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simulation models and Insights now. Features
Simulate
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 model illustrates predator prey interactions using real-life data of wolf and moose populations on the Isle Royale.
A model of Global Climate Change driven by the impact of Carbon Dioxide on the Greenhouse Effect. This model contains a physical model of energy inflows ☀️ and outflows from the Earth (primary source). And a simple model of carbon dioxide sources and sinks in the atmosphere (primary source).
The energy model assumes inflowing short-wave solar radiation that does not interact with the atmosphere. A fraction of this is reflected immediately (e.g. by snow and ice cover). The remaining is absorbed 🌎 and re-radiated as long-wave infrared which can be captured by the atmosphere ☁️. The fraction captured by the atmosphere is related to the level of Carbon Dioxide in the atmosphere.
This model tracks Carbon Dioxide emissions from burning fossil fuels 🏭 and land use changes 🚜 (e.g. deforestation). It also tracks removal of Carbon Dioxide from the atmosphere into a land sink 🌲 (e.g. vegetation) and the an ocean sink 🏖.
🧪 Experiment with different levels of emissions to see their impact on global average temperatures. You can also compare predicted temperatures and Carbon Dioxide levels to historical data.
Replaced by IM-9781 Clone of IM-752 map for working simulation model This model is derived from "Nobody Ever Gets Credit for Fixing Problems that Never Happened: Creating and Sustaining Process Improvement" by Nelson P. Repenning and John D Sterman. An expanded map is at IM-1918.
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.
Input Queue (Backlog)
Selected for work (waiting for analysis or work break down)
