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| 베이즈 통계적 공정 관리× | 공정능력 분석 (Cp, Cpk)× | |
|---|---|---|
| 분야≠ | 실험설계 | 통계학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1950s (foundations); formalized 1990s–2000s | 1986 |
| 창시자≠ | Various (Girshick & Rubin 1952 early signal detection; Menzefricke 2002 Bayesian control chart framework) | Victor Kane |
| 유형≠ | Bayesian process monitoring technique | Quantitative process evaluation index |
| 원전≠ | Menzefricke, U. (2002). On the evaluation of control chart factors for monitoring the process mean and variance. Journal of Quality Technology, 34(2), 167–178. link ↗ | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| 별칭 | Bayesian SPC, Bayesian process monitoring, B-SPC, Bayesian control charting | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| 관련≠ | 5 | 2 |
| 요약≠ | Bayesian Statistical Process Control (Bayesian SPC) extends classical SPC by replacing fixed, frequentist control limits with a probabilistic framework that incorporates prior knowledge about the process. Rather than waiting for a run of points to exceed a pre-set 3-sigma boundary, Bayesian SPC continuously updates the probability that the process has shifted given the incoming data, enabling earlier and more informed detection of out-of-control states while formally accounting for uncertainty in process parameters. | 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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