Production quality traceability
Quality teams struggle to connect a finished batch with its material, process, and inspection history.
The challenge behind the workflow.
Quality teams struggle to connect a finished batch with its material, process, and inspection history.
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
- Batch production records
- Material lots
- Inspection results
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 batches and lots while preserving process timestamps and approved identifiers.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Identify incomplete traceability and compare quality exceptions across related batches.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Publish an investigation pack with upstream and downstream references.
Make the output available to the right people with appropriate access, ownership, and review evidence.
A batch traceability evidence pack
Make the next run easier.
Reusable batch lineage reduces manual evidence collection during quality reviews.
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 to assemble a batch history
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Quality authorities confirm affected scope and authorize disposition decisions.
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.