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Explore powerful simulation algorithms for System Dynamics and Agent Based Modeling. Use System Dynamics to gain insights into your system and Agent Based Modeling to dig into the details. Types of Modeling

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Explore What Others Are Building

Here is a sample of public Insights made by Insight Maker users. This list is auto-generated and updated daily.

This is a food chain of BIOTIC factors. They are animals or plants that have been alive or are alive. Dead rodents or bacteria are both biotic factors. Food webs are 100% consisted of biotic factors.
FOOD WEB
This is a food chain of BIOTIC factors. They are animals or plants that have been alive or are alive. Dead rodents or bacteria are both biotic factors. Food webs are 100% consisted of biotic factors.
Mountain Food Web
Ben Janke
4
World4 is a predictive model for world population. Population has grown hyper-exponentially in the last millenium, with the doubling time decreasing from 900 years  in 1000 CE to a minimum of ~35 years in 1963 CE. Technology is defined as that which decreases the death rate and/or increases the effe
Environment Population Technology Demographics Limits To Growth
World4 is a predictive model for world population. Population has grown hyper-exponentially in the last millenium, with the doubling time decreasing from 900 years  in 1000 CE to a minimum of ~35 years in 1963 CE. Technology is defined as that which decreases the death rate and/or increases the effective birth rate (i.e. by decreasing infant mortality). Technology grows exponentially, therefore population fits a hyper-exponential (exponent within an exponent). Models for the end of growth are explored using equations that express the ways humans are depleting Earth's biocapacity, the nature of resource depletion, and the relationship between natural resources and human carrying capacity. This simple model, containing just two closed systems, captures the subtle shifts in the population trajectory of the last 50 years. Specifically, hyperexponential growth has given way to subexponential growth. A peak is predicted for the time around 2028.  [Bystroff, C. (2021). Footprints to singularity: A global population model explains late 20th century slow-down and predicts peak within ten years. PloS one, 16(5), e0247214.]
World4.5
Christopher Bystroff
22 16 hours ago
An overview of modelling human behaviour using data and theory driven methods based on Kurt Kreuger's PhD thesis and workshops
Methods Behavior Multiscale Public Health COM-B kurtk
An overview of modelling human behaviour using data and theory driven methods based on Kurt Kreuger's PhD thesis and workshops
Modelling human behaviour kurt kreuger
Geoff McDonnell
last week
This is a systems dynamics model of a corn farm system with the focus on maximizing profit with considerations toward human centered design and environmental impact. 
This is a systems dynamics model of a corn farm system with the focus on maximizing profit with considerations toward human centered design and environmental impact. 
Corn Farm (without Environment) Stock & Flow Diagram
Kevin Chacko
5 days ago
Goal-seeking loop for situations in which the goal is lower than the current state results in an exponential decay behavior. This is an element of Simulation with Insight Maker contributed by Edythe Thompson.
Exponential Decay Causal Loops Goal-seeking Balancing
Goal-seeking loop for situations in which the goal is lower than the current state results in an exponential decay behavior.

This is an element of Simulation with Insight Maker contributed by Edythe Thompson.
Exponential Decay
Gene Bellinger
17
This simulation allows you to compare different approaches to influence flow, the Flow Times and the throughput of a work process. By adjusting the sliders below you can  observe the work process without any work in process limitations ( WIP Limits ),  with process step specific WIP Limits* (
TOC Flow Tameflow Theory Of Constraints DBR Agile Kanban Drum-Buffer-Rope
This simulation allows you to compare different approaches to influence flow, the Flow Times and the throughput of a work process.

By adjusting the sliders below you can 
  • observe the work process without any work in process limitations (WIP Limits), 
  • with process step specific WIP Limits* (work state WIP limits), 
  • or you may want to see the impact of the Tameflow approach with Kanban Token and Replenishment Token 
  • or see the impact of the Drum-Buffer-Rope** method. 
* Well know in (agile) Kanban
** Known in the physical world of factory production

The "Tameflow approach" using Kanban Token and Replenishment Token as well as the Drum-Buffer-Rope method take oth the Constraint (the weakest link of the work process) into consideration when pulling in new work items into the delivery "system". 

You can also simulate the effects of PUSH instead of PULL. 

Feel free to play around and recognize the different effects of work scheduling methods. 

If you have questions or feedback get in touch via twitter @swilluda

The work flow itself
Look at the simulation as if you would look on a kanban board. 

The simulation mimics a "typical" software delivery process. 

From left to right you find the following ten process steps. 
  1. Input Queue (Backlog)
  2. Selected for work (waiting for analysis or work break down)
  3. Analyse, break down and understand
  4. Waiting for development
  5. In development
  6. Waiting for review
  7. In review
  8. Waiting for deployment
  9. In deployment
  10. Done
Kanban Board Simulation - WIP Limit, Tameflow Kanban Token and Drum-Buffer-Rope
Stefan Willuda
11