System Dynamics is a computer-aided approach for strategy and policy design that helps people make better decisions when confronted with complex, dynamic systems.
The tools used in System Dynamics are models that represent symbolically the reality of the system.
System dynamics is a simulation modeling language for understanding the behavior of complex dynamic systems.
System dynamics was created during the mid-1950s by Professor Jay W Forrester of the Massachusetts Institute of Technology.
A system in System Dynamics is a grouping of interconnected parts to perform a purpose.
An open system in System Dynamics is characterized by outputs that respond to inputs, but where outputs are isolated from and have no influence over the inputs.
Feedback systems in System Dynamics have a closed-loop structure that brings results from past action of the system back to control future action, making feedback systems influenced by their own past behavior.
System dynamics is a method devoted to the study of systems and is thus a tool within the Systems Thinking tool kit.
System dynamics uses simple graphical notations to model systems: Causal Loop Diagrams and Stock And Flow Diagrams.
A feedback loop in System Dynamics is the part of a system in which some portion (or all) of the system's output is used as input for future operations.
Causal loops diagrams (also known as influence diagrams) are used in System Dynamics to display the behavior of cause and effect from a system’s standpoint.
A causal loop diagram (CLD) in System Dynamics is an illustration that visualizes how variables in a system are causally interrelated.
Reinforcing loops in System Dynamics are where a change in one direction is compounded by more change.
Balancing loops in System Dynamics are where a change in one direction is countered by a change in the opposite direction.
It is a situation to take time before the effect occurs
A reinforcing or amplifying loop is a loop that leads to growth at an ever-increasing rate.
In a reinforcing feedback process, a variable continually feeds back upon itself to reinforce its own growth or collapse.
A balancing or goal-seeking loop is a loop that looks for a goal.
If the actual state of the variable doesn’t reach the goal, the loop structure pushes its value up.
If the variable is above goal, the loop pushes it down.
Balancing loops tend to counteract changes to systems.
Balancing loops seek goals, provide stability and push towards equilibrium.
CLD consists of nodes which represent variables and arrows which represent relationships between variables.
There are several causal loop concepts.
The arrow is used to show causation.
This loop is called a positive feedback loop.
The + sign near the arrowhead signifies that an increase (or decrease) in the first variable leads to an increase (decrease) in the following variable.
Two hash marks on the causal loop represent a delay.
It means that the system moves toward equilibrium.
The symbol R, which is in the middle of a loop, signifies changing direction of the loop.
The item at the tail of the arrow influences the item at the head of the arrow.
This loop continues going in the same direction.
The – sign near the arrowhead signifies that an increase (decreases) in the first variable leads to an decrease(increase) in the following variable.
This loop is called a negative feedback loop.
The symbol B, which is in the middle of a loop, signifies that the loop moves away from equilibrium point.