We make your routine data accessible for process control and combine it with raw material analytics, IPCs and output analytics to provide precise process control for plant operators.
We support you in setting up modern process analytics. All process data is used and merged with existing analytical data.
Batch data is modeled, classified and used for process control. You achieve low-fluctuation processes that you operate at the optimum level.
We create process models using existing data. This data often exists almost completely unused. We bring them together and use them to develop initial, robust control mechanisms
We construct initial process models from laboratory data and process data. From this, we derive possible optimization options and design a process control structure.
From the historical data from the laboratory and production, intervention limits and controls are developed and simply displayed. Only this representation makes it possible to control the process in reality. This increases process reliability and reduces fluctuations.
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PAT - A Framework for
Innovative Pharmaceutical
Development, Manufacturing,
and Quality Assurance
