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dc.contributor.authorAldosari, Mansour Sattam
dc.contributor.authorAslam, Muhammad
dc.contributor.authorJun, Chi-Hyuck
dc.date.accessioned2017-05-15T10:35:05Z
dc.date.available2017-05-15T10:35:05Z
dc.date.issued2017-03-25
dc.identifier.citationAldosari 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.
dc.identifier.issn2169-3536
dc.identifier.doi10.1109/access.2017.2687523
dc.identifier.urihttp://hdl.handle.net/10754/623506
dc.description.abstractIn 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.
dc.description.sponsorshipThe 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.
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectcontrol chart
dc.subjectmultiple dependent state repetitive sampling
dc.subjectaverage run length
dc.subjectbinomial distribution
dc.subjectaverage run length
dc.titleA New Attribute Control Chart using Multiple Dependent State Repetitive Sampling
dc.typeArticle
dc.identifier.journalIEEE Access
dc.contributor.institutionDepartment of Statistics, Faculty of Science, King Abdul Aziz University, Jeddah 21551, Saudi Arabia
dc.contributor.institutionDepartment of Industrial and Management Engineering, POSTECH, Pohang 37673, Republic of Korea
kaust.grant.numberPS-37-1923
dc.date.published-online2017-03-25
dc.date.published-print2017


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