Production visibility
One operating picture of output, throughput, and downtime by machine, line, and shift — built from the plant's own facts and editable in plain language.
For: Plant and mill managers, production supervisors, operations leaders
Questions people ask
- “Tell me what changed since yesterday.”
- “Show output and downtime by machine.”
- “Compare this shift with the latest comparable period.”
- “What is the largest verified constraint?”
Source systems
- PLC, sensor, and machine data collected at the edge
- Optimizer and production databases
- Downtime and machine-event sources
- Shift, product, and grade reference data
What you get
- Governed dashboards created and edited from normal requests
- Grounded answers shown beside the chart, with returned rows
- One verified constraint with the evidence behind it
- A ranked action plan with owners and verification metrics
Where this stops
Every view is read-only over approved fact surfaces. Live correctness depends on connected sources and current uploads; an empty result is reported as empty.
Workflows
Ask, inspect, produce, review
Live plant command center
Plant or mill manager
Implemented path. Requires source connection and site-specific mapping during deployment.
Build my morning dashboard for production and downtime.
Systems read
- PLC and machine data via Import Intel Edge
- Optimizer and production databases
- Downtime and machine-event sources
Work performed
- 01Read current or latest-available production facts for the requested scope.
- 02Build the production trend and compare output by machine and shift.
- 03Build the downtime trend and compare downtime by machine.
- 04Keep source, returned rows, and time scope attached to every tile.
Result
A governed dashboard the manager can inspect or edit tile by tile, with the query, returned rows, and time scope behind each view.
Approval boundary
Live correctness depends on configured source connections and current edge uploads. Empty results stay empty — sample data is never substituted for a live query.
Production constraint action plan
Operations leader or continuous-improvement lead
Implemented path. Requires source connection and site-specific mapping during deployment.
Compare output and downtime by asset. What is the largest verified constraint?
Systems read
- Governed production and downtime fact surfaces
- Operational schema and live semantic profile
- Site ontology: machines, lines, metrics, units, shifts
Work performed
- 01Inspect the operational schema and the live semantic profile before planning.
- 02Query approved facts with read-only access and bounded result sizes.
- 03Compare machine performance across the requested time scope.
- 04Identify one evidence-backed constraint and quantify it from returned rows.
- 05Produce ranked draft actions with owners and verification metrics.
Result
One verified constraint, the rows that prove it, and three ranked draft actions each with an owner and a metric to verify against.
Approval boundary
The plan is a recommendation for review. Failed plans and invalid assumptions are surfaced, not hidden behind an unrelated fallback.
Run this on your data.
Bring the version of this workflow your team runs today. We map it, connect the minimum sources in read-only mode, and validate the answer against your current process before anything expands.