MMerikh
HH
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
SM039S01K06Current Shift75.9%Micro-stopsReview
SM022S05K07Current Shift80.2%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 ›