Process / pipeline
System Dynamics — Stock-Flow Modelling
System dynamics is a continuous simulation method, developed by Jay W. Forrester at MIT in 1961, that represents a complex system through stocks (accumulations), flows (rates of change), and feedback loops. By expressing these relationships as coupled ordinary differential equations, it reproduces how policies, delays, and nonlinear feedbacks drive system behaviour over time — making it a cornerstone tool in policy analysis, organisational modelling, and sustainability research.
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Sources
- Sterman, J.D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Irwin McGraw-Hill. ISBN: 978-0072389159
- Forrester, J.W. (1961). Industrial Dynamics. MIT Press. ISBN: 978-0262060035
Related methods
Referenced by
Agent-based microsimulationAgent-Based ModelingAgent-based scenario analysisAgent-based system dynamicsBayesian System DynamicsCellular AutomataDeterministic Cellular AutomataDeterministic MicrosimulationDeterministic Scenario AnalysisDeterministic System DynamicsDigital Twin SimulationDiscrete-Event SimulationDiscrete-Event System SimulationFuzzy Cognitive MapsMicrosimulationMulti-objective cellular automataMulti-objective system dynamicsPolicy Scenario Agent-Based ModelingPolicy Scenario AnalysisPolicy Scenario Cellular AutomataPolicy Scenario Discrete-Event SimulationPolicy Scenario System DynamicsQueueing SimulationStochastic System DynamicsUncertainty Quantification