Abstract:
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 HWMA
statistic assigns a higher weight to the most recent sample, and the rest is divided equally between the
previous samples. This weight structure makes the HWMA chart more sensitive to small shifts in the
process parameters when running in zero-state mode. Many scholars have reported its superiority
over the existing charts when the process runs in zero-state mode. However, several authors have
criticized the HWMA chart by pointing out its poor performance in steady-state mode due to its
weighting structure, which does not reportedly comply with the SPC standards. This paper reviews
and discusses all research works on HWMA-related charts (i.e., 55 publications) and provides future
research ideas and new directions.
