A fuzzy nonparametric Shewhart chart based on the bootstrap approach
International Journal of Applied Mathematics and Computer Science, 2015 In this paper, we consider a nonparametric Shewhart chart for fuzzy data. We utilize the fuzzy data without transforming them into a real-valued scalar (a representative value).
Wang Dabuxilatu, Hryniewicz Olgierd
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ANAEROBIC DIGESTION STABILITY TEST BY SHEWHART CONTROL CHART [PDF]
Engenharia Agrícola, 2017 The anaerobic digestion (AD) operation complexity raise the importance of stability testing to verify whether the operating conditions are under control and whether the process is working as required.
Michael S. Alcantara +3 more
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The Poisson CUSUM Chart for Monitoring Small Counts: Addressing the Estimation Uncertainty. [PDF]
Biom JABSTRACT This study addresses the impact of estimating in‐control parameters on the performance of the Poisson cumulative sum (CUSUM) chart in detecting an increase in the mean when the counts are small. To reduce false signals induced by estimation uncertainty, recommendations prescribe impractically large sample sizes or propose methods that widen ...
Heidema S +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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Prediction Intervals for Overdispersed Poisson Data and Their Application in Medical and Pre-Clinical Quality Control. [PDF]
Pharm StatABSTRACT In pre‐clinical and medical quality control, it is of interest to assess the stability of the process under monitoring or to validate a current observation using historical control data. Classically, this is done by the application of historical control limits (HCL) graphically displayed in control charts. In many applications, HCL are applied
Menssen M +4 more
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Designing an Effective Combined Shewhart-CUSUM Control Scheme with Exponentially Distributed Data [PDF]
International Journal of Mathematical, Engineering and Management Sciences, 2019 In this paper, the Combined Shewhart-CUSUM control scheme has been proposed to monitor the production process when the quality characteristic follows exponential distribution to quickly detect the shift in the process.
Dushyant Tyagi
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Robust kernel distance multivariate control chart using support vector principles [PDF]
, 2012 It is important to monitor manufacturing processes in order to improve product quality and reduce production cost. Statistical Process Control (SPC) is the most commonly used method for process monitoring, in particular making distinctions between ...
Chinnam, R. B. +2 more
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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
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Mathematics, 2023 The quality characteristic(s) are assumed to follow the normal distribution in many control chart constructions, although this assumption may not hold in some instances.
Fatimah Alshahrani +5 more
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Cost comparisons of modified X̅ chart for autocorrelated observations
International Journal of Metrology and Quality Engineering, 2016 This paper presents the economic design of modified X̅ chart for autocorrelated data and comparison with the economic design of Shewhart’s X̅ chart.
Prajapati D. R.
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