Build Models in your Browser

Use Insight Maker to create rich pictures and causal loop diagrams. Then make shareable simulation models. All right in your browser, for free. Just sign up for a free account and start modeling now.

System Dynamics Models

System Dynamics is a powerful approach for modeling change within systems and Insight Maker is perfect for building System Dynamics models.

Agent Based Models

Explore the interactions between dynamic agents. Use Insight Maker to define agent behavior and simulate a population of agents interacting.

Create an Insight Maker account to start building models. Insight Maker is completely free.

Start Now

Insight Maker runs in your web-browser. No downloads or plugins are needed. Start converting your ideas into your rich pictures, 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

Collaborate

Sharing models has never been this easy. Send a link, embed in a blog, or collaborate with others. It couldn't be simpler. More

Free & Open

Build your models for free. Share them with others for free. Harness the power of Insight Maker for free. Open code mean security and transparency. More

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 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)
Analyse, break down and understand
Waiting for development
In development
Waiting for review
In review
Waiting for deployment
In deployment
Done

Kanban Board Simulation - WIP Limit, Tameflow Kanban Token and Drum-Buffer-Rope

Stefan Willuda

Clusters of interacting methods for improving health services network design and delivery. Includes Forrester quotes on statistical vs SD methods and the Modeller's dilemma. Simplified version of IM-14982 combined with IM-17598 and IM-9773

Complex Decision Technologies

Geoff McDonnell

34 10 months ago

Here we have a basic SEIR model and we will investigate what changes would be appropriate for modelling the 2019 Coronavirus

SEIR Infectious Disease Model for COVID-19

Rolf Häsänen

677 5 months ago

The SEIRS(D) model for the purpose of experimenting with the phenomena of viral spread. I use it for COVID-19 simulation.

SEIR - COVID-19 (v.1)

Remigiusz Kinas

La situación modelada expresa el crecimiento de las ventas impulsadas por la motivación y productividad, pero es frenada por el tamaño del nicho de mercado.

Límite de Crecimiento

Marcelo A. Castro Iglesias

578 9 months ago

This model was converted from this spreadsheet to Insight Maker by importing a ModelJSON file generated by ChatGPT. To see more details, see this presentation.

Spreadsheets as a System Dynamics Language: Unlocking Model Translation with AI

Spreadsheets are everywhere. Yet we rarely think of them as modeling languages.

In this presentation, I share a core idea that has been shaping my recent work:

👉 When rigorously structured, spreadsheets already encode stocks, flows, variables, parameters, and causal relationships.

In that sense, they can be understood as a Domain-Specific Language (DSL) for System Dynamics.

Building on this perspective, I explore how Large Language Models (LLMs) can act not as black boxes, but as reliable semantic translators, converting structured spreadsheets into formal System Dynamics models - while preserving structure, meaning, and traceability.

This is not just a technical contribution. It has broader implications for:

communication among system modelers,
model reproducibility and auditability,
education,
and dialogue between research, policy, and practice.

📎 Here is the presentation e here is the spreadsheet with original data.

I would be very interested in hearing feedback, critiques, and related experiences.

This feels like an early step toward a future in which models can truly “talk” to each other, regardless of their original language.

Prof. Dr. Paulo Villela

villela.paulo@gmail.com

linkedin.com/in/paulovillela/

Spreadsheets as a System Dynamics Language - English Version

Paulo Villela

4 weeks ago