New methods for phase II monitoring of multivariate simple linear profiles

Ghasemi, Zohre; Zeinal Hamadani, Ali; Ahmadi Yazdi, Ahmad

doi:10.1080/03610918.2023.2249268

Search citation statements

Order By: Relevance

Paper Sections

Select...

Profile1

Citation Types

Supporting

Mentioning

Contrasting

Year Published

2024

Publication Types

Select...

Article1

Relationship

Self Cite0

Independent1

Authors

Journals

Cited by 1 publication

(1 citation statement)

References 43 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Ghasemi et al [81] proposed three charts, namely, the MHWMA, MHWMA χ 2 , and the combination of the MHWMA2 and mixed multivariate EWMA-CUSUM (denoted as MWHMA_2/MMECD) charts to monitor multivariate simple linear profiles efficiently. The performances of these three charts were evaluated in terms of their ARL profiles.…”

Section: Profilementioning

confidence: 99%

Homogeneously Weighted Moving Average Control Charts: Overview, Controversies, and New Directions

Malela-Majika,

Human,

Chatterjee

2024

Mathematics

View full text Add to dashboard Cite

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.

show abstract

Section: Profilementioning

confidence: 99%