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Calcimator

Size Run Calculator

Calculate quantity per size using a bell curve distribution for apparel production planning.

About this calculator

This calculator splits a production run across your size range using a Gaussian (bell curve) distribution centered on whichever size you designate as the peak seller — almost always a middle size like Medium. Each size's share of the total is weighted by exp(−distance² / (2σ²)), where distance is how many size-positions that size sits from the peak; sizes right at the peak get the full weight while sizes further away taper off following the classic bell-curve shape. The curve's steepness is controlled by the spread setting: "Tight" uses a narrow σ of 0.8, concentrating units heavily on the peak size and its immediate neighbors; "Wide" uses σ = 2.0, spreading units more evenly across the whole range; "Normal" sits in between at σ = 1.2.

All size weights are normalized to sum to 1, then multiplied by total units and rounded to whole garments — since rounding several sizes independently can leave the total off by a few units, any rounding difference is added back onto the peak size specifically, so the sizes that matter least aren't the ones absorbing the adjustment. The result is a size-by-size allocation plus the peak size's unit count and the smallest size's unit count for quick reference. This model assumes your actual sell-through genuinely follows a bell curve around one peak size — it won't fit bimodal size distributions (common when a style skews toward both petite and plus customers) or brands whose best-selling size sits at an extreme rather than the middle, so validate the peak position and spread against your own sales history before committing a full production run to it.

Inputs

Results

Units at Peak Size

172

Smallest Size Units43
Total Allocated500
Rounding Adjustment (units)0
How to Use This Calculator
  1. Enter Total Units — the total production run quantity.
  2. Set Number of Sizes in your size range.
  3. Enter Peak Size Position — which size (by rank) sells the most (typically the middle size).
  4. Adjust Curve Spread to control how steeply the bell curve drops off toward extremes.
  5. Review Units at Peak Size, Smallest Size Units, Total Allocated, and the Rounding Adjustment (the units added to or removed from the peak size so the allocation sums exactly) to finalize the production size ratio.

How the result changes with Total Units

Total UnitsUnits at Peak Size
25086
375129
750258
1,250430

What each input means

Total Units
Total production quantity across all sizes.
Number of Sizes
How many sizes in your range (e.g., XS-XL = 5 sizes).
Peak Size Position
Which size gets the most units (1 = smallest, n = largest). Usually medium.
Curve Spread
How steeply the bell curve drops off toward the size extremes.

What each result means

Rounding Adjustment (units)
Whole-garment units shifted onto the peak size to make the allocation sum exactly to Total Units.

How this is calculated

Worked example, using the default values

  1. Identify Input Parameters
    4 parameters
    Total Units = 500, Number of Sizes = 5, Peak Size Position = 3, Curve Spread = 2 = 4 input(s) provided
  2. Calculate Units at Peak Size
    Units at Peak Size
    172 = 172
  3. Calculate Smallest Size Units
    Smallest Size Units
    43 = 43
  4. Calculate Total Allocated
    Total Allocated
    500 = 500

Engine last updated . Checked against 2 independently-derived tests — how we verify calculators. Built by Paul Gunder, a software engineer, not a licensed financial, medical, or legal professional.

Frequently Asked Questions

Why does any rounding leftover always get added to the peak size instead of spread across all sizes?

Rounding each size's share to a whole garment independently can leave the total a few units short of or over your target quantity. Rather than distort several sizes' proportions slightly, the calculator adds the entire difference to the peak size — the size already receiving the most units, so a handful of extra or fewer garments there barely changes its relative share.

What's numerically different between the Tight, Normal, and Wide curve spread settings?

Each setting changes the sigma value in the underlying bell-curve formula: Tight uses 0.8, Normal uses 1.2, and Wide uses 2.0. A smaller sigma makes the curve fall off faster with distance from the peak, concentrating units heavily on the peak size and its nearest neighbors, while a larger sigma flattens the curve so units spread more evenly across the whole size range.

What does Peak Size Position actually change in the calculation?

It sets which size index the bell curve is centered on — every other size's weight is based on exp(-distance² / (2σ²)), where distance is measured in size-positions away from this peak. Moving the peak toward either end of your size range shifts the whole allocation with it, so the position you choose should match which size in your range actually sells the most, not automatically the middle one.

My best-selling sizes are at both ends of the range (e.g., petite and plus) — will this calculator model that correctly?

No — this model assumes a single peak size with units tapering off symmetrically in both directions, so it can't represent a bimodal distribution where two separate sizes each outsell the sizes between them. In that case the bell-curve allocation would under-stock your actual best sellers at the extremes while over-stocking the middle sizes it assumes are dominant.

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