Process monitoring is regarded as a continuous phenomenon requiring careful
consideration to acquire an enhanced output quality. Dispersion and location are significant …

Monitoring multivariate and high-dimensional data streams is often an essential requirement
for quality management in manufacturing and service sectors in the Industry 4.0 era …

A single distribution‐free (nonparametric) Shewhart‐type chart on the basis of the Lepage
statistic is well known in literature for simultaneously monitoring both the location and the …

We generalize popular distribution-free (nonparametric) Shewhart–Lepage scheme for
simultaneously monitoring of location and scale parameters using an adaptive approach …

Two new distribution-free Lepage-type statistical process monitoring schemes are proposed.
One is the double exponentially weighted moving average Lepage scheme, and the other is …

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 …

Since their introduction in the 1920s, control charts have played a key role in process
monitoring and control in a variety of areas, from manufacturing to healthcare. Many of these …

Control charts play a vital role in process monitoring to ensure the product's desired
standards. Due to rapid improvements in data collection methods, multivariate charts are …

Process monitoring is a continuous phenomenon and it needs careful attention for an
improved quality of output. Location and dispersion parameters play a vital role in regulating …

From monitoring network traffic to health care systems, product quality to customer
satisfaction, system reliability to certain economic parameters, Statistical Process Monitoring …