Model the spread of an influenza virus in a population with components from the SystemDynamics library.

Explore the oscillations of the snowshoe hare and the lynx using components created in the Wolfram Language.

Incorporate real data from the international fuel market and regional demand into this model of a 5.6 GW electricity producing plant.

The world model is one of the most famous applications of the system dynamics methodology.

Business process modeling (BPM) has become a ubiquitous activity in support of management decision making and business analytics. This example looks at a production chain for a company producing a durable good (e.g. intruder alarm systems).

Recruitment and training of new employees need to be carefully planned to prevent shortages or surpluses. Using this example, a human resource manager or decision maker can vary the control parameters that relate to aspects of the human resource planning (HRP) process to test different HRP strategies.

The SIR or Kermack–McKendrick model is a classical approach in mathematical epidemiology to study the spread of infectious diseases. Here, you can explore how parameters like the effective contact rate affect social diffusion.

This model explores a typical predator/prey system based on Lotka–Volterra dynamics. This relatively simple system is a good way to get started with understanding population dynamics.

Have you ever tried to understand the structure of a problem using qualitative models? Using causal loop diagrams, you can quickly create such models that are easy to understand. This example shows a causal loop model for the world dynamics in order to understand how a campaign can reduce the environmental load.