Equipment downtime analysis
Plants classify stoppages differently, making recurring equipment problems hard to compare.
The challenge behind the workflow.
Plants classify stoppages differently, making recurring equipment problems hard to compare.
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
- Machine event records
- Downtime reasons
- Maintenance work orders
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
Align asset identifiers and standardize event windows and reason definitions.
Build the preparation as a reusable visual workflow or reviewed code, with explicit source mappings and validation checks. - 02
Investigate and validate
Compare recurring stoppages and separate measurement gaps from recorded downtime.
Keep shared definitions and source versions with the analysis so another team can reproduce the result. - 03
Publish and review
Deliver a downtime review dashboard with source events and maintenance context.
Make the output available to the right people with appropriate access, ownership, and review evidence.
An equipment downtime review
Make the next run easier.
Common event definitions reduce manual reconciliation between operations and maintenance.
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 investigating recurring downtime categories
Record a baseline before the pilot and compare like-for-like work afterward. Results depend on source quality, configuration, and adoption.Review and responsibility
Engineers verify causes before changing equipment or operating procedures.
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.