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 many industrial processes, the quality characteristic of interest has a relation (linear or
non-linear) with other supporting variable (s). Simple linear profile is a well-known term used …

Every industrial process has to encounter two types of variation in product characteristic (s)
that can be classified as common and special cause variations. These variations can exist in …

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 …

Tukey control chart (TCC) is a popular choice for robust monitoring of process parameters.
With the advancement in technology, we develop refined techniques that incorporate …

Quality has become a key determinant of success in all aspects of industry. Exponentially
weighted moving average control chart is an important tool of statistical process control used …

Exponentially weighted moving average (EWMA) control charts have been widely accepted
because of their excellent performance in detecting small to moderate shifts in the process …

The EWMA charts are the well-known memory-type charts used for monitoring the small-to-
intermediate shifts in the process parameters (location and/or dispersion). The hybrid EWMA …

The exponentially weighted moving average (EWMA) control chart is a well‐known
statistical process monitoring tool because of its exceptional pace in catching infrequent …

Exponentially weighted moving average (EWMA) control charts are mostly used to monitor
the manufacturing processes. In this paper, we propose some improved EWMA control …