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Run rules schemes for statistical process monitoring: A literature review
Different control charts are developed for monitoring various types of quality characteristics
in the area of Statistical Process Monitoring (SPM). Moreover, new techniques are proposed …
in the area of Statistical Process Monitoring (SPM). Moreover, new techniques are proposed …
Enhanced distribution-free Cucconi schemes based on runs: An application to the surveillance of daily average customer service time
The measurement of daily average customer service times in a service centre holds
paramount importance as it serves as a key metric for assessing service performance and …
paramount importance as it serves as a key metric for assessing service performance and …
Shewhart-type monitoring schemes with supplementary w-of-w runs-rules to monitor the mean of autocorrelated samples
The simplicity of the Shewhart X¯ charts makes it popular in practice; however, it is
insensitive to detecting small shifts. In an effort to preserve its simplicity but increase its …
insensitive to detecting small shifts. In an effort to preserve its simplicity but increase its …
On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme
Runs‐rules have been widely used since the 1950s in industrial and nonindustrial process
monitoring applications to improve the performance of basic and other traditional monitoring …
monitoring applications to improve the performance of basic and other traditional monitoring …
Proposed nonparametric runs rules Lepage and synthetic Lepage schemes
The average daily customer waiting time in a service centre is one of the most important
metrics to measure performance or service quality. The average daily waiting time should …
metrics to measure performance or service quality. The average daily waiting time should …
One-sided precedence monitoring schemes for unknown shift sizes using generalized 2-of-(h+1) and w-of-w improved runs-rules
Parametric monitoring schemes are expected to perform better than their nonparametric
counterparts when the assumption of a specific form of a distribution such as the normal is …
counterparts when the assumption of a specific form of a distribution such as the normal is …
A side-sensitive double sampling X¯ monitoring scheme with estimated process parameters
CM Motsepa, JC Malela-Majika… - Communications in …, 2022 - Taylor & Francis
In statistical process monitoring (SPM), most of the monitoring schemes are designed
assuming that the process parameters for the underlying distribution are known (ie, Case K) …
assuming that the process parameters for the underlying distribution are known (ie, Case K) …
On the design of nonparametric runs‐rules schemes using the Markov chain approach
SC Shongwe - Quality and Reliability Engineering International, 2020 - Wiley Online Library
The aim of this paper is to highlight some concerns about the partly inaccurate manner in
which the currently available 2‐of‐2 and 2‐of‐3 simple and improved runs‐rules charts …
which the currently available 2‐of‐2 and 2‐of‐3 simple and improved runs‐rules charts …
[PDF][PDF] A new variable sampling size and interval synthetic and runs-rules schemes to monitor the process mean of autocorrelated observations with measurement …
Since the vast majority of the contributions in the statistical process monitoring (SPM) field
assumes that observations are:(i) iid (independent and identically distributed), and (ii) …
assumes that observations are:(i) iid (independent and identically distributed), and (ii) …
An improved Hotelling's T2 chart for monitoring a finite horizon process based on run rules schemes: A Markov‐chain approach
Quality improvement has been receiving great attention in industries. In recent years, the
finite horizon process is commonly encountered in industries due to flexible manufacturing …
finite horizon process is commonly encountered in industries due to flexible manufacturing …