On monitoring process variability under double sampling scheme

Shabbir Ahmad; Muhammad Riaz; Saddam Akber Abbasi; Zhengyan Lin

doi:10.1016/j.ijpe.2012.12.015

On monitoring process variability under double sampling scheme

Shabbir Ahmad^*
, Muhammad Riaz
, Saddam Akber Abbasi
, Zhengyan Lin

^*Corresponding author for this work

Department of Mathematics

Research output: Contribution to journal › Article › peer-review

67 Scopus citations

Abstract

The presence of variation in all manufacturing and measurement processes is a natural phenomenon and is the key factor which affects the performance of all types of processes. A better understanding of the causes of variability in any processes is necessary to improve the process. For an efficient monitoring of process variability, we have suggested a set of variance type control charts based on auxiliary characteristics and evaluated their performances in terms of Average Time to Signal (ATS) (the performance measure at every point of variability shift) and Average Extra Quadratic Loss (AEQL) (the performance measure over the whole process shift range) under normal and gamma process environments. We have also examined the effects of contaminated environments on the ATS performance of different variance based charting structures. Illustrative examples on some selective variance type control structures are also provided for procedural details. Finally we have closed with concluding remarks about this study.

Original language	English
Pages (from-to)	388-400
Number of pages	13
Journal	International Journal of Production Economics
Volume	142
Issue number	2
DOIs	https://doi.org/10.1016/j.ijpe.2012.12.015
State	Published - Apr 2013

Bibliographical note

Funding Information:
This work was supported by the National Natural Science Foundation of China (No. 11171303 ) and the Specialized Research Fund for the Doctor Program of Higher Education (No. 20090101110020 ). The authors are thankful to editor, associate editor and the referees for their helpful comments and suggestions that greatly improved the article. The author Muhammad Riaz is indebted to King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia for providing excellent research facilities.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

SDG 9 Industry, Innovation, and Infrastructure

Keywords

Auxiliary information
Average Extra Quadratic Loss (AEQL)
Average Run Length (ARL)
Average Time to Signal (ATS)
Contamination
Exponential estimators
Trivariate normal and gamma distributions
Variability charts

ASJC Scopus subject areas

General Business, Management and Accounting
Economics and Econometrics
Management Science and Operations Research
Industrial and Manufacturing Engineering

Access to Document

10.1016/j.ijpe.2012.12.015

Cite this

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title = "On monitoring process variability under double sampling scheme",

abstract = "The presence of variation in all manufacturing and measurement processes is a natural phenomenon and is the key factor which affects the performance of all types of processes. A better understanding of the causes of variability in any processes is necessary to improve the process. For an efficient monitoring of process variability, we have suggested a set of variance type control charts based on auxiliary characteristics and evaluated their performances in terms of Average Time to Signal (ATS) (the performance measure at every point of variability shift) and Average Extra Quadratic Loss (AEQL) (the performance measure over the whole process shift range) under normal and gamma process environments. We have also examined the effects of contaminated environments on the ATS performance of different variance based charting structures. Illustrative examples on some selective variance type control structures are also provided for procedural details. Finally we have closed with concluding remarks about this study.",

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author = "Shabbir Ahmad and Muhammad Riaz and Abbasi, \{Saddam Akber\} and Zhengyan Lin",

note = "Funding Information: This work was supported by the National Natural Science Foundation of China (No. 11171303 ) and the Specialized Research Fund for the Doctor Program of Higher Education (No. 20090101110020 ). The authors are thankful to editor, associate editor and the referees for their helpful comments and suggestions that greatly improved the article. The author Muhammad Riaz is indebted to King Fahd University of Petroleum and Minerals Dhahran Saudi Arabia for providing excellent research facilities. ",

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AB - The presence of variation in all manufacturing and measurement processes is a natural phenomenon and is the key factor which affects the performance of all types of processes. A better understanding of the causes of variability in any processes is necessary to improve the process. For an efficient monitoring of process variability, we have suggested a set of variance type control charts based on auxiliary characteristics and evaluated their performances in terms of Average Time to Signal (ATS) (the performance measure at every point of variability shift) and Average Extra Quadratic Loss (AEQL) (the performance measure over the whole process shift range) under normal and gamma process environments. We have also examined the effects of contaminated environments on the ATS performance of different variance based charting structures. Illustrative examples on some selective variance type control structures are also provided for procedural details. Finally we have closed with concluding remarks about this study.

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KW - Variability charts

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On monitoring process variability under double sampling scheme

Abstract

Bibliographical note

UN SDGs

Keywords

ASJC Scopus subject areas

Access to Document

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Cite this