We support you in building modern process analytics. All process data is utilised and consolidated with existing analytical data.
Batch data is modelled, classified and used for process control. This achieves processes with low fluctuations, which you operate at optimum.
We generate process models with the data that already exists. This data often remains almost entirely unused. We combine it and develop initial, robust control mechanisms from it.
We construct initial process models from laboratory and process data. From these, we derive potential areas for optimisation and design a process control structure.
From the historical data from the laboratory and production, intervention limits and controls are developed that are simply presented. Only this presentation enables the process to be controlled in reality. This increases process reliability and reduces fluctuations.
PAT — A Framework for Innovative Pharmaceutical Development, Manufacturing, and Quality Assurance
