方法对比
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| 统计过程控制× | 控制图× | |
|---|---|---|
| 领域 | 实验设计 | 实验设计 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1924–1931 | 1924 (first use); 1931 (seminal book) |
| 提出者≠ | Walter A. Shewhart | Walter A. Shewhart (Bell Labs) |
| 类型≠ | Process monitoring and quality control method | Statistical monitoring and control technique |
| 开创性文献 | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762 | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. link ↗ |
| 别名 | SPC, statistical quality control, process control charting, Shewhart control | Shewhart chart, process-behavior chart, SPC chart, quality control chart |
| 相关 | 6 | 6 |
| 摘要≠ | 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. | 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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