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Structural Analysis of System Dynamics Models
System dynamics (SD) is an established discipline to model and simulate complex dynamic systems. The primary goal of SD is to evaluate and design new policies that can impact the system under study in a desired way. Policy design, that is, identifying effective model levers, however, is a challenge and in many cases trial-and-error driven. In this article, we introduce a new and coherent framework for model analysis, called structural analysis methods (SAM), to facilitate the policy designdoi:10.24451/arbor.15837 fatcat:qyjpo4hbergwtoiv6rr47wf24y