IL4203 System Simulation Syllabus:
IL4203 System Simulation Syllabus – Anna University PG Syllabus Regulation 2021
OBJECTIVES:
To learn about generating of random numbers and random variates.
To learn how to test the random numbers and random variates.
To learn how to design the simulation experiment.
To be trained in simulation software packages.
To apply simulation techniques for various optimization problems.
UNIT I INTRODUCTION AND RANDOM NUMBERS
Systems – Modelling – Types – Systems components – Simulation basics- Random numbers – Methods of generation : Manual, table, algorithms – mid square, multiplier, constant multiplier, additive and multiplicative congruential algorithms
UNIT II RANDOM VARIATES GENERATION AND TESTING
Random variates for standard distributions like uniform, exponential, poisson, binomial, normal etc – Testing of Random variates – Input Data Modeling – Monte Carlo Simulation.
UNIT III DESIGN OF SIMULATION EXPERIMENTS
Steps on Design of Simulation Experiments – Development of models using of High level language for systems like Queing, Inventory, Replacement, Production etc., – Model validation and verification, Output analysis. Use of DOE tools.
UNIT IV SIMULATION LANGUAGES
Need for simulation Languages – Study of various simulation software packages.
UNIT V CASE STUDIES USING SIMULATION LANGUAGES
Waiting line models, inventory models, and production models.
TOTAL: 60 PERIODS
OUTCOMES:
CO1: Able to generate random numbers and random variates.
CO2: Able to test the statistical stability of random variates.
CO3: Able to develop simulation models for real life systems.
CO4: How to use simulation language to simulate and analyze various problems.
CO5: Able to solve waiting line model, inventory models and production models problems using simulation software.
REFERENCES:
1. David Kelton, Rondall P Sadowski and David T Sturrock, “Simulation with Arena”, McGraw Hill, 2004.
2. Jerry Banks, John S Corson, Barry.L. Nelson, David M.Nicol and P.Shahabudeen, Discrete Event Systems Simulation, Pearson education, Fourth edition, 2007.
3. Law A M and Kelton W D, Simulation Modelling and analysis, Tata McGraw Hill, 2003.Thomas J Schriber, “Simulation Using GPSS”, John Wiley, 2002.