Prerequisites: Probability Distributions, Any Programming Language.
Outline:
1. Simulation and Simulation Software - Systems – Models – Types, Components, Steps in Modeling –Simulation of statistical queuing, manufacturing and material handling.
2. Useful Statistical Models – Discrete Distribution – Continuous Distributions – Poisson – Empirical Distribution – Manufacturing and Material Handling System – Models – Goals and Performances Measure – Issues – Queuing System – Characteristics – Transient and Steady-State Behaviour of Queues – Long-Run Measures – Infinite – Population Markovian Models.
3. Random Numbers - Generation of Pseudo Random Numbers – Mid-Square Method – Linear Congruential Generators – Generating Random Variates from Continuous and Discrete Probability Distributions. System dynamics and object oriented approach in simulation.
4. Generalization of Growth Models – System Dynamics Diagram – Decision Function – Multi Segment Model – Representation of Time Delays – Inventory and Flow Distribution Systems – World Model – Object Oriented Approach – Rule Based Approaches– Casual Loops – Flow Diagrams – Levels and Rates – Simple examples of Animation.
5. Analysis – Input – Output – Verification and Validation of Simulation Models – Comparison and Evaluation of Alternative System Design.
Books:
1. J.Banks, John.S.Carson and B.L.Nelson, "Discrete Event System Simulation", 1996, PHI
2. Geoffrey Gordon, "System Simulation", 2nd Edn. 1989, PHI
