A major tool for quality control and management, statistical process control (SPC) monitors
sequential processes, such as production lines and Internet traffic, to ensure that they work …

Nonparametric or distribution-free charts are useful in statistical process control when there
is a lack of or limited knowledge about the underlying process distribution. Most existing …

This paper considers the problem of monitoring the mean of a normally distributed process
variable when the objective is to effectively detect both small and large shifts in this mean …

Fault detection and root cause identification are both important tasks in Multivariate
Statistical Process Control (MSPC) for improving process and product quality. Most …

We consider the problem of detecting abrupt changes in the distribution of a multi-
dimensional time series, with limited computing power and memory. In this paper, we …

Statistical process control (SPC) consists of various tools for effective monitoring of the
production processes and services to ensure their stable and satisfactory performance. A …

This research designed a distribution-free mixed exponentially weighted moving average-
moving average (EWMA-MA) control chart based on signed-rank statistic to effectively …

The adaptive EWMA control chart can dynamically adjust the smoothing parameter
according to the current prediction error. It has good overall performance in monitoring …

The early detection of disease for public health inventions presents many research
challenges involving data integration and simulation, multivariate spatio-temporal clustering …

This paper investigates generalized likelihood ratio (GLR) control charts for the problem of
monitoring the mean and variance of a normally distributed process variable when the …