مقایسهٔ روشها
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| کاربردهای صنعتی طرح عاملی کامل× | کنترل فرآیند آماری× | |
|---|---|---|
| حوزه | طراحی آزمایش | طراحی آزمایش |
| خانواده | Process / pipeline | Process / pipeline |
| سال پیدایش≠ | 1926 (foundational); industrially systematized by Box, Hunter & Hunter ~1950s–1978 | 1924–1931 |
| پدیدآور≠ | Ronald A. Fisher | Walter A. Shewhart |
| نوع≠ | Experimental design / factorial experiment | Process monitoring and quality control method |
| منبع بنیادین≠ | 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 |
| نامهای دیگر | industrial FFD, full factorial experiment, complete factorial design, 2^k factorial design | SPC, statistical quality control, process control charting, Shewhart control |
| مرتبط≠ | 3 | 6 |
| خلاصه≠ | 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. |
| ScholarGateمجموعهداده ↗ |
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