Compară metode
Examinează metodele selectate una lângă alta; rândurile care diferă sunt evidențiate.
| Dinamica Sistemelor pe Scenarii de Politici× | Dinamica Sistemelor Multi-Obiectiv× | |
|---|---|---|
| Domeniu | Simulare | Simulare |
| Familie | Process / pipeline | Process / pipeline |
| Anul apariției≠ | 1960s–1990s | 1961 (SD); multi-objective extensions from 1990s onward |
| Autorul original≠ | Forrester, J. W. (system dynamics); scenario integration formalized by Sterman and others | Forrester, J. W. (System Dynamics); multi-objective extension by various authors |
| Tip≠ | Simulation-based policy analysis | Simulation / optimization hybrid |
| Sursa seminală | Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 9780072389159 | Sterman, J. D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. McGraw-Hill. ISBN: 978-0-07-231135-8 |
| Denumiri alternative | PSSD, Policy SD Simulation, Scenario-Based System Dynamics, Policy Systems Modeling | MOSD, Multi-criteria SD, Multi-objective SD modeling, System dynamics with multiple objectives |
| Înrudite≠ | 5 | 4 |
| Rezumat≠ | Policy Scenario System Dynamics combines system dynamics modeling with structured scenario analysis to evaluate how different policy interventions affect complex, feedback-driven systems over time. By running multiple policy scenarios through a calibrated stock-and-flow model, analysts can compare long-run outcomes, identify leverage points, and anticipate unintended consequences before real-world implementation. | Multi-Objective System Dynamics (MOSD) couples the feedback-loop simulation power of System Dynamics with explicit multi-criteria optimization, enabling analysts to explore how a dynamic system can simultaneously satisfy competing policy goals — such as cost minimization, environmental sustainability, and social equity — over time. |
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