On the Enhanced Surveillance Methods for High-quality Processes

Tahir Mahmood

doi:10.1109/IEEM55944.2022.9989769

On the Enhanced Surveillance Methods for High-quality Processes

Tahir Mahmood^*

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

1 Scopus citations

Abstract

Nowadays, processes are equipped with advanced tools; therefore, they produce near zero-defect items and are termed as high-quality processes. The high-quality data often follows the Zero-Inflated Poisson or Negative Binomial (ZIP or ZINB) distributions. In literature, most surveillance methods are designed to monitor ZIP and ZINB distributed quality characteristics. However, some covariates are also available along with the count-based quality characteristics of a process. Therefore, this study is intended to propose moving average (MA) and double MA (DMA) based surveillance methods designed on the ZIP and ZINB residuals (i.e., Pearson). A simulation-based study is carried out to evaluate the performance of proposed methods and their comparative results with an existing method using run-length properties. The findings reveal that the proposed MA and DMA methods outperformed the existing Shewhart chart. Moreover, a real-life example is presented, which supports the simulated results.

Original language	English
Title of host publication	IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
Publisher	IEEE Computer Society
Pages	369-373
Number of pages	5
ISBN (Electronic)	9781665486873
DOIs	https://doi.org/10.1109/IEEM55944.2022.9989769
State	Published - 2022
Event	2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 - Kuala Lumpur, Malaysia Duration: 7 Dec 2022 → 10 Dec 2022

Publication series

Name	IEEE International Conference on Industrial Engineering and Engineering Management
Volume	2022-December
ISSN (Print)	2157-3611
ISSN (Electronic)	2157-362X

Conference

Conference	2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022
Country/Territory	Malaysia
City	Kuala Lumpur
Period	7/12/22 → 10/12/22

Bibliographical note

Publisher Copyright:
© 2022 IEEE.

Keywords

High-yield Processes
Moving Average
Statistical Process Control
Zero-inflated models

ASJC Scopus subject areas

Business, Management and Accounting (miscellaneous)
Industrial and Manufacturing Engineering
Safety, Risk, Reliability and Quality

Access to Document

10.1109/IEEM55944.2022.9989769

Cite this

Mahmood, T. (2022). On the Enhanced Surveillance Methods for High-quality Processes. In IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022 (pp. 369-373). (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2022-December). IEEE Computer Society. https://doi.org/10.1109/IEEM55944.2022.9989769

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abstract = "Nowadays, processes are equipped with advanced tools; therefore, they produce near zero-defect items and are termed as high-quality processes. The high-quality data often follows the Zero-Inflated Poisson or Negative Binomial (ZIP or ZINB) distributions. In literature, most surveillance methods are designed to monitor ZIP and ZINB distributed quality characteristics. However, some covariates are also available along with the count-based quality characteristics of a process. Therefore, this study is intended to propose moving average (MA) and double MA (DMA) based surveillance methods designed on the ZIP and ZINB residuals (i.e., Pearson). A simulation-based study is carried out to evaluate the performance of proposed methods and their comparative results with an existing method using run-length properties. The findings reveal that the proposed MA and DMA methods outperformed the existing Shewhart chart. Moreover, a real-life example is presented, which supports the simulated results.",

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doi = "10.1109/IEEM55944.2022.9989769",

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Mahmood, T 2022, On the Enhanced Surveillance Methods for High-quality Processes. in IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022. IEEE International Conference on Industrial Engineering and Engineering Management, vol. 2022-December, IEEE Computer Society, pp. 369-373, 2022 IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022, Kuala Lumpur, Malaysia, 7/12/22. https://doi.org/10.1109/IEEM55944.2022.9989769

On the Enhanced Surveillance Methods for High-quality Processes. / Mahmood, Tahir.
IEEE International Conference on Industrial Engineering and Engineering Management, IEEM 2022. IEEE Computer Society, 2022. p. 369-373 (IEEE International Conference on Industrial Engineering and Engineering Management; Vol. 2022-December).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

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On the Enhanced Surveillance Methods for High-quality Processes

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this