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imported>Scott (Created page with "__TOC__ ==Introduction== Batch Statistical Process Control (BSPC) is the analysis of process data where the process inherently loops of "batches". ===Model Types=== {| class=...") |
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==Introduction== | ==Introduction== | ||
Batch Statistical Process Control (BSPC) is the analysis of process data where the process inherently loops of "batches". | Batch Statistical Process Control (BSPC) is the analysis of process data where the process inherently loops of "batches". Determining the right model and how to structure the data can be [[media:Bspc_diagram_roadmap.png | complicated]]. | ||
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| PARAFAC2 || 3 || No || No || | | PARAFAC2 || 3 || No || No || | ||
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==Experiment Designer Window== | ==Experiment Designer Window== | ||
Revision as of 08:28, 24 August 2012
Introduction
Batch Statistical Process Control (BSPC) is the analysis of process data where the process inherently loops of "batches". Determining the right model and how to structure the data can be complicated.
Model Types
| Model | Modes (Dimensions) | Equal Length Batches | Steps Aligned | Comments |
|---|---|---|---|---|
| Summary PCA | 2 | No | No | Orientation = batches x (step/summary) |
| Batch Maturity | 2 | No | No | Can have Y-Block to indicate maturity |
| MPCA | 3 | Yes | Yes | |
| PARAFAC | 3 | Yes | Yes | |
| Summary PARAFAC | 3 | No | No | Orientation = batches x step x summary |
| PARAFAC2 | 3 | No | No |