Kartorium Docs

Station Analytics

3 min read

Station Analytics

oee station analytics

Station Analytics provides charts for analyzing station-level performance. Charts aggregate data across all machines at a station, giving a view of the station as a production unit. The same chart types are available at the machine level — see Machine Analytics for single-machine analysis.

All station analytics charts use the shared chart configuration system described in Analytics.

Available Charts

OEE

Overall Equipment Effectiveness trend over time, calculated as Availability x Performance x Quality. Plotted as a line chart with each station as a series. See Efficiency Calculation for the OEE formula and calculation modes (standard, strict, TEEP).

Availability

Uptime as a proportion of planned production time. Shows how much of the station’s available time was spent producing vs. stopped. Which downtime types reduce availability depends on the calculation mode.

Performance

Actual throughput vs. expected throughput at target rate. Measures whether the station is producing at the speed it should be when running. Performance can exceed 100% if production is faster than target.

Quality

Good parts as a proportion of total parts produced. Shows the defect rate over time. Aborted batches are excluded from the quality calculation.

Scrap Rate

Scrap parts as a percentage of total parts over time. Inverse perspective of quality — highlights waste rather than yield.

MTTR (Mean Time To Repair)

Average duration of unplanned downtime events, measured in minutes. Tracks how quickly the station recovers from failures. Lower is better. Only unplanned downtime events with both start and end timestamps are included.

MTBF (Mean Time Between Failures)

Average time between unplanned downtime events, measured in hours. Tracks how reliably the station runs before the next failure. Higher is better.

Downtime

Total downtime in minutes, broken down by reason. Available as both a line chart (total downtime over time) and a Pareto chart (downtime by reason, by type, or by machine). The Pareto view identifies the biggest downtime contributors.

Throughput

Parts produced per time interval. Shows station output volume as job count, batch count, or batch duration. Available as completed jobs per interval, total good parts per interval, and average cycle time.

Batch/Job Count and Duration

Number of completed batches or jobs per interval, and their total or average duration. Tracks production volume and how long work takes at the station.

Chart Configuration

Every chart supports:

  • Time interval — group data by 1 hour, 1 day, 1 week, or 1 month
  • Date range — preset ranges (24 hours, 7 days, 30 days, 3 months, 1 year, max) or custom start/end dates
  • Machine filter — select which machines at the station to include. Each selected machine appears as a separate series on line charts.
  • Downtime type filter — include/exclude planned, unplanned, and idle downtime
  • Downtime reason filter — filter by specific reason codes
  • Calculation mode — standard, strict, or TEEP for availability-based metrics

See Analytics for the full chart configuration system, Pareto chart options, and dashboard grid layout.

Codebase Paths

  • Frontend: frontend/src/app/features/oee-dashboard/components/analytics-tab/
  • Chart config model: frontend/src/app/features/oee-dashboard/models/chart-config.model.ts

See Also

Graph View

Backlinks