Exponentially weighted moving average-Moving average charts for monitoring the process mean. [PDF]
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. The performance of the proposed control chart are compared with Shewhart, MA, EWMA, MA-EWMA and EWMA-MA control charts by ...
Sukparungsee S, Areepong Y, Taboran R.
europepmc +6 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 ...
Areepong, Yupaporn +2 more
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Using the moving average and exponentially weighted moving average with COVID 19 [PDF]
Periodicals of Engineering and Natural Sciences (PEN), 2021 The study was concerned with clarifying the work of the quality control charts and their application in the health field, where the quality control charts for the moving average and the Exponential Weighted moving average were used to clarify the number ...
Al-joboori, Suhair Mohammed +3 more
core +6 more sources
Performance of new nonparametric Tukey modified exponentially weighted moving average-Moving average control chart. [PDF]
PLoS One, 2022 Control charts are an amazing and essential statistical process control (SPC) instrument that is commonly used in monitoring systems to detect a specific defect in the procedure. The mixed Tukey modified exponentially weighted moving average - moving average control chart (MMEM-TCC) with motivation detection ability for fewer shifts in the process mean
Talordphop K +2 more
europepmc +5 more sources
Nonparametric mixed exponentially weighted moving average-moving average control chart. [PDF]
Sci RepAbstractThis 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. The EWMA-MA charting statistic assigns more weight to information obtained from the recent $$w$$ w
Raza MA +5 more
europepmc +4 more sources
Triple exponentially weighted moving average control chart with measurement error. [PDF]
Sci Rep, 2023 AbstractMeasurement 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. To monitor shifts in process mean and dispersion, Exponentially Weighted Moving Average (EWMA) and Cumulative Sum (CUSUM) control charts are commonly employed ...
Wang J +4 more
europepmc +4 more sources
Interval Type-2 fuzzy Exponentially Weighted Moving Average Control Chart [PDF]
Statistics in Transition New Series, 2022 Abstract Some industrial data often come with uncertainty, which in some cases depends on the decision of those responsible for taking the measurement in the production process. While the fuzzy approach helps to tackle the ambiguity that arises in the measurement, an interval type-2 fuzzy set deals with such uncertainty better due to its
Akeem Ajibola Adepoju +3 more
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New extended exponentially weighted moving average control chart for monitoring process mean. [PDF]
HeliyonJaved H, Ismail M, Saeed N.
europepmc +2 more sources
Moving Sum versus Exponentially Weighted Moving Average Tests
, 2015 (Deutsch:) Die Arbeit „Moving Sum versus Exponentially Weighted Moving Average Tests“ führt ein aus der Statistischen Prozesskontrolle (SPC) bekanntes Verfahren zur Detektion von Strukturbrüchen in laufenden Zeitreihen in die Ökonometrie ein und vergleicht dieses mit dort etablierten Tests.
Dominik Wullers
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A one-sided exponentially weighted moving average control chart for time between events. [PDF]
J Appl Stat, 2022 Xie F +4 more
europepmc +3 more sources