Abstract
When processing multiple quality characteristics out of control, control charts are not effective tools for root cause analysis, but control chart patterns can provide hints on assignable cause, and in this research, we use a fuzzy inference system based on Hotelling's T2 control chart to accelerate root cause analysis.
| Original language | English |
|---|---|
| Title of host publication | 2013 10th International Conference on Service Systems and Service Management - Proceedings of ICSSSM 2013 |
| Pages | 75-77 |
| Number of pages | 3 |
| DOIs | |
| Publication status | Published - 2013 Oct 17 |
| Event | 2013 10th International Conference on Service Systems and Service Management, ICSSSM 2013 - Hong Kong, China Duration: 2013 Jul 17 → 2013 Jul 19 |
Other
| Other | 2013 10th International Conference on Service Systems and Service Management, ICSSSM 2013 |
|---|---|
| Country | China |
| City | Hong Kong |
| Period | 13-07-17 → 13-07-19 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
Cite this
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Fuzzy Inference System based assignable cause diagnosis using Hotelling's T2 control chart patterns. / Wang, Chau-Shing; Chiu, Jing Er; Jhong, Syuan Fong.
2013 10th International Conference on Service Systems and Service Management - Proceedings of ICSSSM 2013. 2013. p. 75-77 6602585.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Fuzzy Inference System based assignable cause diagnosis using Hotelling's T2 control chart patterns
AU - Wang, Chau-Shing
AU - Chiu, Jing Er
AU - Jhong, Syuan Fong
PY - 2013/10/17
Y1 - 2013/10/17
N2 - When processing multiple quality characteristics out of control, control charts are not effective tools for root cause analysis, but control chart patterns can provide hints on assignable cause, and in this research, we use a fuzzy inference system based on Hotelling's T2 control chart to accelerate root cause analysis.
AB - When processing multiple quality characteristics out of control, control charts are not effective tools for root cause analysis, but control chart patterns can provide hints on assignable cause, and in this research, we use a fuzzy inference system based on Hotelling's T2 control chart to accelerate root cause analysis.
UR - http://www.scopus.com/inward/record.url?scp=84885403215&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84885403215&partnerID=8YFLogxK
U2 - 10.1109/ICSSSM.2013.6602585
DO - 10.1109/ICSSSM.2013.6602585
M3 - Conference contribution
SN - 9781467348430
SP - 75
EP - 77
BT - 2013 10th International Conference on Service Systems and Service Management - Proceedings of ICSSSM 2013
ER -