Platform Features · OEE
OEE, computed by the machines themselves.
Most Indian plants calculate OEE once a month, from a spreadsheet, two weeks after the month it describes — and then argue about it. MachineWise reads the signals a CNC or PLC already produces and computes Availability × Performance × Quality continuously, to the ISO 22400-2 definition, with every stop already timestamped and attributed. There is no operator data entry, no ideal-cycle standard to maintain before you start, and no version of the number that belongs to one department. On a machining floor that usually means discovering that the score is lower than anyone believed and, for the first time, exactly which of the three factors is taking it there.
Auto-computed A×P×Q1h–24h timelinesShift & crew comparisonTV modePDF/Excel exportWhatsApp shift reports
The problem it kills
Manual OEE tracking is always late and always wrong.
SPREADSHEETS
The report that arrives late
Manual OEE arrives two weeks after the month it describes — too late to fix anything, too aggregated to blame anything.
DISPUTES
Whose number is right?
Production says 78%, planning says 61%. When OEE comes from machine signals, there's one number and it's nobody's opinion.
AGGREGATION
Averages hide everything
A plant-level 65% hides the machine at 31%. Machine-level, shift-level, part-level OEE — drill from boardroom to spindle.
How it works
OEE, the MachineWise way.
Deployed software-first in under an hour, included in one subscription — no per-module licensing.
AVAILABILITY
Every stop, timestamped
- Unplanned stops auto-detected to the second
- Changeover and setup time separated from breakdowns
- Reason codes assigned at the machine
- Downtime Pareto builds itself
PERFORMANCE
Slow cycles, exposed
- Actual vs ideal cycle time per part
- Feed-override and micro-stop visibility
- Best-demonstrated benchmarks per machine-part pair
- Colour-coded cycle-status timelines
QUALITY
Rejects, explained
- Rejection logging at the machine
- Correlation with machine state at the moment of the event
- First-pass yield trends by machine and operator
- Feeds the Quality module's root-cause tools
meaningfulTypical OEE gain within 90 days
Zero entryNo operator data entry required
LiveRefreshed continuously, not monthly
Definitions
Which OEE are we talking about?
Two definitions circulate in Indian plants, and quoting one while your customer means the other causes avoidable arguments. MachineWise computes both and labels them.
ISO 22400-2 — THE STANDARD
The definition to quote externally
- Availability = actual production time ÷ planned production time
- Effectiveness (Performance) = (produced quantity × ideal cycle time) ÷ actual production time
- Quality = good quantity ÷ produced quantity
- Requires a maintained ideal cycle time per part
THE MACHINEWISE VARIANT
What a machine can answer without standards
- Availability = machine on-time ÷ reporting time
- Performance = productive time ÷ machine on-time — a time-in-cut proxy
- Quality = approved parts ÷ parts produced — identical to ISO
- Needs no ideal cycle time, so it works on short and mixed batches
WHY BOTH
They answer different questions
The ISO definition asks how fast the machine ran against a standard. The MachineWise variant asks how much of the paid-for time actually made parts. A machine can score well on the variant while cutting slowly, which is precisely why we never present the variant as the ISO figure or compare it to ISO-based benchmarks.
Related reading: the definitions and standards collected in Resources, the solutions index if you want OEE in the context of your industry, and the free OEE calculator to work your own numbers before talking to anyone.
The OEE hub
Everything that sits under OEE.
OEE is a single number resting on three factors and a dozen data sources. These pages cover how each factor is measured, where the losses hide, and what the number is worth once you have it.
Work it out yourself
Free tools, no sign-up.
Keep exploring
Goes deeper with the rest of the platform.
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