Boehringer Ingelheim

Finding the golden batch with multivariate data analysis techniques

In search of the elusive golden batch—a repeatable process that consistently optimizes batch yield and quality—Boehringer Ingelheim collaborated with Sartorius Stedim Data Analytics to monitor its processes using multivariate data analysis techniques. The team used AVEVA PI System to aggregate and contextualize its data, then applied analytics for real-time monitoring and prescriptive process control. 

“If we come to a customer and they have [AVEVA PI System] with a good configuration, then we can have a monitoring process, advanced analytics—the whole thing—up and running in a matter of days.”

—Chris McCready
Lead Data Scientist, Sartorius Stedim Data Analytics

Challenge

  • Understand variation in biological batch processes

Solution

  • Employed AVEVA™ PI System™ to facilitate multivariate data analysis techniques and attribute data

Results

  • Reduced production variance
  • Generated greater batch potency
  • Reduced batch destruction
  • Increased yield

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