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.

類型 長條圖引擎 echarts-bar更新時間 2026/9/24

需求

“Create a histogram of 100 sampled 500 mL bottles using 2 mL fill-volume bins from 494 to 506 mL with frequencies 3, 12, 31, 34, 15, and 5.”

接著試試Add lower and upper specification limits.Change the 502–504 mL bin to 18 bottles.

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看懂背後的決策。

01Measurement

Record fill volume in milliliters.

02Resolution

Use two-milliliter bins for the sample.

03Control

Compare the spread with formal specifications outside the histogram.

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

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常見問題

Why use a histogram in quality control?

It shows the distribution and spread of measurements, helping teams spot shifts, skew, or unusually broad variation.

What is nominal fill volume?

It is the labeled target amount the filling process is intended to deliver.

Does a centered histogram prove compliance?

No. Compliance also depends on the applicable specification limits, sampling plan, and measurement accuracy.