There is growing literature on new versions of “memory‐type” control charts, where
deceptively good zero‐state average run‐length (ARL) performance is misleading. Using …

In this chapter, we provide an up-to-date overview of nonparametric Shewhart-type
univariate control charts. The monitoring schemes incorporated in the present literature …

During the last two decades, many new methods have appeared in statistical process
monitoring with synthetic‐type control charts being a prominent constituent. These charts …

Due to the high frequency of sensor data collection in modern industries, consecutive
observations are potentially autocorrelated. Failing to address this issue adequately when …

In this work we introduce two new classes of Shewhart-type control charts with
supplementary runs rules using a three or four region partition of the observed …

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 …

Adapted from the acceptance sampling field, the double sampling monitoring schemes
implement a two-stage strategy to decide whether the process being monitored is in-control …

Control charts for monitoring the coefficient of variation (γ) are useful for processes with an
inconsistent mean (μ) and a standard deviation (σ) which changes with μ, by monitoring the …

One of the most widely used multivariate control charts is the Hotelling T2. In order to
construct a Hotelling T2 control chart, the mean vector (μ) and the variance–covariance …

The use of the 2-of-(H+ 1) runs-rules and synthetic schemes to improve the performance of
the currently available X¯ schemes in monitoring the process mean under the combined …