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Results in Engineering, 2023 Control charts are an extremely valuable tool in statistical process control (SPC) for processing information from a system or procedure over time and displaying statistically significant changes in data while also showing how a system or process is ...
Khanittha Talordphop +2 more
doaj +5 more sources
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
doaj +4 more sources
Nonparametric mixed exponentially weighted moving average-moving average control chart
Scientific ReportsThis research designed a distribution-free mixed exponentially weighted moving average-moving average (EWMA-MA) control chart based on signed-rank statistic to effectively identify changes in the process location.
Muhammad Ali Raza +5 more
doaj +4 more sources
An Adaptive Exponentially Weighted Moving Average Control Chart [PDF]
Technometrics, 2003 Lucas and Saccucci showed that exponentially weighted moving average (EWMA) control charts can be designed to quickly detect either small or large shifts in the mean of a sequence of independent observations. But a single EWMA chart cannot perform well for small and large shifts simultaneously.
Giovanna Capizzi, Guido Masarotto
exaly +3 more sources
Mixed Tukey Exponentially Weighted Moving Average-Modified Exponentially Weighted Moving Average Control Chart for Process Monitoring [PDF]
Emerging Science Journal, 2023 The goal of this study is to present the mixed Tukey exponentially weighted moving average-modified exponentially weighted moving average control chart (MEME-TCC) for monitoring process location with symmetric and skewed distributions in an attempt to significantly improve detection ability. With the benefits of nonparametric assumption robustness. The
Khanittha Talordphop +2 more
openaire +3 more sources
Exponentially weighted moving average-Moving average charts for monitoring the process mean.
PLoS ONE, 2020 This research aimed to propose a newly-mixed control chart called the Exponentially Weighted Moving Average-Moving Average Chart (EWMA-MA) to detect the mean change in a process underlying symmetric and asymmetric distributions.
Saowanit Sukparungsee +2 more
doaj +3 more sources
Triple exponentially weighted moving average control chart with measurement error
Scientific Reports, 2023 Measurement error (M.E) can have a substantial impact on quality control applications, diminishing the sensitivity to detect changes in the mean or variance of quality characteristics.
Jing Wang +4 more
doaj +2 more sources
Applied Sciences, 2020 Recently, a number of data analysists have suffered from an insufficiency of historical observations in many real situations. To address the insufficiency of historical observations, self-starting forecasting process can be used.
Jaehong Yu +3 more
doaj +2 more sources
A New X-Bar Control Chart for Using Neutrosophic Exponentially Weighted Moving Average
Mathematics, 2019 The existing Shewhart X-bar control charts using the exponentially weighted moving average statistic are designed under the assumption that all observations are precise, determined, and known.
Muhammad Aslam +2 more
doaj +2 more sources
Enhancing the Performance of Exponentially Weighted Moving Average Charts: Discussion
Quality and Reliability Engineering International, 2014 Abbas et al. (Abbas N, Riaz M, Does RJMM. Enhancing the performance of EWMA charts. Quality and Reliability Engineering International 2011; 27(6):821–833) proposed the use of signaling schemes with exponentially weighted moving average charts (named as 2/2 and modified − 2/3 schemes) for their improved design structures.
Nasir Abbas +2 more
openaire +3 more sources