Control Chart & SPC
Plot process data in time order, calculate control limits and distinguish common-cause variation from signals that require investigation.
Plot process data in time order, calculate control limits and distinguish common-cause variation from signals that require investigation.
Assess process stability over time with control limits and statistical process-control signals.
Use SPC for repeated measurements where common-cause variation must be separated from special causes.
Control limits are estimated from process behaviour, whereas specification limits come from requirements. A process can be stable but incapable, or unstable while still producing conforming parts.
Plot process data in time order, calculate control limits and distinguish common-cause variation from signals that require investigation.
Confirm the measurement and rational subgroup plan
Plot data in production order
Calculate limits from a representative stable period
Investigate special-cause signals without tampering
Recalculate limits only after a sustained process change
All dimensions are within tolerance, but eight consecutive points rise. The chart identifies tool wear early enough to schedule correction before defects occur.
Using specification limits as control limits
Recalculating limits after every unusual point
Reacting to every common-cause fluctuation
Mixing different products or conditions without stratification
Prepare time-ordered data, sampling plan, subgroup definition and optional specification limits.
The module produces control chart, centre line, control limits and rule-based signals.
No. Treat the output as a structured engineering and improvement aid. Verify source data, assumptions, safety, quality, legal requirements and local process conditions with competent responsible people before implementation.
Control Chart & SPC
Plot process data in time order, calculate control limits and distinguish common-cause variation from signals that require investigation.