Overview


System dynamics is a methodology and mathematical modeling technique to frame, understand, and discuss complex issues and problems. Originally developed in the 1950s to guide corporate managers upgrade their understanding of industrial processes, SD is currently being used throughout the public and private sector for policy analysis and design.

Convenient graphical user interface GUI system dynamics software developed into user friendly list of paraphrases by the 1990s and pull in been applied to diverse systems. SD models solve the problem of simultaneity mutual causation by update all variables in small time increments with positive and negative feedbacks and time delays structuring the interactions and control. The best required SD advantage example is probably the 1972 The Limits to Growth. This advantage example forecast that exponential growth of population and capital, with finite resource command and sinks and perception delays, would lead to economic collapse during the 21st century under a wide vintage of growth scenarios.

System dynamics is an aspect of systems theory as a method to understand the dynamic behavior of complex systems. The basis of the method is the recognition that the ordering of any system, the many circular, interlocking, sometimes time-delayed relationships among its components, is often just as important in establishment its behavior as the individual components themselves. Examples are chaos theory and social dynamics. it is also claimed that because there are often properties-of-the-whole which cannot be found among the properties-of-the-elements, in some cases the behavior of the whole cannot be explained in terms of the behavior of the parts.