Process / pipelineEngineering methods
Statistical Process Control — SPC
Statistical Process Control (SPC) is a data-driven quality method that uses statistical techniques — primarily control charts — to monitor a manufacturing or service process over time. By distinguishing natural process variation (common cause) from unusual, actionable variation (special cause), SPC enables practitioners to maintain processes in a stable, predictable state and to detect problems early, before defective output reaches customers.
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Sources
- Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
- Montgomery, D. C. (2020). Introduction to Statistical Quality Control (8th ed.). Wiley. ISBN: 978-1119657118
Related methods
Referenced by
Bayesian Control ChartBayesian failure mode and effects analysisBayesian Process Capability AnalysisBayesian Six Sigma DMAICBayesian Statistical Process ControlControl chartFailure Mode and Effects AnalysisHybrid Control ChartHybrid process capability analysisHybrid Six Sigma DMAICHybrid Statistical Process ControlIndustrial applications full factorial designMulti-response Control ChartMulti-response Event Tree AnalysisMulti-response failure mode and effects analysisMulti-response Process Capability AnalysisMulti-response Root Cause AnalysisMulti-response Six Sigma DMAICMulti-response statistical process controlOptimization-assisted failure mode and effects analysisOptimization-assisted process capability analysisOptimization-assisted Six Sigma DMAICQuality Function DeploymentRisk-based control chartRisk-based failure mode and effects analysisRisk-based fault tree analysisRisk-based Process Capability AnalysisRisk-based quality function deploymentRisk-based reliability analysisRisk-based Root Cause AnalysisRisk-based Six Sigma DMAICRisk-based statistical process controlRobust Control ChartRobust Failure Mode and Effects AnalysisRobust Fault Tree AnalysisRobust Process Capability AnalysisRobust Six Sigma DMAICRobust Statistical Process ControlSensitivity Analysis with Control ChartSensitivity analysis with failure mode and effects analysisSensitivity Analysis with Process Capability AnalysisSensitivity Analysis with Six Sigma DMAICSimulation-assisted control chartSimulation-assisted process capability analysisSimulation-assisted root cause analysisSimulation-assisted Six Sigma DMAICSimulation-assisted statistical process control