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통계적 공정 관리×공정능력 분석 (Cp, Cpk)×
분야실험설계통계학
계열Process / pipelineProcess / pipeline
기원 연도1924–19311986
창시자Walter A. ShewhartVictor Kane
유형Process monitoring and quality control methodQuantitative process evaluation index
원전Shewhart, 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 ↗
별칭SPC, statistical quality control, process control charting, Shewhart controlProcess Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis
관련62
요약Statistical 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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