Abstract
This paper proposes a new diagnostic approach for multivariate process measurement vectors using a process-oriented basis. Many potential production problems have characteristic signatures that can be detected in the multivariate quality vector. Each signature can be used as a basis element in the process-oriented. The representation of the multivariate variance or bias using this basis will identify a small set of potential causes, those associated with basis elements (signatures) with the largest coefficients.
Original language | English (US) |
---|---|
Pages | 954-958 |
Number of pages | 5 |
State | Published - Dec 1 1995 |
Event | Proceedings of the 1995 4th Industrial Engineering Research Conference - Nashville, TN, USA Duration: May 24 1995 → May 25 1995 |
Other
Other | Proceedings of the 1995 4th Industrial Engineering Research Conference |
---|---|
City | Nashville, TN, USA |
Period | 5/24/95 → 5/25/95 |
All Science Journal Classification (ASJC) codes
- Industrial and Manufacturing Engineering