For Automotive
Find the OEE points your reports cannot explain. No new hardware.
Quarterly OEE reports show 8-10% slip. Supervisors have theories (night crew, older line, bad batch) but nobody can prove which matters most. Data is fragmented: paper logs, spreadsheets, end-of-day reports. wiseDo starts giving you those answers within the first two weeks of a six-week pilot.
Book an assessment
The Problem
Quarterly reports show the slip. Real-time data shows why.
Every quarter, you see the same story: OEE down 8-10 points from plan. Variance reports blame "unplanned downtime" or "setup variance". But which line? Which shift? Which station? Which product mix?
The floor has theories. Night crew runs slower. The CNC on Line 2 needs calibration. Changeovers on certain batches take twice as long. But these are guesses, not data. By the time you have a monthly report, it's too late to act.
Meanwhile, IATF audits are coming. Batch records need to be traceable. Deviation logs need timestamps. Rework and scrap need causal tags. You're building these records manually, one incident at a time.
The wiseDo Solution
Real-time OEE by station, shift, operator and product.
In the first two weeks, see exactly which patterns drag OEE down: by shift, line, operator, product, time-of-day. Targeted fixes, not guesswork. Station-level cycle times measured from the floor. SOP deviations flagged cycle-by-cycle. Bottleneck Pareto showing the handful of factors capping your output.
IATF evidence stops being reconstructed from memory. Downtime, deviations and scrap are captured and reason-coded at the moment of detection, sealed into records that carry their own lineage. Batch, calibration and operator records are built from the same store as the audit pack and evidence bundles ship today; serial-level genealogy and the automatic calibration feed are in development. We will tell you in the assessment which of your IATF clauses this covers now and which it does not.
Logged with a reason
Captured at the moment of detection, not retyped at shift end.
Cycle times
Measured from the cameras and machine signals you already have.
IATF evidence
Deviation, calibration and operator records built from floor data.
The Pilot
Six weeks. One line. Three measured outcomes.
Cost
Fixed fee
Fixed price. No surprises.
Timeline
6 weeks
Mount, calibrate, measure.
Outcome
Real
Measured KPIs, not promises.
Three Measured KPIs
- ✓ True cycle time per station (measured from floor, not estimated)
- ✓ SOP adherence rate (% cycles that follow golden sequence)
- ✓ Top-3 bottleneck breakdown (stations + causes capping output)
How wiseDo is deployed here
Six weeks, step by step.
A tier-2 component line, typically 6 to 12 stations, one shift to start. Nothing on the machines is replaced.
- 1
Floor walk and line map
We walk the line with your production head, agree the pilot line and the three numbers that count (OEE, MTTR, first-pass yield), and map every station, PLC and existing camera on it.
- 2
Cameras and PLC signals connected
Existing IP cameras are pointed at each station; where a station has none, one is mounted. PLC run/stop and count signals are read over OPC UA or Modbus. An edge box goes in a cabinet inside your network.
- 3
One week of calibration
Sight learns each station's normal cycle from your own footage. Cycle-time baselines, takt targets and standard-work steps are confirmed with your supervisors, not imported from a template.
- 4
Reason-coded downtime goes live
Every stop is captured the moment it happens and tagged: changeover, material starvation, tool change, breakdown. Supervisors confirm or correct the tag on a phone. Pareto by station and shift updates every minute.
- 5
Scheduling and traceability switch on
Dispatch starts working from live floor data rather than last week's plan. Evidence accumulates as a by-product of running the line rather than as a project before the audit; serial and lot genealogy is in development, so the first deployment covers downtime, deviation and compliance evidence.
- 6
Review and scale
At week six you see the three numbers against baseline. The next line is added on the same edge box; the same tagging vocabulary carries across so shift comparisons stay honest.
What wiseDo brings
The platform components doing the work.
One platform, one data model. Each component below reads and writes the same event spine, so nothing is re-typed and nothing is reconciled at month-end.
Sight
True cycle time per station from your cameras. Slow drift and micro-stops caught as they happen, not at shift-end.
PlantOps
Reason-coded downtime and live OEE by station, shift and product, sealed as evidence packs rather than assembled by hand.
Scheduler
Finite-capacity replanning when a station drifts, so the day's takt promise stays real.
Fleet orchestration
When AGVs feed the line, replenishment is called by live consumption, not a fixed loop.
What changes on your floor
Your quality head stops assembling audit binders by hand. Your production head stops learning about a slow station from tomorrow's report. And when a customer audit lands, the traceability record already exists.