Implementation of Simulation and its types in Queuing Theory
Author(s):
MANISH BORA, SHAILENDRA BOHRA, RAHUL VYAS, LALIT JYANI
ISSN:
2349-6002
Cite This Article:
Implementation of Simulation and its types in Queuing Theory International Journal of Innovative Research in Technology(www.ijirt.org) ,ISSN: 2349-6002 ,Volume 6 ,Issue 5 ,Page(s):206-209 ,October 2019 ,Available :IJIRT148725_PAPER.pdf
Keywords:
simulation, monte-carlo simulation, randomness, uncertainty, modelling.
Abstract
Simulation is the process of imitating a real-life model and solving problems associated with it without interacting with the real-world system. Advantage of simulation is that it can involve difficulties associated with the real system and solve the complication corresponding to it without interacting with the real model. The biggest drawback of simulation is that it involves dealing with cumbersome amount of data, requires highly proficient workers to operate the simulation software and the data output is highly unreliable as it involves lot of uncertainty and randomness. The purpose of this paper is to give a comprehensive run-through of different types of simulation. The crucial objective is to give a holistic outline of one specific kind of simulation i.e. Stochastic simulation where uncertainties are involved. The following paper introduces the types of simulation, terminologies used in monte-carlo and discrete event simulation and finally concludes with a sample problem of monte-carlo simulation.
Article Details
Unique Paper ID: 148725

Publication Volume & Issue: Volume 6, Issue 5

Page(s): 206 - 209
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