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| Wykres kontrolny oparty na ryzyku× | Six Sigma DMAIC× | |
|---|---|---|
| Dziedzina≠ | Planowanie eksperymentów | Zarządzanie jakością |
| Rodzina | Process / pipeline | Process / pipeline |
| Rok powstania≠ | 1956 (economic design); refined through 1980s–2000s | 2014 |
| Twórca≠ | A. J. Duncan (economic design, 1956); T. J. Lorenzen & L. C. Vance (unified economic model, 1986) | Motorola; Pyzdek & Keller |
| Typ≠ | Quantitative process monitoring method | Structured process improvement methodology |
| Źródło pierwotne≠ | Lorenzen, T. J., & Vance, L. C. (1986). The economic design of control charts: A unified approach. Technometrics, 28(1), 3–10. DOI ↗ | Pyzdek, T., & Keller, P. (2014). The Six Sigma Handbook (4th ed.). McGraw-Hill. ISBN: 978-0-07-184053-9 |
| Inne nazwy | economic control chart, risk-integrated SPC, cost-based control chart, economic design of control charts | DMAIC Framework, Six Sigma Process Improvement Cycle, Define-Measure-Analyze-Improve-Control, Altı Sigma DMAIC |
| Pokrewne≠ | 6 | 3 |
| Podsumowanie≠ | A risk-based control chart extends the classical Shewhart control chart by explicitly incorporating the costs and probabilities of two error types — false alarms (Type I) and missed shifts (Type II) — along with sampling costs, into the design of chart parameters. Rather than using arbitrary 3-sigma limits, the method selects sample size, sampling interval, and control limits to minimise the total expected cost or risk of operating the monitoring scheme. | Six Sigma DMAIC is a data-driven, five-phase process improvement methodology — Define, Measure, Analyze, Improve, and Control — used to reduce defects and process variation to fewer than 3.4 defects per million opportunities. Originating at Motorola in the 1980s and systematized by practitioners including Pyzdek and Keller, it is widely adopted in manufacturing, healthcare, finance, and service industries seeking sustained quality gains. |
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