Simulation data
OEE78.5%Estimated
Availability88%Run time / planned production time
Performance91%Actual rate / ideal rate
Quality98%Good meters / total meters

Textile OEE Loss Tree

Losses are separated by factor so the team can act on the real constraint.

Estimated split
Availability88%1,859 m loss
Breakdown44%
Beam change34%
No yarn / material22%
Performance91%1,227 m loss
Yarn breaks39%
Micro-stops36%
Reduced speed25%
Quality98%248 m loss
Start-up waste43%
Holes / lines34%
Tension defects23%

Good Meter Waterfall

Translate OEE into the production quantity the factory can recover.

Theoretical15,493 m
Availability loss-1,859 m
Performance loss-1,227 m
Quality loss-248 m
Good meters+12,159 m
Recoverable this period1,142 mControlled estimate: 37% of availability and performance loss; human validation required.
Order OEE76.8%Active orders only · comparable scope
First Good Meter18 minAfter changeover · target 14 min
Recurring micro-stops23 events7–42 sec · 3 machines
Energy / good meter0.42 kWhAdjacent sustainability KPI · not part of OEE

Product × Machine × Shift

Compare OEE only within the same product and operating context.

Context-normalized
ProductMachineShiftOEEPrimary signalDecision
GA002S01K00Shift A83.8%Within contextComparable
SM005S05K01Shift A78.5%Within contextComparable
SM010S01K02Current Shift78.5%Within contextComparable
SM010S01K03Current Shift51.7%Micro-stopsReview
SM010S01K04Current Shift72.2%Within contextComparable
OEE confidenceEstimated · 82%Machine counters and shift calendar are present; good-meter inspection and micro-stop classification still need connection.
VerifiedSpeed, runtime, order and machine
EstimatedIdeal cycle and reason allocation
Needs dataAutomatic defect length and energy meter
Formula changes saved in Merikh FDE are reflected in this prototype result. Loss taxonomy follows textile operating context and remains separate from the formula.View KPI Formula Engine