Real-time SPC
Hertzler Systems' manufacturing SPC suite for shop-floor data collection, alarms and quality dashboards.
- SPC
- Real-time monitoring
- OEE
- Pricing
- Published pricing
- Deployment
- Self-hosted, Desktop
SPC software, or statistical process control software, collects measurements from gauges and operators and plots them on control charts as the process runs. When a point breaks a run rule, it alerts the operator and records the reaction, which is hard to do with paper charts and spreadsheets across many lines.
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Real-time SPC
Hertzler Systems' manufacturing SPC suite for shop-floor data collection, alarms and quality dashboards.
Enterprise SPC
Enterprise SPC platform (ProFicient on-prem, Enact cloud) for real-time quality data collection and control charting.
Real-time SPC
DataNet Quality Systems' real-time SPC software that collects gauge data and raises alarms on out-of-control processes.
The basics
SPC software collects measurements, plots them on control charts and flags signals that a process has changed. Many tools also calculate capability indices.
A control chart separates normal variation from special causes. The NIST/SEMATECH e-Handbook explains the chart types and rules.
SPC links to lean through jidoka: a signal should trigger a defined reaction, so problems are fixed before defects pile up.
Paper charts at the machine still work for a few characteristics. They keep operators close to the data.
Software helps when you measure many characteristics, collect from gauges directly, or need alerts and records across lines. Check the measurement system before you chart anything.
The routine it supports
How the listed tools are priced
Spreadsheets and desktop statistics packages can draw control charts from data collected earlier. They suit capability studies, one-off analyses and small volumes of data. For a quick check, the free control chart calculator draws an individuals chart from pasted readings.
Real-time SPC charts each reading as it is taken, at the station, and alerts the operator while the parts are still being made. It also keeps an audit trail of readings, signals and reactions, which spreadsheets do not do well.
Many quality teams use both: real-time SPC on the floor, and a statistics package for deeper analysis in Six Sigma software.
The most reliable data comes straight from the source: digital gauges, measuring machines or machine controls. Manual entry still has a place, but it needs input checks and should be quick for the operator.
Each reading should carry its context: part, lot, machine, operator and time. That context is what lets you trace a signal back to a cause.
Check the measurement system before charting. If the gauge varies as much as the process, the chart shows gauge noise rather than process changes.
A control chart only helps if a signal leads to a defined response. A reaction plan, sometimes called an out-of-control action plan, lists what to check and who to call for each type of signal.
Good SPC software shows the reaction plan with the alert and asks for the cause and action before the operator continues. Over time those records show which causes recur. The statistical process control page covers the method.
Buying guide
Who it's for: Quality engineers, process engineers and operators in machining, molding, filling and chemical processing. It suits any process where a measured characteristic can drift between inspections.
Data capture at the source
Direct input from gauges, machines or a simple operator screen. Retyping readings later adds delay and errors.
Run rules with clear alerts
Configurable out-of-control rules that alert the operator in real time, with a required reaction note for each signal.
The right chart for the data
Support for variables and attribute charts, short-run charts and subgroups, so you are not forcing every process onto one chart type.
Capability on demand
Cp, Cpk, Pp and Ppk calculated from the chosen data range, with a warning when the process is not stable enough to trust them.
Before you choose
FAQ
Sources
Written by the lean-stack editors following our methodology. Updated October 3, 2026.
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