A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling
dc.contributor.author | Aldosari, Mansour Sattam | |
dc.contributor.author | Aslam, Muhammad | |
dc.contributor.author | Jun, Chi-Hyuck | |
dc.date.accessioned | 2017-05-15T10:35:05Z | |
dc.date.available | 2017-05-15T10:35:05Z | |
dc.date.issued | 2017-03-25 | |
dc.identifier.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. | |
dc.identifier.issn | 2169-3536 | |
dc.identifier.doi | 10.1109/access.2017.2687523 | |
dc.identifier.uri | http://hdl.handle.net/10754/623506 | |
dc.description.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. | |
dc.description.sponsorship | 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. | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.subject | control chart | |
dc.subject | multiple dependent state repetitive sampling | |
dc.subject | average run length | |
dc.subject | binomial distribution | |
dc.subject | average run length | |
dc.title | A New Attribute Control Chart using Multiple Dependent State Repetitive Sampling | |
dc.type | Article | |
dc.identifier.journal | IEEE Access | |
dc.contributor.institution | Department of Statistics, Faculty of Science, King Abdul Aziz University, Jeddah 21551, Saudi Arabia | |
dc.contributor.institution | Department of Industrial and Management Engineering, POSTECH, Pohang 37673, Republic of Korea | |
kaust.grant.number | PS-37-1923 | |
dc.date.published-online | 2017-03-25 | |
dc.date.published-print | 2017 |