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

There are about fifteen known archetypes with an interesting set of relationships among them.  Video    There is a new version of this model at   Frequently Recurring Structures
There are about fifteen known archetypes with an interesting set of relationships among them.

There is a new version of this model at

Frequently Recurring Structures

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* (
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
 PLN berkomitmen meningkatkan porsi energi terbarukan.
Awalnya terbarukan 20%, fosil 80%. Pertumbuhan terbarukan 10% per tahun, fosil
2% per tahun. Namun, dominasi fosil menekan laju pertumbuhan terbarukan,
sementara peningkatan terbarukan menurunkan porsi fosil. 

PLN berkomitmen meningkatkan porsi energi terbarukan. Awalnya terbarukan 20%, fosil 80%. Pertumbuhan terbarukan 10% per tahun, fosil 2% per tahun. Namun, dominasi fosil menekan laju pertumbuhan terbarukan, sementara peningkatan terbarukan menurunkan porsi fosil. 

2 weeks ago
 Causal loop diagram unfolding story based on Jack  Homer's  paper  Worker burnout: a dynamic model See  IM-333  for the Simulation model and  IM-2178  for a related Causal Loop Diagram of Project Turnover 
  

Causal loop diagram unfolding story based on Jack  Homer's paper Worker burnout: a dynamic model See IM-333 for the Simulation model and IM-2178 for a related Causal Loop Diagram of Project Turnover

 

17 11 months ago
 Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.      With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.     We start with an SIR model, such as that featured in the MAA model featured
Spring, 2020: in the midst of on-line courses, due to the pandemic of Covid-19.

With the onset of the Covid-19 coronavirus crisis, we focus on SIRD models, which might realistically model the course of the disease.

We start with an SIR model, such as that featured in the MAA model featured in

Without mortality, with time measured in days, with infection rate 1/2, recovery rate 1/3, and initial infectious population I_0=1.27x10-4, we reproduce their figure

With a death rate of .005 (one two-hundredth of the infected per day), an infectivity rate of 0.5, and a recovery rate of .145 or so (takes about a week to recover), we get some pretty significant losses -- about 3.2% of the total population.

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