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Design of an EWMA control chart by adaptation of smoothing constant based on a function of estimated shift [PDF]
Scientific ReportsThis study introduces a novel Adaptive EWMA (AEWMA) control chart designed to monitor the mean of a normally distributed process with enhanced responsiveness.
Hadeel AlQadi +5 more
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Improved bootstrap X¯ control chart for non-normally distributed data [PDF]
MethodsXThis article proposes new method to improve the performance of bootstrap control chart for non-normal data. Bootstrap control charts for monitoring data require attention because the average run length (ARL) results of the bootstrap control charts can be
Sukma Adi Perdana +2 more
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Max-mixed EWMA control chart for joint monitoring of mean and variance: an application to yogurt packing process [PDF]
Scientific ReportsThe Max-Mixed EWMA Exponentially Weighted Moving Average (MM EWMA) control chart is a statistical process control technique used for joint monitoring of the mean and variance of a process.
Seher Malik +6 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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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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Frontiers in Applied Mathematics and Statistics, 2023 When initial sample information falls short of enabling industrial engineers to confidently make decisions about lot quality assessment, repetitive sampling emerges as a solution.
Jose J. Muñoz +2 more
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Self‐adapting control charts [PDF]
Statistica Neerlandica, 2006 When the distributional form of the observations differs from normality, standard control charts are often prone to serious errors. Such model errors can be avoided by using (modified) nonparametric control charts. Unfortunately, these control charts suffer from large stochastic errors caused by estimation.
Albers, Willem, Kallenberg, Wilbert C.M.
openaire +2 more sources
Performance of a New Time-Truncated Control Chart for Weibull Distribution Under Uncertainty
International Journal of Computational Intelligence Systems, 2021 To detect indeterminacy effect in the manufacturing process, attribute control chart using neutrosophic Weibull distribution is proposed in this paper. To make the attribute control chart more efficient for persistent shifts in the industrial process, an
Ali Hussein AL-Marshadi +3 more
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Control charts for monitoring drip irrigation with different hydraulic heads
Revista Ambiente & Água, 2020 This study monitored a drip irrigation system with different hydraulic heads, using control charts. The study included 25 tests, and was conducted at the Experimental Nucleus of Agricultural Engineering of the State University of Western Paraná, located ...
Allan Remor Lopes +4 more
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A new alternative Hotelling’s T2 control chart using MEWMA to monitor minimal mean deviation [PDF]
MATEC Web of Conferences, 2021 Hotelling T2 control chart not only reflects the correla-tions between different quality characteristics but also has good efficiency on monitoring multivariate quality characteristics in production process.
Wang Kunyun, Li Qianqian, Li Guangdong
doaj +1 more source