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Simulation and Modelling pdf notes
Neeraj Yadav

Simulation and Modelling pdf notes

Neeraj Yadav | 21-Jan-2016 |
Inventory Concept , Probability Concepts in Simulation , Discrete System Simulation and GPSS , Simulation Languages and Practical Systems ,

Hi friends, here Neeraj Yadav uploaded notes for Simulation And Modelling with title Simulation and Modelling pdf notes. You can download this lecture notes, ebook by clicking on the below file name or icon.

Module-1 (10 Hours)
Inventory Concept: The technique of Simulation, Major application areas, concept of a
System, Environment, Continuous and discrete systems, systems modeling types of
models progress of a Simulation Study, Monte Carlo Method, Comparison of Simulation
and Analytical Methods. Numerical Computation Technique for discrete and
continuous models, Continuous System Simulation.
Module-2 (10 Hours)
Probability Concepts in Simulation : Stochastic variables, Discrete and Continuous
Probability Functions, Numerical evaluation of continuous probability functions,
continuous uniformly distributed random numbers, Random Number Generators –
Linear congruential Generator, Mid Square Method, Multiplicative Congruential
generator, rejection Method, Testing of random Numbers, Generation of Stochastic
variates, Arrival Patterns Service times.
Module-3 (10 Hours)
Discrete System Simulation and GPSS: Discrete Events, Representation of Time,
generation of arrival patterns, fixed time step versus next event simulation, Simulation
of a Telephone System, delayed calls. Introduction to GPSS : Creating and moving
transactions, queues, facilities and storages, gathering statistics, conditional transfers,
program control statements, priorities and parameters, standard numerical attributes,
functions, gates, logic switches and tests, Variables, Select and Count.
Module-4 (10 Hours)
Simulation Languages and Practical Systems: Continuous and discrete systems
languages, factors in the section of discrete systems simulation language. Computer
model of queuing, inventory and scheduling systems. Design and Evaluation of
simulation Experiments: Length of simulation runs, validation, variance reduction
techniques, experimental layout, analysis of simulation output, Recent trends and


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