Meaning
Statistical metrics measure the amount of variation or dispersion in a set of numerical data points. Calculated across a production run, the standard deviation of part weights or cycle times indicates the consistency of the moulding process. A low value confirms that the process is stable and the machine is running repeatably.
Statistical Control
Lowering variability across a run requires analyzing the individual contributions of material consistency, machine wear, and operator adjustments. The standard deviation provides a mathematical value that is used to set upper and lower control limits on the press controller. If a critical process variable drifts beyond these statistical boundaries, the system flags the issue for operator intervention.
Process Performance
Comparing the spread of data to the allowable tolerances of the part print yields the capability index of the production line. A low standard deviation is necessary to achieve a high capability index, meaning the natural variation of the process fits comfortably within the customer’s limits. This metric is especially important when moulding thin walls where even a minor shift in material distribution leads to cosmetic failure or structural weakness.
Scrap Reduction
High variability in part weight often points to inconsistency in the melt temperature or non-return valve leakage during the holding phase. Tracking standard deviation helps a moulder trace these errors to their source, whether it is an unstable regrind ratio or a worn screw tip. By identifying and correcting the root cause of high variability, the plant lowers its scrap rate and improves its overall equipment effectiveness.