We build a digital twin of your pharmaceutical plant and run Monte Carlo simulations to reveal capacity constraints, test operational levers, and build investment roadmaps — backed by data, not guesswork.
From raw data to strategic recommendations in 6 weeks, not months.
We ingest your production data — equipment specs, demand forecasts, OEE metrics, shift schedules, product routing. Everything mapped to a unified plant model.
Your facility is reconstructed as a digital twin — every resource, constraint, and product flow. Scenario overlays let us test changes without touching the floor.
Hundreds of randomized scenarios stress-test your plant against demand variability. We identify which resources break first, and when.
A comprehensive report with scenario-backed recommendations: operational levers, investment roadmaps, and prioritized actions ranked by impact.
Ready to see what your plant can really do?
Schedule a CallA Latin American pharmaceutical company with 3 manufacturing sites, 250+ products, and growing demand needed to know: where do we invest?
Identified 7 critical bottlenecks across 3 sites, with the worst resource at 229% utilization — physically impossible to sustain.
Adding a 3rd shift + 15% OEE improvement resolved 4 of 7 bottlenecks without any capital investment.
Two CAPEX scenarios evaluated: phased equipment expansion across sites, achieving 0 bottlenecks through 2032.
Want results like these?
Schedule a CallExpert perspectives on pharmaceutical capacity planning, bottleneck analysis, and simulation-driven operations.
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Our team combines decades of pharmaceutical manufacturing leadership with world-class engineering. We've run production floors, managed capacity expansions, and navigated regulatory complexity — and we build the software to model it all.
Our simulation engine is purpose-built for pharma. Monte Carlo methods account for demand variability, OEE fluctuations, and operational uncertainty. Every recommendation comes with statistical confidence, not just point estimates.
No dashboards to learn. No software to maintain. No training required. We run the simulations, crunch the scenarios, and deliver a clear roadmap — backed by data, ready to act on.
Traditional capacity studies take 3-6 months. Our simulation-first approach delivers actionable insights in 6 weeks. Fast enough to inform decisions that are happening now, not next quarter.
It's a consulting approach where we build a digital twin of your manufacturing plant and run Monte Carlo simulations to stress-test it against demand variability. Instead of spreadsheet estimates, you get statistically-backed insights into which resources will become bottlenecks and when — so you can plan investments with confidence.
A typical engagement takes 6 weeks from data onboarding to final report delivery. Weeks 1-2 focus on data collection, week 3 on building the plant model, weeks 4-5 on scenario analysis, and week 6 on delivering actionable recommendations. That's 3-5x faster than traditional capacity studies.
We need production data including equipment specifications, demand forecasts, OEE metrics, shift schedules, and product routing information. We handle the data ingestion and mapping — your team typically spends a few hours gathering existing reports and spreadsheets.
You receive a comprehensive report with scenario-backed recommendations: a baseline diagnosis of current bottlenecks, operational levers you can pull without capital investment (like shift adjustments or OEE improvements), and a prioritized CAPEX investment roadmap with projected impact through your planning horizon.
No. Ettala is a consulting service, not a software product. We run all simulations and analysis on our side. You receive clear, actionable deliverables — no dashboards to learn, no software to maintain, no training required.
Your data is treated as strictly confidential. We sign NDAs before any data exchange, use encrypted channels for file transfer, and limit access to the engagement team only. Production data is used solely for simulation purposes and is never shared with third parties. All client data is deleted after the engagement unless you request otherwise.
Tell us about your manufacturing challenge. We'll show you what a simulation-driven approach can reveal.
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