Módszerek összehasonlítása

	Teljes faktorális kísérleti terv ipari alkalmazásokhoz	Statisztikai folyamatszabályozás
Tudományterület	Kísérlettervezés	Kísérlettervezés
Módszercsalád	Process / pipeline	Process / pipeline
Keletkezés éve	1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–1978	1924–1931
Megalkotó	Ronald A. Fisher	Walter A. Shewhart
Típus	Experimental design / factorial experiment	Process monitoring and quality control method
Alapmű	Montgomery, D. C. (2017). Design and Analysis of Experiments (9th ed.). Wiley. ISBN: 978-1119492443	Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762
Alternatív nevek	industrial FFD, full factorial experiment, complete factorial design, 2^k factorial design	SPC, statistical quality control, process control charting, Shewhart control
Kapcsolódó	3	6
Összefoglaló	Full factorial design (FFD) applied in industrial settings is a structured experimental methodology in which every combination of factor levels is tested, enabling engineers to quantify main effects and all interaction effects among process or product variables. Widely used in manufacturing, chemical processing, materials science, and quality engineering, it provides a complete picture of how input factors jointly influence a response variable such as yield, strength, or defect rate.	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.