Version 1
: Received: 4 February 2024 / Approved: 5 February 2024 / Online: 5 February 2024 (10:31:43 CET)
How to cite:
A Mageed, D.I. A Review of Modelling and SimulationTechniques for Life Support Systems and Queueing Systems. Preprints2024, 2024020261. https://doi.org/10.20944/preprints202402.0261.v1
A Mageed, D.I. A Review of Modelling and SimulationTechniques for Life Support Systems and Queueing Systems. Preprints 2024, 2024020261. https://doi.org/10.20944/preprints202402.0261.v1
A Mageed, D.I. A Review of Modelling and SimulationTechniques for Life Support Systems and Queueing Systems. Preprints2024, 2024020261. https://doi.org/10.20944/preprints202402.0261.v1
APA Style
A Mageed, D.I. (2024). A Review of Modelling and SimulationTechniques for Life Support Systems and Queueing Systems. Preprints. https://doi.org/10.20944/preprints202402.0261.v1
Chicago/Turabian Style
A Mageed, D.I. 2024 "A Review of Modelling and SimulationTechniques for Life Support Systems and Queueing Systems" Preprints. https://doi.org/10.20944/preprints202402.0261.v1
Abstract
This paper provides an overview of modelling and simulation methods for complex systems, including queuing and life support systems. To realize and capture every aspect of a system or situation, a model is used in place of the actual one. Using a model and simulation, we may create scenarios and make decisions. Computer experiments with the model can save costs, time, and effort once its validity has been shown. A model of the thing under study is created by computer simulation, which then runs the model on a digital computer and examines the results. It's interesting to note that a knowledge base of data includes information about predicted behaviour of the model as well as coordinated determination of external variables and parameters. Selecting the precise model creation technique is the first and most difficult task in simulation. A review of techniques used in simulation model execution (serial and parallel discrete-event simulation), simulation model analysis (calibration, validation, verification, goal-seeking), and conceptual, declarative, functional, constraint, and multimodal design are presented in this paper.
Keywords
Review; calibration; validation; verification; goal seeking; queueing systems
Subject
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
