Statistical Process Control Routine
The measurement is entered once and the chart draws itself. Trend rules fire an alert before the part goes out of specification — and the engineer spends time analyzing, not building charts.
I want SPC without spreadsheets- 01Cp / Cpk per characteristic
- 02Trend alerts handled
- 03Scrap and rework by cause
Every indicator comes from the record made at the workstation — no manual consolidation, no intermediate spreadsheet.
- Measurement plan per critical characteristic
- Control charts generated in real time
- Alerts on trend rules and out-of-control points
- Capability by product, machine and period
- Operator — measures at the defined frequency
- Quality technician — handles the alert
- Process engineering — analyzes capability
Real screens of the routine in operation
Screenshots from the PMQ+ environment with demo data. Click to enlarge.
Monitored controls by product — filling temperature, net weight, viscosity — with active alerts and critical controls highlighted.
Subgroup mean and range with UCL, CL and LCL calculated at measurement. Tabs for samples, capability, alerts, boxplot, Pareto, comparison, MSA/R&R and AI analysis.
Cp, Cpk, Ppk, % out, sigma and normality test (Anderson-Darling), with a histogram over the normal curve and one-click AI analysis.
Filter by period, process, line and shift. Each point with batch, operator, limits, deviation and direction — exportable to PDF, Excel and CSV.
Out-of-control subgroups, average Cpk, controls with Cpk below 1 and open corrective actions; Cpk per control with traffic-light coloring.
How many hours a month does your team spend building charts?
Bring one critical characteristic. We model its chart and alert rule in PMQ+.