AI-Enabled Lean Six Sigma
From data infrastructure to real-time quality control
Sensors measure. AI assists. SPC tests stability. FMEA prioritises risk. People decide. AI augments DMAIC and real-time monitoring; it does not replace measurement discipline, validation or human judgement.
From signal to corrective action
- 1
A cooling, water or power signal moves outside its normal range
- 2
SPC detects special-cause variation, not every fluctuation
- 3
Related signals (noise, power) are checked together
- 4
The affected physical asset is identified, with its history and spares
- 5
FMEA updates the failure risk and recommends escalation
- 6
A qualified person authorises the action and verifies closure
What the training covers
- Process stability with SPC
- Failure modes and risk priority with FMEA
- Sensor-data validation and root-cause analysis
- Corrective action and control plans
- Train-the-trainer and workforce application
Bring it to your team
Delivered as PWD training, alone or alongside a sponsored pilot, so the pilot produces evidence and the training builds the capability to use it.