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    A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

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    Type
    Article
    Authors
    Aldosari, Mansour Sattam
    Aslam, Muhammad cc
    Jun, Chi-Hyuck
    KAUST Grant Number
    PS-37-1923
    Date
    2017-03-25
    Online Publication Date
    2017-03-25
    Print Publication Date
    2017
    Permanent link to this record
    http://hdl.handle.net/10754/623506
    
    Metadata
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    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.
    Citation
    Aldosari MS, Aslam M, Jun C-H (2017) A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling. IEEE Access: 1–1. Available: http://dx.doi.org/10.1109/access.2017.2687523.
    Sponsors
    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.
    Publisher
    Institute of Electrical and Electronics Engineers (IEEE)
    Journal
    IEEE Access
    DOI
    10.1109/access.2017.2687523
    ae974a485f413a2113503eed53cd6c53
    10.1109/access.2017.2687523
    Scopus Count
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    Publications Acknowledging KAUST Support

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