Golden Batch Analysis: what separates good penicillin batches from bad ones
100 fermentation batches, two groups, and the two variables that actually made the difference.
Reliable Process Design Solutions Pvt Ltd
At RPDS, we blend traditional chemical engineering with advanced data-driven solutions to elevate your process industry operations. We optimize efficiency, enhance safety, and cut costs by integrating classical methods with cutting-edge data science and analytics. Whether refining existing processes or creating new ones, RPDS delivers tailored solutions that drive results and give you a competitive edge. Partner with us to unlock your operations' full potential.
Our offerings
Advanced process control, process simulation and control loop optimization that keep operations efficient, stable and safe.
Know moreEstimate hard-to-measure process variables in real time from the plant measurements you already have.
Know moreAI predictive maintenance anticipates equipment failures, optimizing efficiency and minimizing downtime.
Know moreAI expedites bottleneck identification through data analysis, enhancing process efficiency.
Know moreProblems we solve
If any of these sound familiar, your plant data can probably tell you more than it does today.
Insights
Case study
100 fermentation batches, two groups, and the two variables that actually made the difference.
Case study
Adding physics-derived variables lifted prediction R² from 0.95 to 0.98 and made the case for a dedicated PAA soft sensor.
Guide
Estimating unmeasured process variables from existing plant measurements, from target selection to deployment.
Try it yourself
Open the RPDS Tool on the penicillin dataset and run the cleaning, soft-sensor and golden-batch steps yourself.