๐ Process Control
SPC Control Chart Generator
Monitor process stability using an Individuals (I-Chart) control chart. Automatically calculate control limits (UCL/LCL), warning limits, and flag out-of-control signals using standard Nelson Rules.
Process Data
Paste your time-ordered series data points here. Minimum 10 points recommended.
Calculated Parameters:
โข Mean ($\bar{X}$) of data series.
โข Standard Deviation ($\sigma$) estimated from data.
โข UCL / LCL = $\bar{X} \pm 3\sigma$ (Action Limits)
โข UWL / LWL = $\bar{X} \pm 2\sigma$ (Warning Limits)
โข Mean ($\bar{X}$) of data series.
โข Standard Deviation ($\sigma$) estimated from data.
โข UCL / LCL = $\bar{X} \pm 3\sigma$ (Action Limits)
โข UWL / LWL = $\bar{X} \pm 2\sigma$ (Warning Limits)
Control Chart & Limits
Enter raw process values and click calculate to plot chart.
Regulatory Context (ICH Q10 / ISO 7870):
Statistical Process Control is a critical element of the Pharmaceutical Quality System (PQS) under ICH Q10. The FDA's 2011 Process Validation Guidance highlights the use of SPC to measure and maintain process control. Control Limits reflect process variation ($\pm 3\sigma$) and must not be confused with Specification Limits (USL/LSL), which reflect product design criteria.
Statistical Process Control is a critical element of the Pharmaceutical Quality System (PQS) under ICH Q10. The FDA's 2011 Process Validation Guidance highlights the use of SPC to measure and maintain process control. Control Limits reflect process variation ($\pm 3\sigma$) and must not be confused with Specification Limits (USL/LSL), which reflect product design criteria.