By team
Pilot Plant
Recipe tuning and process validation, without guessing.
Pilot is where you find out which parameters actually control the property you care about, and how wide the window really is. Getting that wrong does not show up in pilot, it shows up at scale.
The work
What pilot has to answer before scale-up.
Which parameter actually controls this property?
Parameters are coupled, so tuning one shifts five others. Correlation across your full run history separates the driver from the passenger.
How wide is the operating window?
A setpoint without a window is not a process. Response surface and DOE methods map where the process holds and where it falls over.
What in-line spec meets the end-of-line requirement?
Work backward from the final requirement to the in-line limit that guarantees it, instead of setting in-line specs by habit.
Can the gauge even see this?
Gauge R&R and measurement system analysis tell you whether an out-of-spec reading is the process or the instrument, before you chase it.
Is this inside the safety envelope?
Check proposed conditions against the envelope before the run, not after the excursion.
Will this survive scale-up?
Which pilot findings transfer and which are artifacts of pilot-scale equipment, judged against the data rather than assumed.
How it works
Three steps to a validated window.
Connect the run history
Process telemetry, lab results, and inspection records joined on a shared batch identity.
Find the real drivers
Multivariate analysis over your own runs, so the answer reflects your equipment and not a textbook.
Design the next experiment
DOE that accounts for what you have already run, so the next campaign adds information instead of repeating it.
Methods used here
The analytical backbone.
Stop tuning one variable at a time.
Free to start. Bring your pilot run history and see what it already tells you.