Accurate expression of the problem (determining the boundary of the system, determining the time horizon, key variables and concepts, and the behavior of variables in the past)

Formulation of dynamic hypothesis (initial hypothesis for model behavior, focus on endogenous factors and drawing causal and impaired relationships)

Creating a simulated model (determining decision rules, estimating initial values)

Model testing (validation and validation, evaluation of model behavior under limit conditions)

Designing policies and evaluating them (investigating the interaction between policies, sensitivity analysis)