| dc.creator |
Aslam, Muhammad |
|
| dc.creator |
Rao, G. S |
|
| dc.creator |
Ahmad, Liaquat |
|
| dc.creator |
Jun, Chi-Hyuck |
|
| dc.date |
2020-11-25T07:54:40Z |
|
| dc.date |
2020-11-25T07:54:40Z |
|
| dc.date |
2020 |
|
| dc.date.accessioned |
2022-10-20T13:09:19Z |
|
| dc.date.available |
2022-10-20T13:09:19Z |
|
| dc.identifier |
Aslam, M., Rao, G. S., Ahmad, L., & Jun, C. H. (2020). A new control chart using GINI CPK. Communications in Statistics-Theory and Methods, 1-15. |
|
| dc.identifier |
DOI: 10.1080/03610926.2020.1746971 |
|
| dc.identifier |
http://hdl.handle.net/20.500.12661/2606 |
|
| dc.identifier.uri |
http://hdl.handle.net/20.500.12661/2606 |
|
| dc.description |
Abstract. Full text available at https://doi.org/10.1080/03610926.2020.1746971 |
|
| dc.description |
Process capability indices (PCIs) have been extensively applied to study product potential and performance. The quality control engineers use these process capability indices greatly to magnify the actual performance of the process from the predetermined specifications of the product. A control chart for the process monitoring is developed using the Gini’s mean difference as a measure of variability under the Weibull distribution. We consider the control chart process capability index, Cpk has been used for the efficient monitoring of the manufacturing process. It has been observed that the proposed chart is comparatively better than the existing chart. An example of the practical application of the proposed chart has also been presented. |
|
| dc.language |
en |
|
| dc.publisher |
Taylor & Francis |
|
| dc.subject |
Gini’s mean difference |
|
| dc.subject |
Process capability indices |
|
| dc.subject |
Weibull distribution |
|
| dc.subject |
ARL |
|
| dc.subject |
Non-normal distribution |
|
| dc.subject |
Average run length |
|
| dc.subject |
Monitoring |
|
| dc.subject |
Performance |
|
| dc.subject |
Process capability index |
|
| dc.title |
A new control chart using GINI CPK |
|
| dc.type |
Article |
|