Process Control & Data Analytics

Analytics and Sensors for Uni-/ Multi-variate Data Gathering: real time monitoring & control. Advanced chemometric methods as Design of Experiments (DOE) and Multivariate Data Analysis (MVDA) enable to look into cost savings besides ensuring process reliability and robustness. DOE is a standard technique to accelerate process development tasks and gain additional process understanding with a least amount of experiments. MVDA techniques are used for scale- and batch-to-batch comparison investigations, and are making inroads into continuous real-time quality control and assurance.
Process analysers as inline and online measurement technologies provide real-time data for outstanding process control, which results in high-quality production. Thorough monitoring by process analysers with up to 100% coverage of process parameters and subsequent documentation ensures optimal compliance. Moreover, monitoring makes transactions verifiable and establishes a basis of trust between suppliers and customers.

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