Explain The Differences Between Static And Dynamic Models.

DSS Model

Static Model: A static model takes a single snapshot of a situation. During this snapshot, everything occurs in a single interval, they do not change over time. For example, a decision about whether to make or buy a product is static in nature.

Dynamic Model: Dynamic models represent scenarios that change over time. For example, 5-years profit-and-loss projections in which the input data (costs, prices, and quantities) change from year to year. Dynamic models are time dependent. Dynamic models use, represent, or generate trends and patters over time, show averages per periods, moving averages, and comparative analyses. When a static model is constructed to describe a given situation, it can be expanded to represent the dynamic nature of the problem.