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In this video, you will understand the key difference between the different Attribute Control Chart (p, np, c, u).
In the statistical studies, Walter Shewhart and W Edward Deming have done tremendous work to understand the variation in the process and its causes through statistical studies. The understanding of these variations is important to improve quality, increase productivity and reduce cost (QCD).
There are different types of attribute control charts that are plotted based on the type of data and criticality of the problem (p, np, c, u). By understanding these charts and taking suitable actions, the process can be brought under statistical control.
- p, np: Number of defective items
- c, u: Number of defects/unit
#spc
#attribute control charts
#variable control charts
