Example of Pareto Chart

An inspector for a clothing manufacturer investigates sources of clothing defects to prioritize improvement projects. The inspector tracks the number and type of defects in the process.

An engineer creates a Pareto chart to prioritize the defects that the inspector found.

  1. Open the sample data, ClothingDefect.MTW.
  2. Choose Stat > Quality Tools > Pareto Chart.
  3. In Defects or attribute data in, enter Defect.
  4. In Frequencies in, enter Count.
  5. Select Combine remaining defects into one category after this percent, and enter 95.
  6. Click OK.

Interpret the results

In this example, 45.2% of the defects are missing buttons and 23.3% are stitching errors. The cumulative percentage for missing buttons and stitching errors is 68.5%. Thus, the largest improvement to the entire clothing process might be achieved by solving the missing button and stitching problems.

By using this site you agree to the use of cookies for analytics and personalized content.  Read our policy