The Birth of Simulation Modeling

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The origin of the simulation method is associated with the work of von Neumann and Uhlan in the late 1940s, when they introduced the name "Monte Carlo" for it and applied it to solving some problems of shielding nuclear radiation.

The technology is currently used in the oil and gas sector and logistics, among other things. Companies such as Gazprom Neft, Sibur, X5 Group, FM Logistics independently or in partnership with other guatemala telegram database organizations create digital twins of various assets and processes. From supply chains and production to deposits and quarries.



How to design a simulation model
A successful simulation model is a tool that can provide useful insights for business decision making.

Platform and tools
Getting started is inextricably linked with the choice of modeling tools. These can be:

specialized software, such as AnyLogic, Simio, Arena;
programming languages: Python, MATLAB, Java;
or frameworks for modeling and simulation.
System abstraction
One of the important steps is to determine the level of detail of the model. The more detailed we describe the system, the more complex the model is and the more data it will require. Deciding what to include and what details to consider is key.