SIMULATION AND MODELING

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When simulation is the appropriate tools, Advantages and disadvantages of simulation, Areas of application, Systems and systems environment, Component of a system, Discrete and continuous system, Model of a system; Types of models, Discrete event system simulation, Steps in a simulation study, Simulation of queuing system, Simulation of inventory system, Other examples of simulation; Concepts in discrete-event simulation, List processing; Manufacturing and material handling simulations, Goals and performance measures, Issues in manufacturing and material handling simulation, Case studies of the simulation of manufacturing and material handling systems, Simulation and languages for manufacturing and material handling, Statistical models in simulation Useful statistical models, Discrete distributions, Continuous distributions, Poisson Processes, Empirical distributions, Characteristics of queuing systems, Queuing notation, Transient and steady-state behavior of queues, Long-run measures of performance of queuing systems, Steady-state behavior of infinite-population markovian models, Steady state behavior of finite-population models; Networks of queues, Properties of random numbers; Generation of pseudo-random numbers, Techniques for generating random numbers, Tests for random numbers.

Course Syllabus