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.


  1. Jerry Banks and John, S. Carson II, ‘Discrete – Event System Simulation’, Prentice Hall Inc., NewJersey, 1984.

  2. Geoffrey Gordon, ‘System simulation’, Prentice Hall, NJ, 1978.

  3. Law, A.M. and W.D. Keltor, ‘Simulation modelling analysis’, McGraw Hill, 1982.9