Subject code IE3791 deals with semester VI of the Simulation Modeling and Analysis Syllabus of Anna University based on regulation 2021. In this article, we would like to discuss the syllabus of Simulation Modeling and Analysis. Let’s see.
We aim to provide the unit-wise IE3791 – Simulation Modeling and Analysis 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:
- Define the basics of simulation modeling and replicating the practical situations in organizations.
- Generate random numbers and random variates using different techniques.
- Develop simulation model using heuristic methods.
- Analysis of Simulation models using input analyzer, and output analyzer.
- Explain Verification and Validation of simulation model.
IE3791 – Simulation Modeling and Analysis Syllabus
Unit – I: Introduction
Systems – Modelling – types – systems components – Simulation basics.
Unit – II: Random Numbers/Variates
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
Steps on Design of Simulation Experiments – Development of models using of High-level language for systems like Queuing, Inventory, Replacement, Production, etc., – Model validation and verification, Output analysis.
Unit – IV: Simulation Languages
Need for simulation Languages – Comparisons & Selection of Languages –Study of any one of the languages.
Unit – V: Case Studies Using Simulation Languages
Waiting line models, inventory models, and production models.
References:
- David Kelton, Rondall P Sadowski and David T Sturrock, “Simulation with Arena”, McGraw Hill,2004.
- Jerry Banks, John S Corson, Barry.L. Nelson, David M. Nicol and P.Shahabudeen, Discrete Event Systems Simulation, Pearson Education, Fourth edition, 2007.
- Law AM and Kelton WD, Simulation Modelling and analysis, Tata McGraw Hill, 2003.
- Thomas J Schriber, “Simulation Using GPSS”, JohnWiley, 2002.
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