MANUFACTURING

Brewery Fill Volume Histogram

This histogram shows fill volumes from a 100-bottle quality-control sample for a nominal 500 mL product. The distribution centers near the target, with relatively few bottles at the low and high ends of the measured range. The chart makes spread and skew visible, which a single average cannot do. It is a useful first check after a line adjustment or during routine process review. A histogram does not by itself establish compliance: formal lower and upper specification limits, measurement-system quality, and sampling rules still matter. Keep the bin width and calibration method consistent if you compare batches or shifts, and investigate a shift in the distribution before changing the filler setting.

UPDATED 2026-09-25
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EXAMPLEBrewery Fill Volume Histogram
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CASE ANALYSIS

Scenario

Checking bottle-fill consistency

Key decisions

  • Measurement: Record fill volume in milliliters.
  • Resolution: Use two-milliliter bins for the sample.
  • Control: Compare the spread with formal specifications outside the histogram.

When to reuse this

Use this histogram as an initial view of fill consistency in a quality-control sample.

FAQ

Frequently asked questions

Why use a histogram in quality control?01
It shows the distribution and spread of measurements, helping teams spot shifts, skew, or unusually broad variation.
What is nominal fill volume?02
It is the labeled target amount the filling process is intended to deliver.
Does a centered histogram prove compliance?03
No. Compliance also depends on the applicable specification limits, sampling plan, and measurement accuracy.
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