IE3781 – Systems Simulation Laboratory Syllabus Regulation 2021 Anna University

Subject code IE3781 deals with semester VI of the Systems Simulation Laboratory Syllabus of Anna University based on regulation 2021. In this article, we would like to discuss the syllabus of Systems Simulation Laboratory. Let’s see.

We aim to provide the unit-wise IE3781 – Systems Simulation Laboratory syllabus. It will avoid confusion for students during the examination period. We added the required textbooks and references to the syllabus. I hope this information is useful. You better be quick to read the syllabus prior than the others and prepare well for examinations. Kindly read this article thoroughly and then share it with your classmates. A decent qualified certificate from the university will help you to reach heights The following syllabus will assist you.

If you want to know more about the syllabus of B.E. Industrial Engineering and Management connected to an affiliated institution’s four-year undergraduate degree program. We provide you with a detailed Year-wise, semester-wise, and Subject-wise syllabus in the following link B.E. Industrial Engineering and Management Syllabus Regulation 2021 Anna University.

Aim Of Objectives:

  • Develop C program to generate and number and random variates.
  • Develop C program to test random number and random variates.
  • Apply Montecarlo simulation for random walk problem and paper vendor problem
  • Develop simulation model using simulation software for different queuing models.
  • Develop simulation model using simulation software for Inventory models.

List Of Experiments:

  1. Generate Random Number by Mid Square, Midpoint and Congruential method using ‘C’ program.
  2. GeneratePoissonrandomVariate, uniform random Variate using ‘C’ program.
  3. GenerateNormalrandomVariate, Binomial random Variate using ‘C’ program.
  4. Testing random numbers and random variates for their uniformity.
  5. Testing random numbers and random variates for their independence.
  6. Solve random walk problem using Monte Carlo simulation.
  7. Solve paper vendor problem using Monte Carlo simulation.
  8. Solve single server queuing model using simulation software package.
  9. Solve multi server queuing model using simulation software package.
  10. Solve inventory model using simulation software package.

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