Pharmaceutical, Biotech & GMP Manufacturing worked example
Lab Testing Burden at 99% analytical success rate: a worked example
What does the result look like when analytical success rate reaches 99%? The full calculation is worked below with real intermediate numbers. Use it when GMP, QA, QC, validation, manufacturing, or operations teams need a quick planning estimate to plan QC lab capacity and identify whether release, stability, or in-process testing will constrain production.
The inputs for this scenario
- QC analyst shifts available: 4 shifts (unchanged)
- Tests per shift: 480 tests / shift (unchanged)
- Analytical success rate: 99 % (raised for this scenario; the documented default is 90)
- Review and release yield: 97 % (unchanged)
Working through the calculation
- Applying the documented formula (Gross capacity = QC analyst shifts available × Tests per shift) to the inputs above produces each figure below.
- At this operating point the engine returns 1,844 units for good output capacity, the number this scenario is built around.
- At this operating point the engine returns 1,920 units for gross lab test capacity.
- At this operating point the engine returns 19.2 units for uptime loss.
- At this operating point the engine returns 57.02 units for yield loss.
How this compares with the baseline
- Against the tool's baseline example, where analytical success rate sits at 90% and the headline result is 1,676 units, this scenario comes in 10% above the baseline at 1,844 units.
- A figure at this level is achievable when analytical success rate is genuinely sustained, not just peaked for a shift. It assumes a steady tests-per-shift rate; complex or first-time methods run slower than routine assays, so use a realistic blended rate rather than a best-case one.
Results at a glance
- Good output capacity: 1,844 units (headline result)
- Gross lab test capacity: 1,920 units
- Uptime loss: 19.2 units
- Yield loss: 57.02 units
Run it with your numbers
- Every input above is editable in the live Lab Testing Burden calculator, which recalculates instantly and can be shared with the inputs intact.
Last reviewed 2026-05-12.