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System Dynamics is a model-based method for analyzing complex feedback processes in socio-technical systems. It visualizes stocks, flows and feedback loops to understand root causes of delays and nonlinear behavior.
System Dynamics Modeling is a structured approach for modeling stocks, flows and feedbacks in complex systems. It supports scenario analysis, policy testing and strategic decision-making by simulating and visualizing cause–effect chains. Typical applications include corporate strategy, supply chain and product dynamics.
Measure of deviation between simulated and historical time series.
Quantifies how strongly outputs respond to parameter changes.
Share of scenarios that meet target goals across plausible parameter ranges.
Classic example demonstrating feedback and delays in macroeconomic systems.
Simulation of market dynamics of multiple products to plan launch and retirement cycles.
Model to analyze inventory control, delivery delays and response strategies under demand variability.
Identify stakeholders and formulate target questions.
Create causal diagrams and document assumptions.
Define mathematical flows and parameters.
Implement the model and calibrate with historical data.
Simulate, validate and communicate scenarios.