Associate Professor, Department of Supply Chain and Information Management
Tel: 3963 5587
Examples of complex, discrete-event systems are all around us: hospitals, multiteller banks, automated manufacturing systems, airports, traffic control systems, etc. In order to efficiently manage and operate these systems, it is often necessary to apply simulation to study their performance. This course deals with this category of systems. Topics covered include modelling techniques, random number generators, Monte Carlo simulation, output data analysis, and sensitivity analysis.
Upon completion of this course, students should be able to: