Quality Control Charts: c-chart and u-chart
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Creating Quality Control Charts using qcc package
Oct 12 ·3min read
Quality Control Charts
Quality control charts represent a great tool for engineers to monitor if a process is under statistical control . They help visualize variation, find and correct problems when they occur, predict expected ranges of outcomes and analyze patterns of process variation from special or common causes. Quality control charts are often used in Lean Six Sigma projects and DMAIC projects under the control phase and are considered as one of the seven basic quality tools for process improvement.
However, how can we determine the right quality control chart to use for monitoring a process? The following decision tree can be used to identify which is the correct quality control chart to use based on the given data:
For the following examples, we will be focusing on quality control charts for discrete data that consider multiple defects per unit, for when the sample size is constant and for when it is not.
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