Multi-vari chart and box plot online
A multi-vari study shows in one chart whether the variation of a characteristic comes from inside the part, from part to part or from time to time. It is one of the quickest ways to narrow a root cause search before running experiments.
Enter time, part, an optional position and the measured value. The tool draws the multi-vari chart, splits the total variation into its families with F-tests and shows box plots by any factor.
How it works in 4 steps: Multi-Vari Chart and Box Plot
- Sample5 × 3 × 3time, part, position
- ChartMulti-variall values in one view
- SplitWithin part 78 %largest family of variation
- FocusTapersearch causes in that family
How the Multi-Vari Chart and Box Plot works
The total sum of squares is split into nested families (time, part within time, position within part and repeats). Each family is shown as a share of the total and tested against the family nested inside it.
Box plots use quartiles by the (n + 1) p rule, whiskers to 1.5 IQR and outliers beyond.
When to use it
Use a multi-vari study at the start of a root cause investigation, when a characteristic varies too much and nobody knows why, to decide whether to look at the machine, the material, the fixture or the measurement, and as the first step of a Shainin-style search.
PDF report in one click
Export the study as a PDF with the verdict, the multi-vari chart, the box plot, the table of families of variation and the group statistics.
Private: everything runs in your browser
All calculations run in your browser. Your measurements are never uploaded.
How to run a multi-vari study
- Plan the sampling: 3 to 5 consecutive parts, measured at the same positions, repeated 4 to 6 times over the shift.
- Enter one row per measurement: time, part, position (optional) and the value.
- Read the largest family of variation and look at the chart to see its pattern.
- Search for causes inside that family, for example with a fishbone diagram or 5 Why.
If most of the variation is repeat noise, check the gauge first with a Gage R&R. Once the family is known, test the suspected factors with a DOE.
Frequently asked questions
›What is a multi-vari chart?
A chart that shows the main families of variation at once: within a part (positional), from part to part (cyclical) and over time (temporal). The family with the largest spread is where the root cause search should start.
›How do I collect the data?
Take a few consecutive parts (for example 3), measure each at several positions, and repeat this at regular intervals over a shift or a day. Record the time, the part number, the position and the value.
›How are the percentages calculated?
The total sum of squares is split into nested parts: between time periods, between parts within a period, between positions within a part and the remaining repeat variation. Each family is tested with an F-test against the family nested inside it.
›What does the box plot show?
The middle 50 % of the values as a box, the median as a line, the mean as a cross, whiskers up to 1.5 times the box height and outliers as circles. Quartiles follow the same (n + 1) p rule as Minitab.