IM60027: Discrete Event System Simulation

IM60027
Course name	Discrete Event System Simulation
Offered by	Industrial & Systems Engineering
Credits	3
L-T-P	3-0-0
Previous Year Grade Distribution
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Semester	Autumn

Syllabus

Syllabus mentioned in ERP

Modelling: Discrete-event and process representations, High-level and low-level languages. Input Modeling: fitting distributions to data, selecting distributions without data, nonstationary arrival processes, multivariate input models. Output Analysis: point and interval estimation for means, probabilities and quantiles. Experiment Design: terminating vs. steady-state simulation, determining number of reps/batches for fixed precision, initial bias mitigation, use of common random numbers and antithetic variates. Variate Generation: pseudorandom number generators, inverse cdf transformation, nonstationary arrival processes, multivariate input models Using Simulation in Research: experiment within an experiment approach

Books •J. Banks, J. S. Carson, B. System Simulation, 3rd Ed., •A. M. Law and W. D. Kelton McGraw Hill International -

L. Nelson and D. M. Nicol (2001), Discrete Event Pearson Education International Series. (2000), Simulation Modeling and Analysis, 3rd Ed., Industrial Engg. Series.