Webinars
The Hidden 5–15%: How Pharma Manufacturers Are Unlocking Capacity and Lowering Cost per Batch
On-Demand
APAC pharmaceutical manufacturing is expanding rapidly, more CDMOs, more generics volume, more products per line, yet most operations still carry 5–15% of recoverable capacity locked inside their existing DS, DP, and packaging assets. No new lines required.
The constraint isn’t data. Pharma generates plenty. The constraint is the absence of standardised, scalable operational intelligence that travels across products, lines, and sites without degrading into disconnected, site-level reporting efforts.
In this session, we’ll demonstrate how CDMOs, generics producers, and regional pharma manufacturers can convert the data they already collect into a GMP-ready operational control and efficiency layer, unlocking hidden capacity, improving throughput and right-first-time rates, and driving cost-per-batch down on multiproduct lines.
We’ll walk through a practical framework that unifies process and operations into a single contextualised view, with portfolio-level visibility from DS through DP to packaging. The goal: move beyond one-site, one-line OEE snapshots toward a repeatable, scalable approach that:
- Unifies data context across historians, MES, LIMS, and ERP without requiring a rip-and-replace integration programme
- Standardises performance, loss, and yield analytics across lines, sites, and product families, so comparisons are meaningful and improvement is transferable
- Deploys exception-based monitoring and AI-assisted decision support to surface deviations, trend drift, and throughput variability before they escalate to batch failures or schedule deviation
- Delivers GMP-ready audit trails that support both local regulatory requirements and export-market compliance
We’ll close with a live Seeq demo showing how Operations, Tech Ops, and Manufacturing teams across APAC are already pushing more batches through the same asset base, reducing cost per batch and competing more effectively on price without sacrificing quality or compliance.
Paolo Braiuca
Industry Principal, Pharma
Asif Hassan
Senior Analytics Engineer
Nuraisyah Rosli
Senior Analytics Engineer