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Statistical Process Control (SPC) tool for monitoring process stability. Track data points against calculated control limits.
All calculations are processed locally. Your data never leaves your browser.
Control Charts are the cornerstone of SPC, helping you distinguish between common cause variation and special cause variation. Maintain process stability with real-time monitoring.
Automatically calculate Upper and Lower Control Limits based on your data. Our configurable sigma levels let you adjust sensitivity from 1σ to 3σ for various applications.
Instantly identify out-of-control points that exceed your control limits. Get visual alerts and take corrective action before defects occur.
Create Control Charts for Statistical Process Control (SPC). Developed by Walter Shewhart, Control Charts distinguish common cause from special cause variation. Monitor UCL, LCL, and detect out-of-control points with our free online tool.
Control Charts, developed by Walter Shewhart in the 1920s, are the foundation of Statistical Process Control (SPC). They plot data over time against statistically-derived control limits to detect process instability.
The power of control charts lies in their ability to separate "noise" (common cause variation) from "signals" (special cause variation). This distinction guides when to investigate and when to leave a process alone.
Control limits are typically set at 3σ (sigma) from the center line, capturing 99.7% of expected variation. Points beyond these limits have only a 0.3% chance of occurring naturally, making them statistically significant.
For different applications, you can adjust to tighter limits. Warning zones at 2σ help identify trends before they become out-of-control conditions.
Control Charts work best alongside other quality tools. Use Fishbone Diagrams to investigate root causes of out-of-control points, Histograms to understand your data distribution, and Pareto Charts to prioritize improvement efforts.
Zrubix provides all seven basic quality tools online for free—no software installation required.
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