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 |
All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
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Cite this
Wang, C-S., Chiu, J. E., & Jhong, S. F. (2013). Fuzzy Inference System based assignable cause diagnosis using Hotelling's T2 control chart patterns. In 2013 10th International Conference on Service Systems and Service Management - Proceedings of ICSSSM 2013 (pp. 75-77). [6602585] https://doi.org/10.1109/ICSSSM.2013.6602585