SPCCHART procedure
Plots c or u charts representing numbers of defective items (A.F. Kane & R.W. Payne).
Options
Parameters
Description
The c and u charts are used in statistical process control to evaluate testing schemes in which numbers of defects are measured in successive batches of items. The number of defects per batch is specified, in a variate, by the NDEFECTIVE parameter. The NTESTED parameter supplies the number of items in each batch - this can be a scalar if the batches are all of the same size, otherwise it is a variate.
The PLOT option controls the type of chart: the c chart plots number of defects per batch, while the u chart plots the number of defects per item.
The charts contain not only the observed numbers of defects but also a centre line (indicating a target value) and lines showing upper and lower control limits (bounding the zone outside which the process is said to be out of control). The control limits relevant to each batch in a u chart will depend on the batch sizes. The TOLERANCE option determines whether an average sample size is used if the individual sizes are not exactly equal: this will happen unless either
MIN(NTESTED) * TOLERANCE < MEAN(TESTED)
or
MEAN(TESTED) * TOLERANCE < MAX(NTESTED)
The METHOD option specifies how the various lines are to be defined, with the following settings.
For settings of METHOD other than given, the CENTRELINE, LOWERCONTROLLIMIT and UPPERCONTROLLIMIT parameters can be used to save the centre line and limits.
You can set PRINT=warnings to list any batches that are outside the control limits; by default these are suppressed. As usual, the WINDOW option specifies which high-resolution graphics window to use for the plot, and the SCREEN option controls whether or not to clear the graphics screen before plotting.
Options: PRINT, PLOT, METHOD, TOLERANCEMULTIPLIER, WINDOW, SCREEN.
Parameters: NDEFECTIVE, NTESTED, CENTRELINE, LOWERCONTROLLIMIT, UPPERCONTROLLIMIT.
Method
For further information about the standard SPC methods see for example Chapter 5 of Montgomery (1985). Chapter 3 of the Guide to GenStat, Part 2 Statistics gives more details about generalized linear models.
Action with
RESTRICT
Any restrictions are ignored.
Reference
Montgomery, D.C. (1985). Introduction to Statistical Process Control. Wiley, New York.