Engineering Change Order Impact Analysis on DFMEA Risk Baselines
A commercial hemodialysis machine manufacturer managing a field fleet of 25,000 clinic dialysis consoles, implementing an engineering change to replace an obsolete blood flow sensor.
Run on Tatvam · Design Risk & FMEA
The challenge
Replacing the flow sensor required evaluating potential new failure modes, firmware algorithm changes, and fluid dynamics impacts.
Engineers lacked an automated way to determine which sections of the 3,000 row DFMEA were touched by the component revision.
An overlooked sensor sampling frequency mismatch caused intermittent air bubble false alarms in clinical trials after ECO release.
How Tatvam solves it
Engineering Change Order Impact Scanning
Tatvam analyzes proposed ECO component revisions, scanning the complete system risk model to highlight all affected failure modes.
Automated Risk Baseline Versioning & Branching
Branches the active DFMEA baseline into a change evaluation sandbox, allowing engineers to model new risk scores without altering production records.
Cascading Risk Re Evaluation Alerts
Notifies fluidics, electronics, and software engineers to review specific affected hazard lines before ECO approval.
Design Verification Test Scope Optimization
Pinpoints the exact subset of verification test protocols that must be re executed, avoiding expensive full system re testing.
Closed Loop ECO Release Sign Off
Merges verified risk updates back into the master production DFMEA baseline upon formal change board approval.
The outcome
- ECO risk impact analysis turnaround time cut
- 0 weeksECO risk impact analysis turnaround time cut
- design verification testing costs reduced
- 0%design verification testing costs reduced
ECO risk impact analysis turnaround time cut from 3 weeks to 2 hours.
Design verification testing costs reduced by 45% by targeting only affected risk control pathways.
Zero post release clinical false alarms or unintended design side effects.
Representative scenario: a modelled industry situation showing how this accelerator applies. Figures are projections, not a named client result.
Capabilities used
Every accelerator is assembled from the same capability layer, so a workflow you adopt here shares its foundation with the rest of the portfolio.
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