Results 131 to 140 of about 169 (169)
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A sum of squares double exponentially weighted moving average chart
Computers & Industrial Engineering, 2011The sum of squares double exponentially weighted moving average (SS-DEWMA) chart is proposed to improve the performance of the single SS-EWMA chart, in the detection of initial out-of-control signals. The SS-DEWMA chart uses the sum of squares statistic and it simultaneously monitors the process mean and variance in a single chart.
Sin Yin Teh +2 more
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Increasing the efficiency of double moving average chart using auxiliary variable
Journal of Statistical Computation and Simulation, 2021The control chart is the most important tool in the statistical process control to monitor the industrial process.
Muhammad Wasim Amir +5 more
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A double homogeneously weighted moving average control chart for monitoring of the process mean
Quality and Reliability Engineering International, 2020AbstractIn the service and manufacturing industry, memory‐type control charts are extensively applied for monitoring the production process. These types of charts have the ability to efficiently detect disturbances, especially of smaller amount, in the process mean and/or dispersion.
Muhammad Abid +4 more
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A new nonparametric double exponentially weighted moving average control chart
Quality and Reliability Engineering International, 2019AbstractThere are many practical situations where the underlying distribution of the quality characteristic either deviates from normality or it is unknown. In such cases, practitioners often make use of the nonparametric control charts. In this paper, a new nonparametric double exponentially weighted moving average control chart on the basis of the ...
Muhammad Ali Raza +4 more
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A double exponentially weighted moving average chart for time between events
Communications in Statistics - Simulation and Computation, 2019tIn high quality processes when the events occur rarely, the times between events (TBE) are observed and also monitored instead of the number of events.
Vasileios Alevizakos +1 more
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Double moving average–EWMA control chart for exponentially distributed quality
Communications in Statistics - Simulation and Computation, 2017A control chart is an ever-popular tool for monitoring the production process. The early detection of a process shift, if any, is the desire of the quality control personnel.
Muhammad Aslam 0002 +3 more
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Measuring the performance improvement of a double generally weighted moving average control chart
Expert Systems with Applications, 2014A new control chart SS-DGWMA is proposed to detect the shifts of a process.Simulations are performed to evaluate the average run length and standard deviation of run length of these three charts.The ARL1s and SDRL1s of the new chart are smaller than those of the other two chart.The performance of the new chart is superior to that of the other two ...
Chi-Jui Huang, Shih-Hung Tai, Shin-Li Lu
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Transactions of the Institute of Measurement and Control, 2018
A double exponentially weighted moving average chart has been proven more efficient for monitoring process mean in comparison to the classical exponentially weighted moving average chart. We, in this article, made a careful investigation on how well this scheme performs with the presence of disturbances in the process under consideration.
Ishaq Adeyanju Raji +2 more
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A double exponentially weighted moving average chart has been proven more efficient for monitoring process mean in comparison to the classical exponentially weighted moving average chart. We, in this article, made a careful investigation on how well this scheme performs with the presence of disturbances in the process under consideration.
Ishaq Adeyanju Raji +2 more
openaire +1 more source
A double exponentially weighted moving average control chart for monitoring COM‐Poisson attributes
Quality and Reliability Engineering International, 2019AbstractThe Conway‐Maxwell‐Poisson (COM‐Poisson) distribution is a two‐parameter generalization of the Poisson distribution, which can be used for overdispersed or underdispersed count data and also contains the geometric and Bernoulli distributions as special cases.
Vasileios Alevizakos +1 more
openaire +1 more source

