Introduction to systems and modeling - discrete and continuous system - Limitations of simulation, areas of application - Monte Carlo Simulation. Discrete event simulation and their applications in queueing and inventory problems.
Random number generation an their techniques - tests for random numbers.
Random variable generation.
Analysis of simulation data. - Input modeling – verification and validation of simulation models – output analysis for a single model.
Simlation languages and packages - FORTRAN, C , C++, GPSS, SIMAN V, MODSIM III,ARENA,QUEST,VMAP - Introduction to GPSS – Case studies - Simulation of manufacturing and material handling system.
REFERENCES
1) Jerry Banks and John S, Carson II “Discrete Event system Simulation”, Prentice Hall,
1984.
2) Geoffrey Gordon., “System Simulation”, Prentice Hall, 1978.
3) Francis Neelamkovil, “Computer Simulation and Modelling”, John Willey and sons,
1987.
