A Simple Approach for Monitoring Business Service Time Variation [PDF]
The Scientific World Journal, 2014 Control charts are effective tools for signal detection in both manufacturing processes and service processes. Much of the data in service industries comes from processes having nonnormal or unknown distributions.
Su-Fen Yang, Barry C. Arnold
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A novel Bayesian Max-EWMA control chart for jointly monitoring the process mean and variance: an application to hard bake process [PDF]
Scientific Reports, 2023 In this article, we introduce a novel Bayesian Max-EWMA control chart under various loss functions to concurrently monitor the mean and variance of a normally distributed process.
Javed Iqbal +5 more
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Neutrosophic multivariate EWMA control chart [PDF]
Decision Science Letters, 2023 The MEWMA chart is one of the traditional multivariate charts which are widely employed in inspecting the quality of manufacturing and services.
Wibawati Wibawati +2 more
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Monitoring of manufacturing process using bayesian EWMA control chart under ranked based sampling designs [PDF]
Scientific Reports, 2023 Control charts, including exponentially moving average (EWMA) , are valuable for efficiently detecting small to moderate shifts. This study introduces a Bayesian EWMA control chart that employs ranked set sampling (RSS) with known prior information and ...
Imad Khan +4 more
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Revisiting the one-sided EWMA control chart [PDF]
Journal of Applied Research on Industrial Engineering, 2022 Exponential Weighted Moving Average (EWMA) control charts have been widely used in Statistical Process Control (SPC) to detect small and persistent process shifts.
Duy Duong-Tran +2 more
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Mixed Control Charts Using EWMA Statistics [PDF]
IEEE Access, 2016 In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution. The mixed control chart starts with monitoring the number of non-conforming items but switches to monitoring using exponentially weighted moving average (EWMA) statistic or hybrid EWMA statistic when the
Muhammad Aslam +3 more
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Monitoring non-parametric profiles using adaptive EWMA control chart. [PDF]
Sci Rep, 2022 Abstract To monitor the quality of a process in statistical process control (SPC), considering a functional relationship between a dependent variable and one or more independent variables which is denoted as profile monitoring is becoming an increasingly common approach.
Abbasi SA, Yeganeh A, Shongwe SC.
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Performance of Bayesian EWMA control chart with measurement error under ranked set sampling schemes with application in industrial engineering [PDF]
Scientific Reports, 2023 The objective of this study is to investigate the behavior of the Bayesian exponentially weighted moving average (EWMA) control chart in the presence of measurement error (ME).
Yuzhen Wang +5 more
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Improved adaptive EWMA control chart for process location with applications in groundwater physicochemical parameters and glass manufacturing industry. [PDF]
PLoS ONE, 2022 The adaptive exponentially weighted moving average (AEWMA) control charts are the advanced form of classical memory control charts used for efficiently monitoring small-to-large shifts in the process parameters (location and/or dispersion).
Muhammad Arslan +5 more
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Comparative Analysis Between EWMA, DEWMA and Mixed Tukey EWMA Control Chart
Academic Science Journal, 2023 The control chart is a good tool for monitoring. Single and double exponential weighted moving average control charts are suitable charts to detect small shifts in the process parameters.
Kawa M. Jamal Rashid , Sozan S. Haydar
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