A pharma company saved substantial cost of $6M annually with Process Digital Twin

Challenge

Our client’s business objective was to improve the yield quantity of the drug product manufacturing with three months of available historical data.

Solution

Gramener used Exploratory Data Analysis to understand various patterns. However, since the key question was which operational and material parameters are essential, we applied classification and regression models for rules and variable importance.

Impact

Gramener helped this pharmaceutical manufacturer to enhance their drug production yield by leveraging Exploratory Data Analysis.
We identified key material combinations and process settings, leading to a "Golden batch" yield increase of 117 kg, up from the previous year's 114 kg.
The integration of a Process Digital Twin facilitated real-time monitoring and preemptive action upon anomaly detection, ensuring sustained process optimization.