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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Su-Fen Yang Chih-Ching Yang |
| Copyright Year | 2011 |
| Description | Author affiliation: Department of Statistics, National Chengchi University, Taipei, Taiwan (Su-Fen Yang; Chih-Ching Yang) |
| Abstract | The deployment of statistical process control (SPC) in service process is a prominent global phenomenon in recent years. In this paper, we proposed the optimal variable sample size and sampling interval (VSSI) mean square error (MSE) control chart to monitor the difference between the process mean and the target value and the process variation shifts, and its performance is measured by the average time to signal (ATS). From data analyses, we found the optimal VSSI MSE chart that performs better than the specific VSSI and optimal variable sampling interval (VSI) and fixed sample size and sampling interval (FSSI) MSE chart. An example was given to illustrate this new proposed approach. |
| Starting Page | 1 |
| Ending Page | 6 |
| File Size | 347865 |
| Page Count | 6 |
| File Format | |
| ISBN | 9781612843100 |
| ISSN | 21611890 |
| e-ISBN | 9781612843117 |
| DOI | 10.1109/ICSSSM.2011.5959315 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-06-25 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Industries Process control Control charts Mean square error methods Markov processes Fixed sample size and sampling interval Time measurement Variable sample size and sampling interval Monitoring Mean square error |
| Content Type | Text |
| Resource Type | Article |
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