Results 21 to 30 of about 217,841 (299)

Order statistics in control charts construction

open access: yesActa Universitatis Lodziensis. Folia Oeconomica, 2016
Order statistics are applied in construction of control charts that are used in statistical process control. Control charts monitor the average process level, volatility or extreme values: maximum and minimum.
Dorota Anna Pekasiewicz
doaj   +1 more source

Mixed Control Charts Using EWMA Statistics

open access: yesIEEE Access, 2016
In this paper, two mixed control charts are designed for process monitoring when the quality characteristic of interest follows a normal distribution.
Muhammad Aslam   +3 more
doaj   +1 more source

On Designing of Bayesian Shewhart-Type Control Charts for Maxwell Distributed Processes with Application of Boring Machine

open access: yesMathematics, 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
doaj   +1 more source

A Fuzzy EWMA Attribute Control Chart to Monitor Process Mean

open access: yesInformation, 2018
Conventional control charts are one of the most important techniques in statistical process control which are used to assess the performance of processes to see whether they are in- or out-of-control.
Muhammad Zahir Khan   +4 more
doaj   +1 more source

Poisson regression charts for the monitoring of surveillance time series [PDF]

open access: yes, 2006
This paper presents a Poisson control chart for monitoring time series of counts typically arising in the surveillance of infectious diseases. The in-control mean is assumed to be time-varying and linear on the log-scale with intercept and seasonal ...
Höhle, Michael
core   +1 more source

Fuzzy Approach to Statistical Control Charts

open access: yesJournal of Applied Mathematics, 2013
After investigating the advantages and disadvantages of current methods of statistical process control, it becomes important to overcome the disadvantages and then use the advantages to improve a method for monitoring a process with categorical ...
Shahryar Sorooshian
doaj   +1 more source

New Machine-Learning Control Charts for Simultaneous Monitoring of Multivariate Normal Process Parameters with Detection and Identification

open access: yesMathematics, 2023
Simultaneous monitoring of the process parameters in a multivariate normal process has caught researchers’ attention during the last two decades. However, only statistical control charts have been developed so far for this purpose.
Hamed Sabahno, Seyed Taghi Akhavan Niaki
doaj   +1 more source

Research on fuzzy control charts for fuzzy multilevel quality characteristics

open access: yesInternational Journal of Metrology and Quality Engineering, 2021
Fuzzy control charts are proposed to solve the problem that traditional control charts cannot be applied to fuzzy quality characteristics. First, fuzzy quality characteristics are converted to representative statistics, which are fuzzy mode ...
Zhou Juan, Huang Yuhang, Wu Zonghuan
doaj   +1 more source

Analysis of Traditional and Fuzzy Quality Control Charts to Improve Short-Run Production in the Manufacturing Industry

open access: yesJournal of Engineering, 2023
Quality control charts are limited to controlling one characteristic of a production process, and it needs a large amount of data to determine control limits to control the process.
Reyam Raheem Jabbar   +1 more
doaj   +1 more source

Robust kernel distance multivariate control chart using support vector principles [PDF]

open access: yes, 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
core   +1 more source

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