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Process control charts tutorial

Learn how to apply process control charts to identify special-cause variation and improve processes.

To illustrate the concepts, we will use data on the copper concentration in a plating process. Copper concentration in a plating pool is controlled by an automated colorimeter that takes readings and adjusts the concentration as required. To verify the correct functioning of a new colorimeter system, copper concentration is measured manually six times per shift. Six operators regularly perform the shifts.

In this tutorial you will perform the following tasks:

  1. Bringing a process under control
  2. Identifying stratification
  3. Identifying special-causes of variation
  4. Identifying shifts (and other patterns)
  5. Revising control limits
  6. Monitoring future production

  •  Tutorials
  •  Distribution tutorial
  •  Correlation / PCA tutorial
  •  Compare groups means tutorial
  •  Association in 2-way contingency tables tutorial
  •  Simple linear regression tutorial
  •  Bland-Altman method comparison tutorial
  •  Estimating the precision of a measurement procedure (CLSI EP05-A3)
  •  Evaluating the linearity of a measurement procedure (CLSI EP06-A)
  •  Verifying the precision of a measurement procedure against a performance claim and estimating the bias (CLSI EP15-A3)
  •  Pareto charts tutorial
  •  Process control charts tutorial
  •  Bringing a process under control
  •  Identifying stratification
  •  Identifying special-causes of variation
  •  Identifying shifts (and other patterns)
  •  Revising control limits
  •  Monitoring future production
  •  Process capability tutorial



Version 6.15
Published 18-Apr-2023
statistics software, statistical software for Excel
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