Manufacturing intelligence for automotive.
High volumes, tight takt, and zero tolerance for a missed shipment. KaizenFlow connects to the systems already running your lines and turns every OEE loss — across stamping, welding, and final assembly — into a ranked, verified savings ledger.
The minutes that move the P&L.
On a high-volume line, the losses worth the engineering hour are rarely the loudest ones.
Stamping availability lost to die changes and adjustments — the classic SMED target, ranked by what each minute actually costs.
Spatter, electrode wear, and parameter drift that turn into rework downstream. Caught as a quality loss before it compounds.
Unplanned stops on transfer lines and robotic cells — predicted from the historian, not discovered after the line is down.
Reduced-speed and minor-stop losses that quietly drag throughput below takt across the cell.
From OEE loss to verified fix.
The same closed loop, tuned to a high-volume discrete line.
The Six Big Losses across every cell, ranked by impact and confidence — so your team works the costliest loss, not the loudest.
Failure forecasting on robots, presses, and transfer equipment converts unplanned stops into planned interventions.
SMED-aware sequencing trims setup loss without breaking promised dates.
Before/after measurement reconciled against a normalized baseline — a number your plant controller will sign.
| Loss area | OEE factor | What KaizenFlow does |
|---|---|---|
| Die change / changeover | Availability | SMED-aware sequencing, ranked by cost per minute |
| Weld defects & rework | Quality | Parameter-drift detection, defect-to-process correlation |
| Robot / transfer-line stops | Availability | Failure forecasting from historian signals |
| Below-takt running | Performance | Reduced-speed and minor-stop attribution by cell |
Answers, up front.
Do we have to replace our MES or PLCs?
No. KaizenFlow sits on top of your existing Rockwell/Siemens/FANUC stack and MES via OPC-UA and 43+ connectors — most lines stream within an afternoon.
Can it handle multiple plants?
Yes — it normalizes OEE across lines, shifts, and facilities so you can compare and roll out wins network-wide.
See it on your line.
Book a walkthrough and we’ll model the closed loop against one of your actual automotive lines — losses, ranked opportunities, and the verified savings report you’d get in eight weeks.