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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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A Fuzzy EWMA Attribute Control Chart to Monitor Process Mean
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
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Fuzzy Approach to Statistical Control Charts
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
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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
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Research on fuzzy control charts for fuzzy multilevel quality characteristics
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
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Although the Shewhart chart is widely used in practice because of its simplicity, applying this control chart to monitor the mean of a process may lead to two types of problems. The first concerns the typically unknown parameters involved in the distribution, while the second concerns the validity of the assumption of normality itself. The objective of
openaire +2 more sources
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
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APSS – Software Support for Decision Making in Statistical Process Control
Purpose: SPC can be defined as the problem solving process incorporating many separate decisions including selection of the control chart based on the verification of the data presumptions.
Darja Noskievicova
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Control Charts for Multivariate Nonlinear Time Series
In this paper control charts for the simultaneous monitoring of the means and the variances of multivariate nonlinear time series are introduced. The underlying target process is assumed to be a constant conditional correlation process (cf. [3]).
Robert Garthoff +2 more
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ABSTRACT Background Timely cancer diagnosis in children and adolescents is important to improving outcomes. We aimed to quantify time to diagnosis and assess variations by patient, demographic and system‐level factors. Procedure We conducted a population‐based study of individuals aged 0–19 years diagnosed with one of 12 cancers from 2010 to 2022 in ...
Callum Mullen +5 more
wiley +1 more source

