विधियों की तुलना करें

	अनुकूलन-सहायता प्राप्त प्रक्रिया क्षमता विश्लेषण	सांख्यिकीय प्रक्रिया नियंत्रण
क्षेत्र	प्रयोगात्मक अभिकल्प	प्रयोगात्मक अभिकल्प
परिवार	Process / pipeline	Process / pipeline
उद्भव वर्ष	1986–2000s	1924–1931
प्रवर्तक	V. E. Kane (capability indices, 1986); integrated with optimization frameworks by quality engineering researchers in the 1990s–2000s	Walter A. Shewhart
प्रकार	Quantitative engineering method	Process monitoring and quality control method
मौलिक स्रोत	Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52.	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
उपनाम	OA-PCA, optimization-integrated capability analysis, capability-constrained process optimization, process capability with optimization	SPC, statistical quality control, process control charting, Shewhart control
संबंधित	5	6
सारांश	Optimization-assisted process capability analysis combines classical capability indices (Cp, Cpk, Cpm) with mathematical optimization to identify process parameter settings that simultaneously satisfy engineering specifications and maximize process capability. Rather than simply measuring whether a process is capable, it prescribes the control factor levels — mean, variance, tolerances — that push capability above a target threshold. It is widely applied in manufacturing, chemical processing, and quality engineering contexts where multiple process variables must be tuned jointly.	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.