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统计过程控制×过程能力分析 (Cp, Cpk)×
领域实验设计统计学
方法族Process / pipelineProcess / pipeline
起源年份1924–19311986
提出者Walter A. ShewhartVictor Kane
类型Process monitoring and quality control methodQuantitative process evaluation index
开创性文献Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗
别名SPC, statistical quality control, process control charting, Shewhart controlProcess Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
相关62
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.Process Capability Analysis quantifies how well a manufacturing or business process produces output within specified tolerance limits. Introduced formally by Victor Kane in 1986, it summarises process spread and centering into dimensionless indices — most notably Cp and Cpk — allowing engineers and quality managers to judge whether a stable process is inherently capable of meeting customer or design specifications consistently.
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ScholarGate方法对比: Statistical Process Control · Process Capability Analysis. 于 2026-06-15 检索自 https://scholargate.app/zh/compare