Browsing by Subject "EWMA"
Now showing items 1-9 of 9
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A new hwma dispersion control chart with an application to wind farm data
( MDPI AG , 2020 , Article)Recently, a homogeneously weighted moving average (HWMA) chart has been suggested for the efficient detection of small shifts in the process mean. In this study, we have proposed a new one-sided HWMA chart to effectively ... -
An Assorted Design for Joint Monitoring of Process Parameters: An Efficient Approach for Fuel Consumption
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Article)Due to high fuel consumption, we face the problem of not only the increased cost, but it also affects greenhouse gas emission. This paper presents an assorted approach for monitoring fuel consumption in trucks with the ... -
Bayesian EWMA control charts based on Exponential and transformed Exponential distributions
( John Wiley and Sons Ltd , 2021 , Article)In this paper, we proposed the Bayesian exponentially weighted moving average (EWMA) control charts for mean under the nonnormal life time distributions. We used the time between events data which follow the Exponential ... -
Exponentially weighted moving average control charts for monitoring coefficient of variation under ranked set-sampling schemes
( Taylor and Francis , 2021 , Article)Several coefficients of variation (CV) control charts under simple random schemes (SRS) have been proposed to monitor process relative variability. However, little attention has been given to investigating the performance ... -
Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes
( John Wiley and Sons Ltd , 2023 , Article)In this work, both the cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been reconfigured to monitor processes using a Bayesian approach. Our construction of these charts are ... -
On efficient estimation strategies in monitoring of linear profiles
( Springer London , 2018 , Article)A fundamental strategy to diminish variations in manufacturing process urged the practitioners to characterize the quality of a process by a relationship between the response variable and one or more explanatory variables ... -
On Model Selection for Autocorrelated Processes in Statistical Process Control
( John Wiley and Sons Ltd , 2017 , Article)Using traditional control charts to monitor autocorrelated processes is not beneficial, because it will lead us to misleading detections in the processes. One of the methods used to deal with the control charts for ... -
Poisson progressive mean control chart
( John Wiley and Sons Ltd , 2017 , Article)In real life applications, many process-monitoring problems in statistical process control are based on attribute data resulting from quality characteristics that cannot be measured on numerical or quantitative scales. For ... -
Practitioners guide on parametric, nonparametric, and semiparametric profile monitoring
( Wiley , 2021 , Article Review)Profile monitoring is one of the methods used in statistical process control ((Formula presented.)) to understand the functional relationship between response and explanatory variables by tracking this relationship and ...