Warranty and field failure analysis
Manufacturers cannot connect service incidents to production history and component changes.
The challenge behind the workflow.
Manufacturers cannot connect service incidents to production history and component changes.
Connect production, quality, assets, suppliers, and planning data while preserving product and process context. Help teams investigate deviations and prepare reviewed operational decisions across plants and business systems.
Data to bring together
- Warranty cases
- Product serial records
- Manufacturing histories
Source systems are examples of the data required. Confirm connector availability, permitted access, refresh timing, and the authoritative owner before implementation.
How Genedata supports the work.
Configure one connected workflow, then reuse its mappings, definitions, and review process as the business grows.
- 01
Connect and prepare
Link reported failures to product configuration and batch references.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Compare patterns by cohort and identify missing or inconsistent failure coding.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver a field-quality review with traceability to relevant production records.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A field quality investigation pack
Make the next run easier.
A shared serial-to-batch model reduces manual searching during investigations.
Start from one approved example. Save the agreed mappings and definitions, publish the reviewed output, and let the next team follow the same evidence instead of rebuilding the preparation.
Measure your own improvement
Time tracing a field case to production context
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Qualified teams validate causes and approve customer or product actions.
AI with professional judgment.
Use AI to summarize exceptions and propose investigation paths. Engineers and authorized operators validate process changes and all safety-related actions.
Try the workflow with your team.
Use representative, approved sample data. Agree the expected output and a review owner before extending the workflow to a live process.