Modeling Batch Process Using Virtual Variable
Batch processes include many steps or phases related to each other, either sequentially or in parallel, in order to achieve a final outcome. The final outcome of such a process is measured using quality and quantity targets. However, in many cases, the outcomes of intermediate steps/phases are not measured even though their values may significantly affect the final outcome. In some cases the measurement of such intermediate outcomes is not possible. This paper will present a methodology that applies Virtual Variables in order to predict and qualify the intermediate outcome. With this qualification and modeling, the final outcome of the whole batch can be targeted better. The paper will present data from an actual project where such a methodology has been applied.
Author: Dr. Eyal Brill, WBF
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