OptimalOEE™Production performance

Use cases → Reliability engineer

For the reliability engineer.

You are asked to defend the OEE number and to say where the losses are. OptimalOEE™ gives you both – from source, and on an audit trail.

The problem

OEE you cannot fully trust, losses buried in spreadsheets.

Numbers re-keyed by hand, a cached figure nobody can explain, and stoppage reasons that never quite add up. It is hard to act on a number you cannot defend.

Recompute from source

OptimalOEE™ recalculates OEE from the source tables on every read, so you always know exactly how the number was formed.

Rank the real losses

Every stop is categorised and trended, so the biggest recurring losses surface first instead of hiding in an average.

Keep the audit trail

Corrections are attributed, timestamped and reversible, so cleaning the data never costs you the history.

The outcome

What good reliability engineering returns.

Ranges confirmed across Optimal client engagements. Illustrative, not a guarantee.

+3–7%
Asset availability
−8–20%
Maintenance cost
+10–25%
Productivity
−5–10%
Spares inventory

"The first time the OEE number matched what the crew saw on the floor, the conversation changed from arguing about the data to fixing the losses."

Illustrative of the reliability-engineer workflow. Replace with a named client quote in the build.

Put a defensible OEE number in front of your plant.

Start a 14-day trial and work your real losses on real data.

14-day trial · access issued by hand · no card required