| MSPC |
Based on the PCA model, the MSPC tool can be developed to control the granulation and drying process. After the deviation has been corrected, the process system can return to a stable state |
279
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| An MSPC tool was built based on PLS and PCA models. The control chart was used to monitor humidity and temperature in the granulation process and to detect process abnormalities |
280
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| PLS |
According to the feed-forward PLS model, it can be used to determine the process conditions based on the preceding conditions of unit operation |
254
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| According to the PLS model, the feed-forward process can construct a control plan to determine the optimal process conditions. Then a release profile meeting the required quality was obtained |
281
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| The feed-forward model for tablet compaction was developed based on NIR. Based on this model, the process parameters that meet the final product quality can be predicted |
282
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| Based on NIR, the PLS model can measure the bulk density in real time. The measured signals can be used for forward feed control to ensure small density variation |
283
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| Latent projection model |
According to the latent projection model, the variations in raw material and from batch-to-batch can be controlled by adjusting some process parameters |
284
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