|SYSTEM MODELING AND SIMULATION|
|Written by Administrator|
|Sunday, 08 November 2009 17:29|
PART - A
Unit - 1
Introduction: When simulation is the appropriate tool and when it is not appropriate; Advantages and disadvantages of Simulation; Areas of application; Systems and system environment; Components of a system; Discrete and continuous systems; Model of a system; Types of Models; Discrete-Event System Simulation; Steps in a Simulation Study.
Simulation examples: Simulation of queuing systems; Simulation of inventory systems; Other examples of simulation.
Unit - 2
General Principles, Simulation Software: Concepts in Discrete-Event Simulation: The Event-Scheduling / Time-Advance Algorithm, World Views, Manual simulation Using Event Scheduling; List processing.
Simulation in Java; Simulation in GPSS.
Unit - 3
Statistical Models in Simulation: Review of terminology and concepts; Useful statistical models; Discrete distributions; Continuous distributions; Poisson process; Empirical distributions.
Unit - 4
Queuing Models: Characteristics of queuing systems; Queuing notation; Long-run measures of performance of queuing systems; Steady-state behavior of M/G/1 queue; Networks of queues.
PART - B
Unit - 5
Random-Number Generation, Random-Variate Generation: Properties of random numbers; Generation of pseudo-random numbers; Techniques for generating random numbers; Tests for Random Numbers.
Random-Variate Generation: Inverse transform technique; Acceptance-Rejection technique; Special properties.
Unit - 6
Input Modeling: Data Collection; Identifying the distribution with data; Parameter estimation; Goodness of Fit Tests; Fitting a non-stationary Poisson process; Selecting input models without data; Multivariate and Time-Series input models.
Unit - 7
Output Analysis for a Single Model: Types of simulations with respect to output analysis; Stochastic nature of output data; Measures of performance and their estimation; Output analysis for terminating simulations; Output analysis for steady-state simulations.
unit - 8
Verification and Validation of Simulation Models, Optimization: Model building, verification and validation; Verification of simulation models; Calibration and validation of models. Optimization via Simulation.
1. Discrete-Event System Simulation - Jerry Banks, John S. Carson II, Barry L. Nelson, David M. Nicol, 4th Edition, Pearson Education, 2007.
1. Discrete – Event Simulation A First Course - Lawrence M. Leemis, Stephen K. Park, Pearson Education/PHI, 2006.
2. Simulation - Sheldon M. Ross, 4th Edition, Elsevier, 2006.
3. Simulation Modeling and Analysis - Averill M. Law, 4th Edition, Tata McGraw-Hill, 2007.