MTech Simulation Modeling Of Manufacturing Science syllabus for 2 Sem 2020 scheme 20MPY23

Module-1 Principle of Computer Modelling and Simulation 0 hours

Principle of Computer Modelling and Simulation:

Monte Carlo simulation. Nature ofcomputer- modeling and simulation. Limitations of simulation, areas of applications. System and Environment: Components of a system -discrete and continuous systems,Models of a system -a variety of modeling approaches.

Module-2 Discrete Event Simulation 10 hours

Discrete Event Simulation:

Concepts in discrete event simulation, manual simulation usingevent scheduling, single channel queue, too server queue, simulation of inventory problem.

 

Statistical Models in Simulation:

Discrete distributions, continuous distributions.

A d v e r t i s e m e n t
Module-3 Random Number Generation 10 hours

Random Number Generation:

Techniques for generating random numbers- Mid squaremethod - the mod product method -Constant multiplier technique -Additive congruentialmethod - Linear congruential method -Tests for random numbers -The KolmogorovSmirnovtest -the Chi-square test, IvicaCmkovic, Ulfaskluna and AnnitaborsenDohlgvistPublisherArtech house.1

Module-4 Random Variable Generation 10 hours

Random Variable Generation:

Inversion transforms techniqueexponential distribution.Uniform distribution, weibul distribution, continuous distribution, generating approximatenormal variates-Erlang distribution.

 

Empirical Discrete Distribution:

Discrete uniform -distribution Poisson distribution -geometric distribution - acceptance - rejection technique for Poisson distribution gammadistribution.

Module-5 Design and Evaluation of Simulation Experiments 10 hours

Design and Evaluation of Simulation Experiments:

variance reduction techniques -antithetic variables, variables-verification and validation of simulation models.

 

Simulation Software:

Selection of simulation software, simulation packages.

 

Course outcomes:

At the end of the course the student will be able to:

1. Describe the role of important elements of discrete event simulation and modeling paradigm.

2. Conceptualize real world situations related to systems development decisions, originating from source requirements and goals.

3. Develop skills to apply simulation software to construct and execute goal-driven system models.

4. Interpret the model and apply the results to resolve critical issues in a real world environment.

5. Understand the Empirical Discrete Distribution, Design and Evalution of Simulation Experiments.

 

Question paper pattern:

The SEE question paper will be set for 100 marks and the marks scored will be proportionately reduced to 60.

  • The question paper will have ten full questions carrying equal marks.
  • Each full question is for 20 marks.
  • There will be two full questions (with a maximum of four sub questions) from each module.
  • Each full question will have sub question covering all the topics under a module.
  • The students will have to answer five full questions, selecting one full question from each module.

 

Textbooks

(1) Discrete Event System Simulation - Jerry Banks & .John S Carson II - Prentice Hall Inc.-1984.

(2) Systems Simulation - Gordan. G. - Prentice Hall India Ltd - 1991.

 

Reference Books

(1) System Simulation with Digital Computer – NusingDeo - Prentice Hall of India - 1979.

(2) Computer Simulation and Modeling - Francis Neelamkovil - John Wilely& Sons - 1987.

(3) Simulation Modeling with Pascal - RathM.Davis& Robert M O Keefe - Prentice HallInc. - 1989.

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