Pharma machinery, batch-aligned and timestamped.
Batch-wise OEE aligned to your batch records, changeover and cleaning time per product pair, rated-vs-actual speed on packing lines, and an automatic, timestamped record of every machine state.
Changeovers and speed loss hide inside batch records.
Data integrity by design
Every machine state timestamped automatically: a record that supports your audit posture instead of a logbook that invites questions.
Cleaning and changeover sprawl
Changeovers with cleaning are pharma's biggest availability loss. Measured per product pair, compared per crew.
Rated vs real speed
Lines rated for X run at 0.7X for reasons nobody wrote down. Performance loss, quantified per batch.
What would faster changeovers be worth?
Changeover time is measured per product pair, so the worst pairs are obvious.
Set a realistic target; the matrix shows which pairs to attack first.
OEE, condition monitoring and predictive maintenance for this floor.
Batch-wise OEE
- OEE aligned to batch records
- Changeover and cleaning per product pair
- Rated-vs-actual speed on packing lines
- Stop reasons at the machine, timestamped
CBM for these machines
- Compression-force consistency
- Vibration on turret and drives
- HVAC and utility monitoring
- Temperature and humidity context
PdM for these failure modes
- Turret and punch wear indicators
- Drive-train health on packing lines
- Compressor and AHU PdM
- Interventions between campaigns
The equipment we monitor here.
Where this connects to the rest of the platform.
Straight answers.
How does MachineWise help pharma manufacturing?
Does it support data integrity requirements?
Can it measure changeovers per product pair?
Where is the data stored?
Measure your changeover matrix on one line this month.
Two machines, thirty days, zero cost to start. Your data stays on-premises throughout.