Σύγκριση μεθόδων

	Διάγραμμα Ελέγχου	Στατιστικός Έλεγχος Διεργασιών
Πεδίο	Πειραματικός Σχεδιασμός	Πειραματικός Σχεδιασμός
Οικογένεια	Process / pipeline	Process / pipeline
Έτος προέλευσης	1924 (first use); 1931 (seminal book)	1924–1931
Δημιουργός	Walter A. Shewhart (Bell Labs)	Walter A. Shewhart
Τύπος	Statistical monitoring and control technique	Process monitoring and quality control method
Θεμελιώδης πηγή	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
Εναλλακτικές ονομασίες	Shewhart chart, process-behavior chart, SPC chart, quality control chart	SPC, statistical quality control, process control charting, Shewhart control
Συναφείς	6	6
Σύνοψη	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.	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.