06CS82 - System Modeling And Simulation |
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; Steadystate
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 pseudorandom
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. |
REFERENCE |
TEXT BOOKS: |
1. Discrete-Event System Simulation – Jerry Banks, John S. Carson
II, Barry L. Nelson, David M. Nicol, 4th Edition, Pearson Education,
2007.
|
Reference Books |
1. Discrete – Event Simulation: A First Course – Lawrence M.
Leemis, Stephen K. Park, Pearson Education/ Prentice-Hall India,
2006.
2. Simulation – Sheldon M. Ross, 4th Edition, Elsevier, 2006.
3. Simulation Modeling and Analysis – Averill M. Law, 4th Edition,
Tata McGraw-Hill, 2007. |