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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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The Influence of Specimen Misalignment on Wear in Conforming Pin on Disk Tests [PDF]
, 2004 A pin-on-disk test apparatus was modified to decrease the degree of misalignment between the pin end and the disk counterface. This was achieved by separate alignment of both pin and disk.
Alcock, Jeffrey R. +2 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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Axioms, 2023 In industrial production, the exponentially weighted moving average scheme is widely used to monitor shifts in product quality, especially small-to-moderate shifts.
Dan Yu +5 more
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Monitoring Betaine Using Interval Time Between Events Control Chart
Frontiers in Nutrition, 2022 A generalization of moving average (MA) control chart for the exponential distribution under classical statistics is presented in this article. The designing of the MA control chart for the exponential distribution under neutrosophic statistics is also ...
Muhammad Saleem +2 more
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MathematicsProcess monitoring plays a vital role in ensuring quality stability, and, operational efficiency across fields such as manufacturing, finance, biomedical science, and environmental monitoring.
Jun-Hao Lu, Chang-Yun Lin
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A study on the performances of the run sum X̄ chart under the gamma process [PDF]
ITM Web of ConferencesThe run sum (RS) X̄ chart is known as a simple and powerful tool for monitoring the mean of a process. Most developments of the RS X̄ chart assume that the underlying process comes from a normal distribution.
Le Goh Kai +4 more
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