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 …
A novel run rules based MEWMA scheme for monitoring general linear profiles
Although enhancing the detection ability of control charts with run-rules scheme is very
common, this approach received little attention in profile monitoring in which the quality of a …
common, this approach received little attention in profile monitoring in which the quality of a …
A new approach for designing the Shewhart-type control charts with generalized sensitizing rules
Two commonly used approaches for developing a Shewhart-type control chart with
sensitizing rules are; the Markov Chain approach (MCA) and the single polynomial …
sensitizing rules are; the Markov Chain approach (MCA) and the single polynomial …
Exact computational methods for univariate and multivariate control charts under runs rules
This article proposes efficient computational methods for designing and evaluating phases
of Shewhart type control charts under runs rules. The efficient computational methods …
of Shewhart type control charts under runs rules. The efficient computational methods …
A combined mixed-s-skip sampling strategy to reduce the effect of autocorrelation on the X̄ scheme with and without measurement errors
SC Shongwe, JC Malela-Majika… - Journal of Applied …, 2021 - Taylor & Francis
In order to reduce the effect of autocorrelation on the X¯ monitoring scheme, a new sampling
strategy is proposed to form rational subgroup samples of size n. It requires sampling to be …
strategy is proposed to form rational subgroup samples of size n. It requires sampling to be …
Process Capability Assessment for Auto-Correlated Data in the Presence of Measurement Errors
MZ Anis, K Bera - International Journal of Reliability, Quality and …, 2022 - World Scientific
In this paper, we shall discuss some statistical properties of the estimator of C p when
sample observations are autocorrelated and affected by measurement errors. The presence …
sample observations are autocorrelated and affected by measurement errors. The presence …
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 …
On monitoring the process mean of autocorrelated observations with measurement errors using the w‐of‐w runs‐rules scheme
SC Shongwe, JC Malela‐Majika… - Quality and Reliability …, 2020 - Wiley Online Library
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 …
A new double sampling scheme to monitor the process mean of autocorrelated observations using an AR (1) model with a skip sampling strategy
SC Shongwe, JC Malela-Majika - Computers & Industrial Engineering, 2021 - Elsevier
There are numerous academic researches on statistical process monitoring schemes that
assume that sequential observations are independent and identically distributed (iid); …
assume that sequential observations are independent and identically distributed (iid); …
Exponentially weighted moving average chart with a likelihood ratio test for monitoring autocorrelated processes
FK Wang, XB Cheng - Quality and Reliability Engineering …, 2020 - Wiley Online Library
In this article, an exponential weighted moving average chart based on a likelihood ratio test
is developed to monitor the mean and variance shifts simultaneously for autocorrelated …
is developed to monitor the mean and variance shifts simultaneously for autocorrelated …