Thursday, 1 October 2020

System Modeling and Simulation







System Modeling and Simulation, according to the term modeling, it refers to a logical, physical, or mathematical representation of a model, including the method of its construction and operation, so that it resembles a real system in order to help specialists anticipate the effects of the changes that will occur to the system, in other words, modeling is Create a model that simulates the system with all its features.

 

Simulation is the running of the model in a manner that is related to time or place to help analyze the performance of an existing or proposed system, in other words, simulation is defined as the study of system performance using a model.

 

Basic concepts of System Modeling and Simulation

An idea of ​​some basic concepts related to the terms modeling and simulation, in general, is required.

 

Object:

System Modeling and Simulation, It is an autonomous entity in the real world that can perform widely varying behavior depending on the context presented within it as well as the various aspects of the behavior under study.

 

Base model:

It is a hypothetical, abstract representation of the properties of an object, especially with regard to its available behavior in all possible contexts, and what distinguishes it is that it is a hypothetical model of the impossibility of its representation or structure in the form of a complete model.

 

the system:

It is an articulate and important being within certain conditions and found in the real world.

 

Experimental framework:

The experimental framework is used to study the system in the real world in terms of experimental conditions and objectives, and this experimental framework consists of two groups of variables, the first being the input variables of the framework and the second being its output variables, which are the link between the parties to the system or the model.

 

Assembled form:

It is an accurate explanation and clarification of the system that follows specific conditions for the specified experimental framework.

 

Verify:

It is a comparison between two or more elements to ensure the desired accuracy. This can be reached in modeling and simulation by comparing the stability and coherence of the simulation program and the combined model in order to ensure performance.

 

Pros of modeling and simulation

Ease of understanding:

Modeling and simulation allow you to understand the real way a system works without the need to use real systems.

 

Ease of testing and experimentation:

Modeling and simulation allow you to make changes to the system and see how they affect results without the need to use real systems.

 

Ease of updating:

Through modeling and simulation, it is possible to define system requirements by applying different visualizations and assumptions and experimenting with them.

 

Ease of identifying barriers:

Some systems are characterized by many complexities with which it is difficult to understand how they operate at a specific time, but through modeling and simulation, it became possible to understand all interactions and analyze their effects in addition to the ability to discover new methods, operations, and procedures without affecting the real system.

 

Negatives of modeling and simulation

Some negatives have been noted associated with the use of modeling and simulation, including:

  • Model design is an art that requires basic knowledge, experience, and training.
  • Processes are applied to the system using random numbers that make it difficult to predict results.
  • The simulation requires labor and time-consuming processes.
  • Simulation results can be difficult to translate without expert assistance.
  • It is known that simulation requires a high financial costs.

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