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Frequently Asked Questions

Analytical Vs Simulation Modelling

Excel is a common tool used for simulation modelling, sometimes however there are times when the analytics solution does not exist. this includes dynamic systems that feature:

  • Non-linear behaviour
  • Memory
  • Non-intuitive influences between variables
  • Time and casual dependencies

Formulas that are good for expressing static dependencies between variables fail to work when it comes to describing the systems with dynamic behaviour. This is where another modelling technology that is specifically designed for analysing dynamic systems, simulation modelling, to come in.

AnyLogic Computational Requirements

At least a Core i5 or higher modern CPU with 4 cores or threads, and 16GB of RAM. As long as there is enough RAM a slower CPU will mean slower runs and a less-responsive AnyLogic client.

Windows OS is the main supported platform for AnyLogic, while it runs on Linux and Mac they have other limitations.

Does the PLE have an expiration date?

There is no expiration date for the PLE but it has limited capability compared to the full version.

How is mentoring provided?

Mentoring is done remotely and is not currently provided in person

Susceptibility to log4j v.2 vulnerabilities

AnyLogic internally uses log4j v.1 which is not vulnerable

AnyLogic model may choose to use log4j v.2 for logging but the nature of the vulnerability means even such models will not be vulnerable, this includes models run on the AnyLogic Cloud

More information available within AnyLogic Cloud 2.2.9 update

Three Methods of Simulation Modelling

System Dynamics

  • A highly abstract method of modelling. It ignores the fine details of a system and produces a general representation of a complex system. These abstract simulation models can be used for long-term, strategic modelling and simulation.

Discrete Event Modelling

  • Focuses on the processes in a system at a medium of abstraction. Specific physical details are not represented. This type of modelling is most commonly used in the manufacturing, logistics and healthcare industries.

Agent Based Modelling

  • Focused on the individual active components of a system.
  • In agent based modelling, active entities known as agents must be identified and their behaviour defined. Connections between the agents are established, environmental variables set and simulations run. The global dynamics of the system can then emerge from the interactions of the many individual behaviours.
  • Agent based modelling is able to free itself from the limitations of the other two types of modelling. System dynamics models will contain assumptions, while discrete event models view organisations as a number of processes. While these approaches are more powerful than spreadsheet based modelling, they ignore the unique composition and complex relationships of individual models.

AnyLogic is able to combine these three methods of simulation modelling for efficient results.

What is modelling?

Modelling is a way to solve problems that appear in the real world as a risk free alternative

Experimenting with real objects, i.e. building and destroying things, can be too dangerous or expensive. It is more feasible to leave the real world and enter the modelling world, build a model of a real system and take out parts that are considered irrelevant to the problem that is being solved. A model is always less complex than the original system.

24 Hour transfer hold

All server types, including regional, global and dongle, dongle-less now do not have a 24 hour hold on them.

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