Budget Models

These models and simulations have been tagged “Budget”.

A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.    Inherent in the diagram is a representation of two well-known system dynamics a
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.    Inherent in the diagram is a representation of two well-known system dynamics a
A causal loop diagram illustrating a subset of variables influencing business problems related to the transitioning of the Social Assistance Management System (SAMS) from initial production deployment to steady state.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
A causal loop diagram illustrating a subset of variables influencing business problems related to transitioning and stabilization of MVS.    Inherent in the diagram is a representation of a well-known system dynamics archetype:  shifting the burden , represented in the interplay between the B1, B2,
A causal loop diagram illustrating a subset of variables influencing business problems related to transitioning and stabilization of MVS.

Inherent in the diagram is a representation of a well-known system dynamics archetype: shifting the burden, represented in the interplay between the B1, B2, and R3 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
This is a simple simulation, depicting the potential growth of a one-time deposit of $5,000, with an 8% interest rate.
This is a simple simulation, depicting the potential growth of a one-time deposit of $5,000, with an 8% interest rate.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
A causal loop diagram illustrating a subset of variables influencing education problems related to trying to increase workshop engagement.    Inherent in the diagram is a representation of two well-known system dynamics archetypes:        Shifting the Burden , represented in the interplay between th
A causal loop diagram illustrating a subset of variables influencing education problems related to trying to increase workshop engagement.

Inherent in the diagram is a representation of two well-known system dynamics archetypes:

  • Shifting the Burden, represented in the interplay between the B1, B2, and R3 loops, and
  • Limits to Success, represented in the interplay between the B1 and R5 loops.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
Causal loop diagram illustrating a variety of feedback loops influencing the price of oil.
  Exploration of Funding Distribution within Bourke, NSW       This Insight provides a vision of the current crime rate of Bourke and the impact that increases in funding in both community involvement and policing will have. It models this data across 24 months.        Stocks:         General Popula
Exploration of Funding Distribution within Bourke, NSW

This Insight provides a vision of the current crime rate of Bourke and the impact that increases in funding in both community involvement and policing will have. It models this data across 24 months.

Stocks:

General Population of Bourke
This is the general population of Bourke, set by default at the current population of 3000.

Criminals
These are citizens that have been turned to crime due to a lack of community programs and police presence.

Incarcerated Criminals
When a criminal is found to be guilty they are placed in jail for a duration of time before being returned to the general population.

Community Involvement Program Participants
These are members of the public who are engaged with community programs.

Variables:

Size of Police Force
The number of police force members present in Bourke. The value is between 0-1 and represents no funding against full funding.

Funding for Community Programs
This represents the amount of funding committed to community programs. The value is set between 0-1 and represents no funding against full funding.


Description and Assumptions:

This model assumes that even with complete police funding there will never be a complete eradication of crime within Bourke.

Based on statistics gathered from this document:
http://www.aic.gov.au/media_library/publications/tandi_pdf/tandi020.pdf
​Most crimes tend to carry with them a jail time of a year or less. As such, this model averages the amount of time spent incarcerated is 9 months.

This model assumes that the funding for these services will remain consistent across the entire period of time.

The model assumes that community programs will likely last 12 months.

Notable Data Points

As can be seen in the model, an increase in police funding causes an increase in criminals. There is a critical point where an increase in police presence leads to higher incarceration. Prior to this point, there is more crime, but fewer arrests.

An increase in social programs decreases crime overall.
Rich picture på vaktmästarverksamheten för projektledningsfallet på SYSA12​.
Rich picture på vaktmästarverksamheten för projektledningsfallet på SYSA12​.