Сравнение методов
Просматривайте выбранные методы рядом; строки с различиями подсвечены.
| Анализ производственной способности с помощью оптимизации× | Анализ возможностей процесса (Cp, Cpk)× | |
|---|---|---|
| Область≠ | Планирование эксперимента | Статистика |
| Семейство | Process / pipeline | Process / pipeline |
| Год появления≠ | 1986–2000s | 1986 |
| Автор метода≠ | V. E. Kane (capability indices, 1986); integrated with optimization frameworks by quality engineering researchers in the 1990s–2000s | Victor Kane |
| Тип≠ | Quantitative engineering method | Quantitative process evaluation index |
| Основополагающий источник | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ | Kane, V. E. (1986). Process capability indices. Journal of Quality Technology, 18(1), 41–52. DOI ↗ |
| Другие названия | OA-PCA, optimization-integrated capability analysis, capability-constrained process optimization, process capability with optimization | Process Capability Indices, Capability Study, Süreç Yeterlilik Analizi, Process Performance Analysis |
| Связанные≠ | 5 | 2 |
| Сводка≠ | Optimization-assisted process capability analysis combines classical capability indices (Cp, Cpk, Cpm) with mathematical optimization to identify process parameter settings that simultaneously satisfy engineering specifications and maximize process capability. Rather than simply measuring whether a process is capable, it prescribes the control factor levels — mean, variance, tolerances — that push capability above a target threshold. It is widely applied in manufacturing, chemical processing, and quality engineering contexts where multiple process variables must be tuned jointly. | 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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