Authorised by Academic Registrar, April 1996
Objectives To introduce basic discrete event system modelling concepts; analyse various modelling approaches and develop ability to decide which approach is best for a particular problem; discuss the three-level hierachy and its application in each modelling approach; develop skills in constructing and running simulation models using simulation languages; develop understanding of the need for statistical analysis of simulation input and output data, design of simulation experiments using statistical methods, verification and validation, and develop ability to carry out these tasks; develop awareness and understanding in the importance for decision makers'involvement in all stages of the modelling process.
Synopsis This subject introduces students to modelling decision problems using discrete event simulation techniques. It aims to introduce the student to discrete event simulation techniques for solving problems where analytical and/or iterative methods are inappropriate; to make students aware of the need for statistical analysis of input data, simulation output and design of the simulation experiments; to introduce students to a variety of simulation languages. Topics include systems modelling and simulation, a variety of modelling approaches, sampling of probability distributions using pseudo-random number generators; discrete event systems modelling; an introduction to a variety of computer simulation languages - SIMSCRIPT II.5, SIMAN V; verification and validation of simulation models; analysis of input and output data, comparison and evaluation of alternative system designs; application of simulations and case studies. The subject is taught by lectures, tutorials, and computer workshops. Study guides are provided.
Assessment Assignments: 100%