Porovnat metody
Prohlédněte si vybrané metody vedle sebe; řádky, které se liší, jsou zvýrazněny.
| Řízení pomocí simulace× | Simulace Monte Carlo× | |
|---|---|---|
| Obor≠ | Plánování experimentů | Rozhodování |
| Rodina≠ | Process / pipeline | MCDM |
| Rok vzniku≠ | 1920s (control charts); simulation integration from 1980s–1990s | 1949 |
| Tvůrce≠ | Walter A. Shewhart (control charts); simulation integration developed through work of W.H. Woodall, D.C. Montgomery and collaborators | Metropolis, N., Ulam, S. |
| Typ≠ | Hybrid quality monitoring method | Robustness wrapper — Monte Carlo uncertainty propagation |
| Původní zdroj≠ | Woodall, W. H., & Montgomery, D. C. (1999). Research issues and ideas in statistical process control. Journal of Quality Technology, 31(4), 376–386. DOI ↗ | Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗ |
| Další názvy≠ | simulation-based SPC, Monte Carlo control chart design, simulation-enhanced SPC, virtual control chart | — |
| Příbuzné≠ | 6 | 0 |
| Shrnutí≠ | Simulation-assisted control chart integrates Monte Carlo or discrete-event simulation with traditional Shewhart-type control charting to design, validate, and optimize chart parameters before deployment on a real process. Rather than relying solely on assumed distributional forms, the practitioner builds a simulation model of the process, generates virtual data under in-control and out-of-control scenarios, and uses these runs to calibrate control limits, estimate average run length (ARL), and stress-test chart sensitivity — all without interrupting production. | MONTE-CARLO-SIMULATION (Monte Carlo Simulation — Stochastic uncertainty propagation through MCDM model) is a ranking multi-criteria decision-making (MCDM) method introduced by Metropolis, N., Ulam, S. in 1949. It turns a decision matrix of alternatives scored on multiple criteria into a structured, reproducible result. |
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