Process / pipelineEngineering methods
Control Chart — Statistical Process Monitoring with Shewhart Charts
A control chart is a time-series graph with statistically derived upper and lower control limits that separates the natural, random variation of a process (common cause) from unusual, assignable variation (special cause). Invented by Walter Shewhart at Bell Labs in 1924, control charts remain the foundational tool of Statistical Process Control and are used across manufacturing, healthcare, software, and service industries to monitor whether a process remains stable and predictable over time.
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Sources
- Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗
- Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed.). Wiley. ISBN: 978-0470169926
Related methods
Referenced by
Bayesian Control ChartBayesian Process Capability AnalysisBayesian Statistical Process ControlFailure Mode and Effects AnalysisHybrid Control ChartHybrid process capability analysisMulti-response Control ChartMulti-response statistical process controlRisk-based control chartRisk-based statistical process controlRobust Control ChartRobust Process Capability AnalysisRobust Statistical Process ControlSensitivity Analysis with Control ChartSimulation-assisted control chartSimulation-assisted statistical process controlStatistical Process Control