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What is it: The u-Chart is for monitoring the percent of samples having the condition, relative to either a fixed or varying sample size, when each sample can have more than one instance of the condition or chart used with data collected in subgroups of varying sizes. u-Charts show how the process, measured by the number of nonconformities per item or group of items, changes over time. Nonconformities are defects or occurrences found in the sampled subgroup. They can be described as any characteristic that is present but should not be, or any characteristic that is not present but should be. For example, a scratch, dent, bubble, blemish, missing button, and a tear are all nonconformities.

Why use it: u-Charts are used to determine if the process is stable and predictable, as well as to monitor the effects of process improvement theories.

When to use it: u-Charts show how the process, measured by the number of nonconformities per item or group of items, changes over time. Nonconformities are defects or occurrences found in the sampled subgroup. They can be described as any characteristic that is present but should not be, or any characteristic that is not present but should be. For example, a scratch, dent, bubble, blemish, missing button, and a tear are all nonconformities.

How to use it: The construction of a u-Chart generally follows the following steps:

  1. Collect the samples and record the sample number (i), number of defects (c), and sample size (n)
  2. Calculate u
  3. Calculate centre line
  4. Calculate UCL and LCL
  5. Plot the axis
  6. Check graph for control issues

Please refer to template for further information, the calculations will automatically be calculated in the template.


  Name
Format
Preview (Click to enlarge)
  u Charting Tool Template
Microsoft Excel Format
Microsoft Excel
Format
u Charting Template
  u Charting Tool Graph
Microsoft Excel Format
Microsoft Excel
Format
u Chart Graph
  u Chart Production Template
Adobe PDF Format
Adobe PDF
Format
u Chart Production Template
USD $14.95
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