A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

Mansour Sattam Aldosari; Muhammad Aslam; Chi-Hyuck Jun

doi:10.1109/access.2017.2687523

A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

Mansour Sattam Aldosari, Muhammad Aslam, Chi-Hyuck Jun

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

32 Scopus citations

Abstract

In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.

Original language	English (US)
Pages (from-to)	6192-6197
Number of pages	6
Journal	IEEE Access
Volume	5
DOIs	https://doi.org/10.1109/access.2017.2687523
State	Published - Mar 25 2017

Bibliographical note

KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): PS-37-1923
Acknowledgements: The authors are deeply thankful to editor and reviewers for their valuable suggestions to improve the quality of manuscript. This project was funded by KAUST, Saudi Arabia with project No. PS-37-1923. Therefore, authors are thank to KAUST for financial and technical support.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.

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10.1109/access.2017.2687523

Cite this

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title = "A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling",

abstract = "In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.",

author = "Aldosari, {Mansour Sattam} and Muhammad Aslam and Chi-Hyuck Jun",

note = "KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): PS-37-1923 Acknowledgements: The authors are deeply thankful to editor and reviewers for their valuable suggestions to improve the quality of manuscript. This project was funded by KAUST, Saudi Arabia with project No. PS-37-1923. Therefore, authors are thank to KAUST for financial and technical support. This publication acknowledges KAUST support, but has no KAUST affiliated authors.",

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doi = "10.1109/access.2017.2687523",

language = "English (US)",

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AU - Aldosari, Mansour Sattam

AU - Aslam, Muhammad

AU - Jun, Chi-Hyuck

N1 - KAUST Repository Item: Exported on 2020-10-01 Acknowledged KAUST grant number(s): PS-37-1923 Acknowledgements: The authors are deeply thankful to editor and reviewers for their valuable suggestions to improve the quality of manuscript. This project was funded by KAUST, Saudi Arabia with project No. PS-37-1923. Therefore, authors are thank to KAUST for financial and technical support. This publication acknowledges KAUST support, but has no KAUST affiliated authors.

PY - 2017/3/25

Y1 - 2017/3/25

N2 - In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.

AB - In this manuscript, a new attribute control chart using multiple dependent state repetitive sampling is designed. The operational procedure and structure of the proposed control chart is given. The required measures to determine the average run length (ARL) for in-control and out-of-control processes are given. Tables of ARLs are reported for various control chart parameters. The proposed control chart is more sensitive in detecting a small shift in the process as compared to the existing attribute control charts. The simulation study shows the efficiency of the proposed chart over the existing charts. An example is given for the illustration purpose.

UR - http://hdl.handle.net/10754/623506

UR - http://ieeexplore.ieee.org/document/7886261/

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JO - IEEE Access

JF - IEEE Access

ER -

A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

Abstract

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