12
Batches per day capacity
A major pharmaceutical company wanted to significantly ramp-up volumes at one of its Car-T Cell Therapy facilities, without a proportional increase in staff. Together, we analyzed each lab test and developed detailed standard work and scheduling processes to maximize their productivity. This operational transformation enabled the site to triple the number of batches with its existing team structures.
Industry: Life Sciences
Service: Manufacturing
Service: Operations Strategy and Transformation
The company operates advanced cell therapy and Biotechnology facilities requiring complex Biotech, Microbiology and various cell therapy assays. Its operations demand precise coordination across multiple testing protocols while adhering to stringent pharmaceutical quality standards.
12
Batches per day capacity
24
FTEs for full operation
4-day
10-hour shift pattern
“"The results were transformative for our business."
“
The microbiology lab faced a critical operational constraint as batch volumes were set to increase significantly.
The lab transformation fundamentally changed how the facility manages its testing capacity and staff productivity. Working alongside in-house teams we created a scalable operational model that dramatically improved throughput without additional headcount.
+94%
Productivity improvement (12 batches/day)
+146%
Productivity increase (24 batches/day)
1.8→3.5
Batches per person per day
We began by analyzing every test performed and developing detailed standard work for each process.
For each test, we outlined all required activities, determining maximum samples per run and mapping each process step along with the time requirements and whether that time was hands-on occupied or unoccupied time.
Our focus centered on optimizing how different tests could be combined within staff roles – pairing suitable tests together to make a good use of analyst time and integrating tests with non-test tasks.
Everything was then integrated into a “rhythm wheel”, which schedules all the routine work in a set pattern. This comprehensive approach ensured that staff time was fully utilized rather than having people move ad hoc between tasks.