JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

UNIT - I

Introduction to Simulation: 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. The basics of Spreadsheet simulation, Simulation example: Simulation of queuing systems in a spreadsheet; Concepts in Discrete-Event Simulation: The Event- Scheduling / Time- Advance Algorithm, World Views, Manual simulation Using Event Scheduling

UNIT - II

Statistical Models in Simulation: Review of terminology and concepts; Useful statistical models; discrete distributions; Continuous distributions; Poisson process; Empirical distributions. Queuing Models: Characteristics of queuing systems; Queuing notation; Long-run measures of performance of queuing systems; Steady-state behaviour of M/G/1 queue; Networks of queues; Rough-cut modeling: An illustration

UNIT - III

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 - IV

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 Estimation of Absolute Performance: Types of simulations with respect to output analysis; Stochastic nature of output data; Absolute measures of performance and their estimation; Output analysis for terminating simulations; Output analysis for steady-state simulations

UNIT - V

Verification, Calibration, and Validation; Optimization: Model building, verification and validation; Verification of simulation models; Calibration and validation of models, optimization via Simulation

R16 B.TECH AERONAUTICAL ENGG.

TEXT BOOKS:

• 1. Jerry Banks, John S. Carson II, Barry L. Nelson, David M. Nicol: Discrete-Event System Simulation, 5th Edition, Pearson Education, 2010

REFERENCES

• 1. Devendra K. Chaturvedi: Modeling and Simulation of Systems Using MATLAB and Simulink, CRC Press, Taylor and Francis Group, 2010
• 2. Frank L. Severance: System Modeling and Simulation: An Introduction, John Wiley & Sons Ltd, 2001 R16 B.TECH AERONAUTICAL ENGG.