LEAN Toolboxby Availix · Interactive LEAN tools

Purpose and method

Visualize the distribution of measured values and compare process spread with specification limits and target.

When to use it

Use a histogram to understand centering, variation, skewness, multiple populations and capability risk.

Core principle

A histogram shows the shape of a dataset but hides time order. It should be paired with process context and a control chart before capability conclusions are made.

What the interactive module provides

  • Frequency distribution
  • Mean and standard deviation
  • LSL, target and USL comparison
  • histogram, descriptive statistics and visual comparison with limits
Professional verification: The module supports learning, analysis and documentation. Verify results against actual process conditions, internal standards, safety requirements and competent professional judgement before implementation.
01

Recommended workflow

Visualise the distribution of measured data, compare it with specification limits and detect spread, skew, multimodality or unusual values.

  1. 1

    Verify measurement system and units

  2. 2

    Select data from a stable and relevant scope

  3. 3

    Choose meaningful bins and display limits

  4. 4

    Interpret centre, spread, shape and outliers

  5. 5

    Segment the data when multiple populations are suspected

02

Practical example

A torque histogram has two peaks. Shift-level review reveals different tool programmes, which would be invisible from the overall mean alone.

Calculation or verification principle

Bin frequency is the count of observations inside each interval. Use consistent units and choose a bin width that reveals structure without exaggerating noise.

Required inputs → Expected outputs

Required inputs
numeric measurements, units, optional LSL/USL and a meaningful subgroup or period
Expected outputs
histogram, descriptive statistics and visual comparison with limits
03

Common mistakes to avoid

×

Calling the distribution stable without time analysis

×

Using too few or too many bins

×

Mixing product variants or measurement methods

×

Treating specification limits as control limits

04

Frequently asked questions

What data do I need to use this tool?

Prepare numeric measurements, units, optional LSL/USL and a meaningful subgroup or period.

What result does the module produce?

The module produces histogram, descriptive statistics and visual comparison with limits.

Can I implement the result without further review?

No. Treat the output as a structured engineering and improvement aid. Verify source data, assumptions, safety, quality, legal requirements and local process conditions with competent responsible people before implementation.

05

Related LEAN tools

Control Chart & SPCPlot process data in time order, calculate control limits and distinguish common-cause variation from signals that require investigation.Scatter Diagram & CorrelationPlot paired observations, estimate the strength and direction of association and reveal clusters, curvature or outliers that deserve investigation.Pareto AnalysisRank loss categories, calculate cumulative contribution and focus improvement on the few categories that dominate the selected measure.Process FMEA Risk AnalysisConnect process functions, failure modes, effects, causes and current controls, then prioritise prevention and detection improvements with accountable actions.
LEAN Toolbox

Histogram & Distribution Analysis
Visualise the distribution of measured data, compare it with specification limits and detect spread, skew, multimodality or unusual values.

Open interactive tool →