Upstream & Downstream Analysis

Customer Challenges

Company wanted to use advanced analytics techniques to:

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Complete multivariate analysis on Upstream Bio Reactor and downstream chromatography data

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Complete Coefficient variability analysis to find key contributing model inputs

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Rank key process variables

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Modelling of best fit / golden batches to determine the scale of process variability

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Provide recommendations for reduced variability of Titre & protein extraction levels

Solution

Phase 1 – Downstream analysis covering:

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15 days professional service engagement over 3 months

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Extraction of Chromatography and Cross Filtration data from Cytiva AKTA and UNIFLUX systems via UNICORN

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Analysis of data to assess stability, controllability and predictability of downstream processing using TIBCO Spotfire and Sartorius SIMCA

Phase 2 – Upstream analysis covering:

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30 days professional service engagement over 3 months

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Extraction of SCADA data from CYTIVA Xcellerex / AVEVA (Wonderware), combined with Offline and Harvest data

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Custom pre-processing code written to process 3,000+ extracted data files for 20 batches & prep for multi-variate analysis

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Analysis of data to assess stability, controllability and predictability of Upstream processing using MATLAB and Sartorius SIMCA

Benefits

Identification of factors effecting quality & hypothesis for further manufacturing optimisation.

Related Case Studies

The client needed to augment their business intelligence team as they looked to update their existing Power BI / Tabular business intelligence architecture to a Power BI / Fabric environment.

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