Statistical Process Control (SPC)
SPC keeps processes stable by distinguishing between common-cause and special-cause variation.
Metrics like process capability indices summarize how well a process fits within specification limits.
Setting up SPC
Teams choose the right chart type—X-bar, R, p-chart, or c-chart—based on the data and sampling strategy.
They calculate control limits from historical data and update them when processes change materially.
Responding to signals
Rules such as Western Electric or Nelson criteria help identify unusual patterns that warrant investigation.
Real-time alerts keep IPQC teams from shipping product when variation spikes.
SPC within KaizenQ
KaizenQ charts inspection data automatically and highlights trends across shifts, lines, or suppliers.
Integration with alerting tools notifies stakeholders when control limits are breached.
- SPC distinguishes normal variation from signals that need action.
- Control limits and rules guide timely response.
- KaizenQ visualises SPC data and automates notifications.