Explain the measure
Follow a result back to the recorded production context.
OEE & production losses
Where is our production time going, and what can we improve first?
Connect performance measures to the equipment events and recorded reasons behind them, so improvement discussions begin with losses your team can inspect.
A practical path from evidence to action
- Capture the shiftEquipment states, time and counts
- Classify the lossesModes and recorded reasons
- Review OEEAvailability, performance and quality
- Prioritize improvementInspect the events behind the measure
Improve classification
Make unknown or incorrect reasons a visible data-quality task.
Focus the discussion
Compare losses that the team can investigate and act on.
An OEE percentage is the beginning of the conversation.
A low number does not tell a team whether to investigate downtime, rate loss, rejects or the assumptions behind the calculation. IntelliTrack™ uses recorded equipment and production data to help separate those questions and support a focused improvement review.
How it works in IntelliTrack™
Capture consistently before comparing performance.
Define the measurement basis
Configure equipment states, production modes, relevant reason codes, counts and the ideal-rate assumptions.
Capture and classify events
Record the events and production outcomes. Have the appropriate users classify downtime and correct reasons through the supported workflow.
Review losses in context
Inspect OEE components and the associated reports for the selected equipment and time window. Reconcile a known shift before comparing periods.
Illustrative manufacturing scenario
A line misses its planned output despite limited reject loss.
The team reviews availability and performance alongside downtime reasons and counts. Rather than treating the headline result as a root cause, they inspect the events that account for the loss.
Availability
What you can inspectRecorded equipment time and downtime classification.
Your team's decisionIdentify time losses that need investigation.
Performance
What you can inspectProduction counts and the configured rate basis.
Your team's decisionCheck whether the baseline fits the actual product and operating conditions.
Quality
What you can inspectThe recorded good and reject production context.
Your team's decisionExamine which quality losses contributed to the result.
Build on the right data and responsibilities.
- Agree on planned time, equipment modes, rate assumptions and count definitions. Comparisons are useful only when the measurement basis is understood.
- Train operators and supervisors on reason assignment and correction. Missing or inaccurate classifications reduce the value of a loss analysis.
- Reporting can depend on synchronization and processing. Confirm the data's time window and completeness before treating a report as the current shift's final result.
Practical questions
What to know before you start.
Does installing IntelliTrack™ guarantee an OEE increase?
No. It provides records and analysis to support improvement work. The outcome depends on data quality, the opportunities identified and the changes your team implements.
Can operators classify downtime?
The workflow supports operator reason assignment and authorized correction. Configure responsibilities and reason codes so the recorded classification reflects what actually happened.
Why might two lines have misleadingly different OEE results?
Check their rate assumptions, product mix, planned time, count definitions and classifications. A comparable percentage requires a comparable measurement basis.
Is a dashboard always showing the latest equipment state?
Do not assume it is. Review the underlying report's scope, processing and refresh behavior, including reporting synchronization. A saved report or display is not automatically a real-time equipment monitor.
How should we evaluate the calculation?
Choose a shift whose events, counts and losses your team knows. Reconcile those inputs and the resulting OEE components before extending the evaluation to larger populations.
Bring a shift whose output did not match the plan.
We can work through the equipment states, counts and rate assumptions that explain the result and identify the evidence needed for a useful OEE evaluation.