chart for Process Monitoring
Revista Colombiana de Estadística, 2016 In monitoring process parameters, we assume normality of the quality characteristic of interest, which is an ideal assumption. In many practical situations, we may not know the distributional behavior of the data, and hence, the need arises use ...
MUHAMMAD RIAZ, SADDAM AKBER ABBASI
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Connection Science, 2022 The mixed control chart is proposed to improve detection performance with fewer process shifts. In this study, we proposed the modified exponentially weighted moving average - moving average control chart (MMEM), a new mixed control chart for observing ...
Khanittha Talordphop +2 more
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Mathematics, 2022 Shewhart charts are the most commonly utilised control charts for process monitoring in industries with the assumption that the underlying distribution of the quality characteristic is normal. However, this assumption may not always hold true in practice.
Jing Jia Zhou +4 more
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Water Particles Monitoring in the Atacama Desert: SPC Approach Based on Proportional Data
Axioms, 2021 Statistical monitoring tools are well established in the literature, creating organizational cultures such as Six Sigma or Total Quality Management. Nevertheless, most of this literature is based on the normality assumption, e.g., based on the law of ...
Anderson Fonseca +6 more
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Scientific Reports, 2023 In this study, we introduce an Adaptive Exponentially Weighted Moving based Coefficient of Variation (AEWMCV) control chart, designed to address situations where the process mean fluctuates over time and the standard deviation of the process changes ...
Afshan Riaz +5 more
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Monitoring Industrial Process using a Robust Modified Mean Chart
Austrian Journal of Statistics, 2019 Shewhart control chart is the most popular and widely used Statistical process Control tool to monitor process. It is developed under the assumption of independent and normally distributed process. In order to control process mean and standard deviation,
Marangattu R. Sindhumol +2 more
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On the Efficient Monitoring of Multivariate Processes with Unknown Parameters
Mathematics, 2020 Control charts are commonly used tools that deal with monitoring of process parameters in an efficient manner. Multivariate control charts are more practical and are of greater importance for timely detection of assignable causes in multiple quality ...
Nasir Abbas +4 more
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