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Explore powerful simulation algorithms for System Dynamics and Agent
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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.
Collapse of the economy, not just recession, is now very likely. To give just one possible cause,
in the U.S. the fracking industry is in deep trouble. It is not only that most
fracking companies have never achieved a free cash flow (made a profit)
since the fracking boom started in 2008, but that an already very weak and unprofitable oil industry cannot cope with
extremely low oil prices. The result will be the imminent collapse of the
industry. However, when the fracking industry collapses in the US, so will the American
economy – and by extension, probably, the rest of the world economy. To grasp a
second and far more serious threat it is vital to understand the phenomenon of ‘Global
Dimming’. Industrial activity not only produces greenhouse gases, but
emits also sulphur dioxide which converts to reflective sulphate aerosols in the
atmosphere. Sulphate aerosols act like little mirrors that reflect sunlight
back into space, cooling the atmosphere. But when economic activity stops, these
aerosols (unlike carbon dioxide) drop out of the atmosphere, adding perhaps as
much as 1° C to global average temperatures. This can happen in a very short period
time, and when it does mankind will be bereft of any means to mitigate the
furious onslaught of an out-of-control and merciless climate. The data and the unrelenting
dynamic of the viral pandemic paint bleak picture. As events unfold in the next few months, we may discover that it is too late to act, that our reign on this planet has, indeed, come to an abrupt end?
Covid 19 - irreversible and catastrophic consequences
Unfolding WIP of Eric Wolstenholme's explanation of hospital congestion from March 2022 Youtube video and online stella presentation. Use of cascading interlinked archetypes. See Kumu version, early discharge boundaries IM for an earlier version and Generic Archetypes IM from Gene and Simpler Version IM
The amount of time it will take to process objects for a decant. From on the shelf through the required processes to the point of them being ready to be shipped to another store.
This model shows how the population of Whitby changes over time using logistic growth. Population growth is influenced by birth rate, death rate, migration rate, and an estimated carrying capacity. When the population is well below the carrying capacity, growth is faster. As the population approaches the carrying capacity, the population growth rate decreases.
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)