Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Статистический контроль процессов с помощью имитационного моделирования× | Анализ возможностей процесса (Cp, Cpk)× | |
|---|---|---|
| Область≠ | Планирование эксперимента | Статистика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1980s–present | 1986 |
| Автор метода≠ | Walter A. Shewhart (SPC foundations); simulation integration developed through industrial engineering literature from the 1980s onward | Victor Kane |
| Тип≠ | Hybrid quantitative method | Quantitative process evaluation index |
| Основополагающий источник≠ | Montgomery, D. C. (2009). Introduction to Statistical Quality Control (6th ed.). Wiley. ISBN: 978-0470169926 | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| Другие названия | Simulation-based SPC, Monte Carlo SPC, SA-SPC, Simulation-integrated SPC | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| Связанные≠ | 6 | 2 |
| Сводка≠ | Simulation-assisted statistical process control (SA-SPC) combines computer simulation — typically Monte Carlo or discrete-event simulation — with classical SPC methods to design, test, and calibrate control charts and monitoring schemes before or alongside deployment on a real production process. Rather than relying solely on closed-form analytical assumptions, SA-SPC uses simulated data to evaluate chart performance under realistic, often non-normal process conditions. | 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. |
| ScholarGateНабор данных ↗ |
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