## Tuesday, February 11, 2014

### CM7203 DISCRETE SYSTEM SIMULATION Syllabus | Anna University ME

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### Anna University Syllabus - Anna University ME Syllabus

CM7203 DISCRETE SYSTEM SIMULATION Syllabus | Anna University ME Computer Integrated Manufacturing Second Semester Syllabus Regulation 2013. Below is the Anna University 2013 Regulation Syllabus for 2nd Semester for ME Computer Integrated Manufacturing, Textbooks, Reference books, Exam portions, Question Bank, Previous year question papers, Model question papers, Class notes, Important 2 marks, 8 marks, 16 marks topics.
It is applicable for all students admitted in the Academic year 2013-2014 onwards for all its Affiliated institutions in Tamil Nadu.

### CM7203 DISCRETE SYSTEM SIMULATION L T P C 3 0 0 3

OBJECTIVE:
 To understand the importance and advantages of applying simulation techniques for solving
various problems on discrete event systems.
 To teach various random number generation techniques, its use in simulation, tests and validity of
random numbers etc. development of simulation models, verification, validation and analysis.
 To understand the applications of random probability distributions in real time environments.
 Train students to solve discrete event problems through hand simulation and to develop simulation
models using Extend simulation software.
UNIT I INTRODUCTION: 3
Systems, modeling, general systems theory, concept of simulation, simulation as a decision making
tool, types of simulation.
13
UNIT II RANDOM NUMBERS: 5
Methods of generating random numbers, Pseudo random numbers and random variates, discrete and
continuous random probability distributions, tests for random numbers.
UNIT III DESIGN OF SIMULATION: 8
Problem formulation, data collection and reduction, time flow mechanism, key variables, logic flow
chart, starting condition, run size, experimental design consideration, output analysis and
interpretation, validation.
UNIT IV SIMULATION SOFTWARE: 14
Study and selection of simulation languages, Use of simulation software such as Extend, Matlab,
Simulink, LabView etc., for simulation.
UNIT V CASE STUDIES IN SIMULATION: 15
Development of simulation models for queuing systems, production systems, inventory systems,
Industrial scheduling problems, Dispatch rules, Metaheuristics
TOTAL: 45 PERIODS
OUTCOME:
Students will:
1. Learn to simulate models matching real life scenarios and obtain superior results
2. Develop capabilities of taking up consultancy projects.
REFERENCES
1. Banks, J., Nelson, B.L. and Nicol, D.M., “Discrete event system simulation”, 4th edition Prentice
Hall, India, 2005.
2. Kalechman, M., “Practical MATLAB® basics for engineers”, CRC press, Taylor and Francis group,
First Indian reprint, 2012.
3. Shannon, R.E. “systems simulation – The art and Science”, Prentice Hall, 1975.
4. Schriber, T.J., “simulation using GPSS”, John Wiley, 1991.
5. Law, A.M. and Kelton, W.D., "Simulation Modeling and Analysis", McGraw Hill, 2000.