A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

Mansour Sattam Aldosari, Muhammad Aslam, Chi-Hyuck Jun

    Research output: Contribution to journalArticlepeer-review

    19 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 languageEnglish (US)
    Pages (from-to)6192-6197
    Number of pages6
    JournalIEEE Access
    Volume5
    DOIs
    StatePublished - 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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