TAP Analytics
From data to decisions.
TAP Analytics turns raw streams into the metrics that run a plant — OEE, downtime, energy, and production intelligence.
OEE Engine
Availability × Performance × Quality.
One number that captures how well every machine actually runs — decomposed into its three factors and the Six Big Losses that erode them, computed live from the same stream your dashboards read.
- Live OEE rolled up per machine, line, and plant
- Shift-by-shift breakdown with target vs actual
- Six Big Losses attribution behind every point lost
Downtime Analysis
Find the twenty percent that costs you eighty.
Every stop is timed, tagged, and ranked. Pareto ordering surfaces the reasons worth fixing first, while MTBF and MTTR track whether reliability is actually improving.
- Pareto ranking of stops by coded reason
- MTBF and MTTR trended per asset and line
- Operator reason coding on every recorded stop
Full Analytics Suite
Every metric a plant runs on.
Energy, production, reporting, trends, and targets — one engine, computed on the live data your machines are already sending.
Energy analytics
kWh per unit produced, power factor, peak demand, and phase imbalance — energy cost tied directly to output.
Production analytics
Cycle time, first-pass yield, changeover duration, and scrap — measured per machine, part, and shift.
Reports
Scheduled PDF and Excel exports, shift-handover summaries, and management roll-ups delivered on a cadence you set.
Trend analysis
7, 30, and 90-day trends with statistical analysis and benchmarking across lines, assets, and periods.
Downtime reason coding
Operator-tagged stops sorted into categorised losses, so every minute of downtime has a documented cause.
KPI targets
Per-asset targets for OEE, yield, and energy — with threshold alerts the moment a metric drifts off plan.
Real Numbers
Metrics you can trust because the data is fresh.
OEE is only as honest as its inputs. TAP Analytics computes on the same live stream that reaches your screen in milliseconds — not on a nightly batch.
Device-to-browser latency feeding every metric
Write round-trip for setpoints and targets
From connected machines to live OEE
6ms device-to-browser · observed in production integration testing.
Stop reporting the past. Start managing the present.
See live OEE, downtime, and energy running on real data — in 15 minutes.