Many extensions and modifications have been made to standard process monitoring
methods such as the exponentially weighted moving average (EWMA) chart and the …

In the context of distribution-free process monitoring and control, the Cucconi statistic has
attracted more and more attention in recent years. The original Cucconi statistic was …

For effective monitoring of the range of sustainable changes in the process median, a
nonparametric adaptive cumulative sum signed‐rank (NPACUSUM‐SR) control chart has …

Control charts may help keep industrial and manufacturing processes running smoothly and
optimize their performance. In situations when it is uncertain how the data will be distributed …

The homogeneously weighted moving average (HWMA) chart is a recent control chart that
has attracted the attention of many researchers in statistical process control (SPC). The …

Technology advancement and the need to produce quality products have necessitated the
development of more efficient process monitoring schemes. In the form of a combined triple …

Many existing monitoring schemes in the literature are based on the in-control (IC) average
or median run-length. Several Phase-II schemes frequently fail to protect against the high …

Statistical process monitoring (SPM) provides a way, by means of monitoring schemes, to be
alerted when a process significantly changes, and to initiate investigations for potential …

Distribution-free or nonparametric control charts are used for monitoring the process
parameters when there is a lack of knowledge about the underlying distribution. In this …

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 …