Abdel-Salam G. Abdel-Salam

Journal article · 2023

Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes

Chelsea L. Jones, Abdel-Salam G. Abdel-Salam, D'Arcy Mays

Quality and Reliability Engineering International · 39(1), 164–189 · 2023

Profile monitoring and control charts

Abstract

In this work, both the cumulative sum (CUSUM) and exponentially weighted moving average (EWMA) control charts have been reconfigured to monitor processes using a Bayesian approach. Our construction of these charts are informed by posterior and posterior predictive distributions found using three loss functions: the squared error, precautionary, and linex. We use these control charts on count data, performing a simulation study to assess chart performance. Our simulations consist of sensitivity analysis of the out‐of‐control shift size and choice of hyper‐parameters of the given distributions. Practical use of theses charts are evaluated on real data.

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Details

Type
Journal article
Year
2023
Journal
Quality and Reliability Engineering International
Volume
39
Issue
1
Pages
164–189
Publisher
Wiley
DOI
10.1002/qre.3229
Open access
Unpaywall (publisher, cc-by)

Cite this work

Citation

Chelsea L. Jones, Abdel-Salam G. Abdel-Salam, D'Arcy Mays (2023). Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes. Quality and Reliability Engineering International, 39(1), 164–189. https://doi.org/10.1002/qre.3229

BibTeX Download .bib
@article{jones2023novel,
  author = {Chelsea L. Jones and Abdel-Salam G. Abdel-Salam and D'Arcy Mays},
  title = {Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes},
  year = {2023},
  journal = {Quality and Reliability Engineering International},
  volume = {39},
  number = {1},
  pages = {164--189},
  publisher = {Wiley},
  doi = {10.1002/qre.3229}
}
TY  - JOUR

AU  - Chelsea L. Jones

AU  - Abdel-Salam G. Abdel-Salam

AU  - D'Arcy Mays

TI  - Novel Bayesian CUSUM and EWMA control charts via various loss functions for monitoring processes

PY  - 2023

JO  - Quality and Reliability Engineering International

VL  - 39

IS  - 1

SP  - 164

EP  - 189

PB  - Wiley

DO  - 10.1002/qre.3229

UR  - https://doi.org/10.1002/qre.3229

ER  - 

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