A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling

Handle URI:
http://hdl.handle.net/10754/623506
Title:
A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling
Authors:
Aldosari, Mansour Sattam; Aslam, Muhammad ( 0000-0003-0644-1950 ) ; Jun, Chi-Hyuck
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.
Publisher:
Institute of Electrical and Electronics Engineers (IEEE)
Journal:
IEEE Access
KAUST Grant Number:
PS-37-1923
Issue Date:
25-Mar-2017
DOI:
10.1109/access.2017.2687523
Type:
Article
ISSN:
2169-3536
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.
Appears in Collections:
Publications Acknowledging KAUST Support

Full metadata record

DC FieldValue Language
dc.contributor.authorAldosari, Mansour Sattamen
dc.contributor.authorAslam, Muhammaden
dc.contributor.authorJun, Chi-Hyucken
dc.date.accessioned2017-05-15T10:35:05Z-
dc.date.available2017-05-15T10:35:05Z-
dc.date.issued2017-03-25en
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.en
dc.identifier.issn2169-3536en
dc.identifier.doi10.1109/access.2017.2687523en
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.en
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.en
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en
dc.subjectcontrol charten
dc.subjectmultiple dependent state repetitive samplingen
dc.subjectaverage run lengthen
dc.subjectbinomial distributionen
dc.subjectaverage run lengthen
dc.titleA New Attribute Control Chart using Multiple Dependent State Repetitive Samplingen
dc.typeArticleen
dc.identifier.journalIEEE Accessen
dc.contributor.institutionDepartment of Statistics, Faculty of Science, King Abdul Aziz University, Jeddah 21551, Saudi Arabiaen
dc.contributor.institutionDepartment of Industrial and Management Engineering, POSTECH, Pohang 37673, Republic of Koreaen
kaust.grant.numberPS-37-1923en
All Items in KAUST are protected by copyright, with all rights reserved, unless otherwise indicated.