Home » Calculators » Weaving & Fabric Formation » Narrow Fabrics, Tapes & 3D Weaving » Woven Label Pick Density & Defect Rate Predictor
Jump to a calculator 618 tools

Woven Labels

Woven Label Pick Density & Defect Rate Predictor

Put this calculator on your own site

Paste this where you want the calculator to appear. It works on any site — WordPress, Squarespace, Webflow, Ghost or plain HTML — and needs no JavaScript of yours. It carries a link back here, which is the only thing we ask for it.

See what it looks like

Doubling the pick density for a sharper logo halves the output and doubles the picks exposed to a defect. Both need pricing before the sample is approved.

Loom Running
picks/min
picks/cm
%
Label Layout
mm
no.
Quality Insertion faults
no.

Label Output

— labels/h

All columns across the width at the stated efficiency

Rate & Quality

Cloth Speed
— m/min
Picks per Label
— no.
Picks Inserted
— no./h
Expected Defective Labels
— labels/h
Defect Rate
— %

The model charges one defective label per defective pick, which is the pessimistic case. Where a fault spans several picks in one label the count is conservative — treat it as an upper bound on scrap.

Using this calculator

About the Woven Label Pick Density & Defect Rate Predictor

The formula

This is the expression the tool evaluates. Every term is named underneath, with the unit it must be supplied in.

Label Output
labelsPerHour = f( loomSpeed, picksPerCm, efficiency, labelLength, labelsAcross, defectsPerMillionPicks )

Each input feeds the expression evaluated in the browser; the symbol table below names every term and its unit.

Symbols used above
SymbolStands forUnit
loomSpeedLoom Speedpicks/min
picksPerCmPick Densitypicks/cm
efficiencyEfficiency%
labelLengthLabel Lengthmm
labelsAcrossLabels Across the Widthno.
defectsPerMillionPicksDefects per Million Picksno.
labelsPerHourLabel Outputlabels/h
clothSpeedCloth Speedm/min
picksPerLabelPicks per Labelno.
picksPerHourPicks Insertedno./h
defectiveLabelsExpected Defective Labelslabels/h
defectRateDefect Rate%

How the result is derived

Step by step, from the values you type to the figure on screen.

  1. The 6 inputs are read from the form on every keystroke: Loom Speed, Pick Density, Efficiency, Label Length, Labels Across the Width and Defects per Million Picks.
  2. Each value is checked against the accepted range in the input table below. A value outside its range stops the calculation rather than producing a misleading figure — the results blank out and a message appears.
  3. The validated values are substituted into the expression above, which resolves Label Output together with every supporting figure in one pass — no value is carried over from a previous entry.
  4. The supporting outputs — Cloth Speed, Picks per Label, Picks Inserted, Expected Defective Labels and Defect Rate — come from the same pass, so they always describe the same case as the headline figure.
  5. Results are rounded for display only. The full-precision value is used throughout the chain, so reading a rounded intermediate figure back into the tool by hand can shift the last digit.

What each input means

Where to read each value on the floor, the unit it must be in, and the range the tool accepts.

InputUnitAccepted rangeDefaultWhat it means
Loom Speedpicks/min50 to 1500 picks/min400
Pick Densitypicks/cm10 to 300 picks/cm90
Efficiency%20 to 100 %75
Label Lengthmm5 to 500 mm40
Labels Across the Widthno.1 to 100 no.12
Defects per Million Picksno.0 to 500 no.3

What the tool returns

The headline figure and every supporting value it is built from.

OutputUnitWhat it tells you
Label Output (headline result)labels/hAll columns across the width at the stated efficiency
Cloth Speedm/min
Picks per Labelno.
Picks Insertedno./h
Expected Defective Labelslabels/h
Defect Rate%

Worked example

Given

Loom Speed
400 picks/min
Pick Density
90 picks/cm
Efficiency
75 %
Label Length
40 mm
Labels Across the Width
12 no.
Defects per Million Picks
3 no.

The tool loads with this case already solved — the Label Output shown above is its answer. Change one value and the difference from this baseline is the sensitivity of the result to that variable.

How to use it

  1. Work through the input groups in order — Loom, Label and Quality. The defaults are a realistic case, so you can change one value at a time and watch what moves.
  2. There is no calculate button. Every figure recalculates as you type or drag, which is what makes this usable for a what-if sweep rather than a single answer.
  3. Read Label Output in the dark results panel — that is the headline figure, expressed in labels/h.
  4. Check the supporting rows underneath (Cloth Speed, Picks per Label, Picks Inserted, Expected Defective Labels and Defect Rate) before acting on the headline — they are where an implausible input usually shows itself first.
  5. Reset to defaults returns every field to the reference case, which is the quickest way to check whether a surprising result came from the tool or from an input you had changed earlier.

Where this is used

  • Process planning — establishing Label Output before a trial is booked, so machine time and material in Narrow Fabrics, Tapes & 3D Weaving are committed against a calculated figure rather than an estimate.
  • Costing and quotation — Label Output is an input to the cost sheet, and quoting from a worked number rather than a remembered one is what keeps a margin intact.
  • Troubleshooting — when the floor result drifts from plan, entering the measured values (starting with Loom Speed) shows how much of the gap in Label Output each variable explains.
  • Teaching and study — the accepted ranges bracket normal Narrow Fabrics, Tapes & 3D Weaving practice, so moving one variable at a time shows the shape of the relationship rather than a single answer.

Assumptions and limits

  • The model charges one defective label per defective pick, which is the pessimistic case. Where a fault spans several picks in one label the count is conservative — treat it as an upper bound on scrap.
  • Every input is bounded to the range normal practice occupies (Loom Speed 50 to 1500 picks/min, Pick Density 10 to 300 picks/cm and Efficiency 20 to 100 %, and so on for the rest). Those bounds are guard rails against typing errors, not a claim that the formula fails one unit outside them.
  • The calculation is deterministic: the same inputs always give the same result. It carries no allowance for machine condition, operator skill, ambient conditions or lot-to-lot material variation unless an input above explicitly represents one.
  • Nothing is sent anywhere. The maths runs in your browser, so the numbers you type never leave the page.

Questions people ask

What do I need to know before using the Woven Label Pick Density & Defect Rate Predictor?

Have these to hand: Loom Speed, Pick Density, Efficiency, Label Length, Labels Across the Width and Defects per Million Picks. With those entered, the tool returns Label Output immediately.

What exactly is Label Output?

All columns across the width at the stated efficiency. It is reported in labels/h. It is derived from Loom Speed, Pick Density, Efficiency, Label Length, Labels Across the Width and Defects per Million Picks, and is the figure the rest of the Narrow Fabrics, Tapes & 3D Weaving calculation is built around.

Which units does this calculator expect?

Enter Loom Speed in picks/min, Pick Density in picks/cm, Efficiency in %, Label Length in mm, Labels Across the Width in no. and Defects per Million Picks in no.. Mixing unit systems is the most common cause of a result that looks an order of magnitude wrong — convert before typing, not after reading.

What are the other figures under the main result?

They are the intermediate quantities the calculation passes through: Cloth Speed, Picks per Label, Picks Inserted, Expected Defective Labels and Defect Rate. They are shown because a headline number nobody can trace is a number nobody trusts — checking them against your own expectation is the fastest way to confirm the inputs were read as you intended.

Can I rely on this for a production decision?

The model charges one defective label per defective pick, which is the pessimistic case. Where a fault spans several picks in one label the count is conservative — treat it as an upper bound on scrap. Treat the output as an engineering estimate that narrows the trial window, not as a substitute for the trial.

Scroll to Top