Name
Abstract | ||
|---|---|---|
The performances of the Hotel ling's T-2 control chart and the squared prediction error control chart based on the multi-way principal component analysis are evaluated for monitoring within batch process variation for the purpose of recipe preservation. A nonlinear model for simulated batch process data is provided. The model allows for cross correlation of error terms at a given time period and serial correlation of error terms across time periods. The performance characterizations of the two monitoring schemes are provided for a variety of levels of cross correlation and serial correlation. The impact of the time period at which process shifts occur is also investigated for the monitoring schemes. The T-2 control chart is recommended for the cases considered. Copyright (C) 2009 John Wiley & Sons, Ltd. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1002/qre.1053 | QUALITY AND RELIABILITY ENGINEERING INTERNATIONAL |
Keywords | Field | DocType |
statistical process control,T-2 control chart,principal component analysis,batch processes | Econometrics,Cross-correlation,Multivariate statistics,Computer science,Control chart,Recipe,Batch processing,Statistical process control,Statistics,Principal component analysis,Autocorrelation | Journal |
Volume | Issue | ISSN |
26 | 3 | 0748-8017 |
Citations | PageRank | References |
1 | 0.35 | 0 |
Authors | ||
2 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Young-il Kim | 1 | 1 | 0.35 |
| Benjamin M. Adams | 2 | 1 | 0.35 |