Improving Biopharmaceutical Manufacturing Yield Using Neural Network Classification

Abstract

: Traditionally, the Six Sigma framework has underpinned quality improvement and assurance in biopharmaceutical manufacturing process management. This paper proposes a Neural Network (NN) approach to vaccine yield classification. The NN is compared to an existing Multiple Linear regression approach. This paper shows how a Data Mining framework can be used to extract further value and insight from the data gathered during the manufacturing process as part of the Six Sigma process. Insights to yield classification can be used in the quality improvement process.