Process yield optimisation — Pharmaceutical
Models that recommend set-points to lift yield and cut scrap. Delivered for a pharmaceutical client in Pune.
- Location
- Pune
- Year
- 2021
- Duration
- 27 weeks
- Team
- 10 engineers
- +5.8%
- yield
- −22%
- scrap
- 13,996
- batches modelled
The challenge
The pharmaceutical team was relying on manual effort that could not keep up with volume, and every miss had a direct cost.
What we built
Built in our Motera lab, validated on a replica rig, then commissioned on site in days using XGBoost and OPC UA.
Delivery timeline
Phase 1
Discovery sprint and site survey
Phase 2
Prototype built and tested in the Motera lab
Phase 3
Pilot on site with before/after measurement
Phase 4
Scale-out, training and handover
Highlights
- Remote monitoring and over-the-air updates included
- Runs on-premises; no data leaves the site unless agreed
- Designed, built and supported from Motera, Ahmedabad
- Before-and-after measurements agreed with the client up front
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