OEE Software for Manufacturers Without the $80K Sensor Project
JobLine.ai calculates Overall Equipment Effectiveness from operator-entered job data — no PLCs, no edge hardware, no OPC-UA server. Get OEE, utilization, and downtime insights for every machine starting today.
OEE = Availability × Performance × Quality
JobLine.ai tracks all three components automatically from your production data.
Losses from breakdowns, changeovers, and unplanned stops
Losses from slow cycles, minor stoppages, and speed losses
Losses from scrap, rework, and first-article rejections
OEE Features
OEE Dashboard
Overall Equipment Effectiveness calculated automatically from operator-entered job data. Availability, Performance, and Quality scores per machine — updated each shift.
Downtime Tracking & Reason Codes
Operators log downtime events with reason codes (breakdown, setup, wait for material, quality hold). See which reasons are costing you the most capacity.
Machine Utilization by Shift
See utilization rates per machine, per shift, and per work center. Identify your bottleneck stations and your chronically underused capacity.
Downtime Alerts
Real-time alerts when a machine has been idle longer than a configurable threshold. Supervisors know about capacity losses while there's still time to recover.
OEE Trend Reports
Track OEE improvement over weeks and months. Compare before/after process changes and justify capital investment with actual performance data.
Performance vs. Planned Cycle Time
Capture the Performance component of OEE by comparing actual cycle time to rated cycle time per operation — identifying where machines are running below their potential.
What OEE Tracking Delivers
- OEE calculated automatically — no manual spreadsheet formulas
- Availability, Performance, and Quality components tracked separately
- Downtime events tagged by reason for root cause analysis
- Machine-level utilization rates by shift and by week
- Unplanned downtime alerts while event is in progress
- OEE trend charts to measure continuous improvement efforts
- Quality losses (scrap, rework) tied back to machine and shift
- No hardware sensors required — operator-logged data is sufficient
Free Shift Handoff Template
The one-page handoff your next shift will actually read. Excel + printable PDF.
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Frequently Asked Questions
What is OEE and why does it matter for job shops?
OEE (Overall Equipment Effectiveness) measures how effectively a manufacturing machine is being used. It combines three factors: Availability (is the machine running when planned?), Performance (is it running at rated speed?), and Quality (are parts coming out good?). World-class manufacturing targets 85% OEE. Most job shops run at 50–65% — meaning huge untapped capacity already on the floor.
How does JobLine.ai calculate OEE without machine sensors?
Operators log job start/stop times, part counts, and downtime events from their phones or tablets. JobLine.ai uses that data to calculate availability and performance components. Quality data comes from in-process inspection logs and scrap entries. No MTConnect, OPC-UA, or PLC integration required — though we support those for shops that want automated data.
What's a good OEE score for a job shop?
World-class manufacturers aim for 85%+, but that benchmark assumes high-volume production. For high-mix job shops, 65–75% OEE is a realistic target given frequent changeovers and varied part complexity. The value is in trending improvements, not achieving a specific number.
Can I track OEE by machine, shift, or operator?
Yes. OEE can be sliced by machine, work center, shift, day, week, or month. You can also see which operators or shifts have different performance characteristics — a useful input for training and process improvement.
Start measuring OEE this week
Free trial — no hardware installation required.