Statistical Process Control
Control charts
Control charts are the basic tool of statistical process control.
Absolute control over the whole production process is unachievable. Hence, a careful selection of the most relevant variables that characterize the process is required.
Depending on the selected variables, different charts are used:
- Continuous variables - x and R charts: weight, length, process time...
- Discrete variables - p and c charts: number of defective pieces, number of defects per product...
Control charts require sampling from the production process. Samples are grouped and mean values from each group presented in a chart, together with three lines:
- Upper control limit (UCL)
- Central line
- Lower control limit (LCL)
Sampled values above the UCL or below the LCL are indicative of special causes of variation.
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