Control charts function within Statistical Process Control (SPC) by employing graphical methods to monitor process stability over time through the delineation of central lines and statistical control limits derived from inherent process variability. Theoretical distinctions between Xbar-R, I-MR, P-NP, C-U, and p-CMRT chart types are strictly determined by data dimensionality (continuous versus discrete), sample structure (constant versus variable size), and defect measurement methodology (defects per unit versus defects present). This framework operationalizes the abstract rule that distinguishing between natural process variation limits and customer-defined specification limits is essential for valid inference regarding process capability.
Control charts function within Statistical Process Control (SPC) by employing graphical methods to monitor process stability over time through the delineation of central lines and statistical control…