IE3402 SIMULATION MODELING AND ANALYSIS SYLLABUS | ANNA UNIVERSITY BE INDUSTRIAL ENGINEERING 7TH SEM SYLLABUS REGULATION 2008 2011 2012-2013 BELOW IS THE ANNA UNIVERSITY SEVENTH SEMESTER BE INDUSTRIAL ENGINEERING DEPARTMENT SYLLABUS, TEXTBOOKS, REFERENCE BOOKS,EXAM PORTIONS,QUESTION BANK,CLASS NOTES, IMPORTANT 2 MARKS, 8 MARKS, 16 MARKS TOPICS. IT IS APPLICABLE FOR ALL STUDENTS ADMITTED IN THE YEAR 2011 2012-2013 (ANNA UNIVERSITY CHENNAI,TRICHY,MADURAI,TIRUNELVELI,COIMBATORE), 2008 REGULATION OF ANNA UNIVERSITY CHENNAI AND STUDENTS ADMITTED IN ANNA UNIVERSITY CHENNAI DURING 2009
IE3402 SIMULATION MODELING AND ANALYSIS L T P C
3 0 0 3
OBJECTIVE:
To cover various aspects of discrete dynamic, stochastic systems modeling and
conducting experiments with those models on a computer.
UNIT I INTRODUCTION 3
Systems – Modelling – types – systems components – Simulation basics
UNIT II RANDOM NUMBERS/VARIATES 10
Random numbers – methods of generation – random variates for standard
distributions like uniform, exponential, Poisson, binomial, normal etc – Testing of
Random variates – Monte Carlo Simulation
UNIT III DESIGN OF SIMULATION EXPERIMENTS 12
Steps on Design of Simulation Experiments – Development of models using of Highlevel
language for systems like Queuing, Inventory, Replacement, Production etc., –
Model validation and verification, Output analysis.
UNIT IV SIMULATION LANGUAGES 12
Need for simulation Languages – Comparisons & Selection of Languages – GPSSARENA-
EXTEND – Study of any one of the languages
UNIT V CASE STUDIES USING SIMULATION LANGUAGES 8
TOTAL: 45 PERIODS
REFERENCES
1. Jerry Banks, John S Corson,Barry.L. Nelson,David M. Nicol and
P.Shahabudeen, Discrete Event Systems Simulation, Pearson education,
Fourth edition,2007.
2. Geoffrey Gordon, Systems Simulation, Prentice Hall, 2002
3. Law A M & Kelton W D, Simulation Modelling and analysis, Tata McGraw-
Hill, 2003
4. David Kelton, Rondall P Sadowski, David T Sturrock, Simulation with
Arena, Mc Graw Hill, 2004
5. Thomas J Schriber, Simulation Using GPSS, John Wiley,2002.
http://www.bcnn.net
IE3402 SIMULATION MODELING AND ANALYSIS L T P C
3 0 0 3
OBJECTIVE:
To cover various aspects of discrete dynamic, stochastic systems modeling and
conducting experiments with those models on a computer.
UNIT I INTRODUCTION 3
Systems – Modelling – types – systems components – Simulation basics
UNIT II RANDOM NUMBERS/VARIATES 10
Random numbers – methods of generation – random variates for standard
distributions like uniform, exponential, Poisson, binomial, normal etc – Testing of
Random variates – Monte Carlo Simulation
UNIT III DESIGN OF SIMULATION EXPERIMENTS 12
Steps on Design of Simulation Experiments – Development of models using of Highlevel
language for systems like Queuing, Inventory, Replacement, Production etc., –
Model validation and verification, Output analysis.
UNIT IV SIMULATION LANGUAGES 12
Need for simulation Languages – Comparisons & Selection of Languages – GPSSARENA-
EXTEND – Study of any one of the languages
UNIT V CASE STUDIES USING SIMULATION LANGUAGES 8
TOTAL: 45 PERIODS
REFERENCES
1. Jerry Banks, John S Corson,Barry.L. Nelson,David M. Nicol and
P.Shahabudeen, Discrete Event Systems Simulation, Pearson education,
Fourth edition,2007.
2. Geoffrey Gordon, Systems Simulation, Prentice Hall, 2002
3. Law A M & Kelton W D, Simulation Modelling and analysis, Tata McGraw-
Hill, 2003
4. David Kelton, Rondall P Sadowski, David T Sturrock, Simulation with
Arena, Mc Graw Hill, 2004
5. Thomas J Schriber, Simulation Using GPSS, John Wiley,2002.
http://www.bcnn.net
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