What should happen?
Start with the product or process requirement. A team cannot identify failure until the expected result is clear.
A practical framework connecting product requirements, process risks, control decisions, pilot validation, and reusable engineering knowledge.
Scroll through the cards. Each question builds on the one before it, moving from product intent to validated manufacturing control.
Start with the product or process requirement. A team cannot identify failure until the expected result is clear.
Describe the failed output, not the machine setting. The failure mode should explain what becomes wrong.
Identify the mechanism behind the failure: Man, Machine, Method, Material, Measurement, or Environment.
Select the appropriate control level: tell the operator, check the process, or prevent the error from occurring.
Validate the control in pilot production. Evidence converts an engineering idea into a closed action.
The engineer enters the meeting with product knowledge, a process flow, and initial failure hypotheses. The meeting validates the logic—it does not create it from zero.
Requirements, specifications, BOM, drawings, process flow, fixtures, samples, and historical defects.
Identify critical characteristics, process risks, possible failure mechanisms, and control gaps.
Bring a pre-filled PFMEA, clear questions, and proposed controls for cross-functional validation.
Pre-fill PFMEA and prepare failure hypotheses.
Update with actual product and process findings.
Confirm action plans for high risks.
Release L3 controls, WI, and Control Plan.
Map the Top 3 defects back to PFMEA.
Update PFMEA and confirm closure evidence.
Lock lessons learned and reuse them.
What should the process achieve?
What output can be wrong?
Why does it matter to the customer?
Why can it happen?
How is it controlled today?
How serious, likely, and detectable?
What changes, who owns it, and what proves it?
If the failure escapes, how serious is the impact on safety, compliance, function, or the customer?
How likely is the failure based on process weakness, instability, manual judgement, and historical recurrence?
Can the current control detect the failure before the next process or shipment?
Stronger risk requires stronger control. The goal is to move from instruction, to verification, to built-in prevention.
Use when a clear method, sequence, and visual standard are sufficient.
Use when measurement, frequency, tolerance, and reaction plans are required.
Use for high risk, repeat defects, safety or function risk, and manual-judgement risk.
| Activity | Owner | Support | Due | Evidence | Output |
|---|---|---|---|---|---|
| Pre-fill PFMEA | Product Engineering | IE / ME / QA | Before meeting | Draft PFMEA | Failure hypotheses ready |
| Define controls | PE + QA | IE / Production | Before pilot | WI / CP / Poka-Yoke code | L1 / L2 / L3 decision |
| Release documents | IE / QA / PE | Production | Before pilot | Released WI, CP, and tool evidence | Shopfloor control ready |
| Validate action | PE + QA | Production | During pilot | Data, photo, video, or report | Actual residual risk |
Freeze the pre-pilot PFMEA.
Collect defects, yield, function, safety, and control data.
Map the actual Top 3 defects back to PFMEA.
Was the risk captured, controlled, or missed?
Strengthen the control or add a new PFMEA row.
Retain the control and standardize it.
Strengthen the control level and validate again.
Run 5-Why analysis and add a new PFMEA row.
PFMEA is alive only when actual production learning returns to the risk model and improves the next program.
“PFMEA becomes alive when every defect becomes new engineering knowledge.”
Explore the Poka-Yoke Library, or return to the Engineering Systems hub.