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| Statistische Prozesslenkung (SPC)× | Prozessfähigkeitsanalyse (Cp, Cpk)× | |
|---|---|---|
| Fachgebiet≠ | Versuchsplanung | Statistik |
| Familie | Process / pipeline | Process / pipeline |
| Entstehungsjahr≠ | 1924–1931 | 1986 |
| Urheber≠ | Walter A. Shewhart | Victor Kane |
| Typ≠ | Process monitoring and quality control method | Quantitative process evaluation index |
| Wegweisende Quelle≠ | Shewhart, W. A. (1931). Economic Control of Quality of Manufactured Product. Van Nostrand. ISBN: 978-0873890762 | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| Aliasnamen | SPC, statistical quality control, process control charting, Shewhart control | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| Verwandt≠ | 6 | 2 |
| Zusammenfassung≠ | 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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