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Analiza scenarija i simulacija "što ako"×Simulacija Monte Carlo×
PodručjeSimulacijaDonošenje odluka
ObiteljProcess / pipelineMCDM
Godina nastanka1950s (origins); widely adopted in management since 1970s1949
TvoracPeter Schwartz (scenario planning formalization), Herman Kahn (RAND Corporation, 1950s–60s)Metropolis, N., Ulam, S.
VrstaStructured analytical approach / simulationRobustness wrapper — Monte Carlo uncertainty propagation
Temeljni izvorGoodwin, P. & Wright, G. (2014). Decision Analysis for Management Judgment (5th ed.). Wiley. ISBN: 978-1118173671Metropolis, N., Ulam, S. (1949). The Monte Carlo method. Journal of the American Statistical Association DOI ↗
Drugi naziviwhat-if analysis, what-if simulation, stress testing, scenario planning
Srodne30
SažetakScenario analysis is a structured analytical approach that systematically compares system outputs across different combinations of uncertain input values. When paired with a quantitative model, it becomes a simulation — capable of stress-testing assumptions and projecting the range of plausible outcomes. Formalised in strategic planning by Peter Schwartz and Herman Kahn from the 1950s onward, the method is widely used in policy evaluation, business forecasting, financial risk assessment, and scientific model exploration.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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ScholarGateUsporedite metode: Scenario Analysis · MONTE-CARLO-SIMULATION. Preuzeto 2026-06-17 s https://scholargate.app/hr/compare