To provide students with knowledge on discrete event simulation modeling and its application to manufacturing, logistic and services systems. To provide students with modelling and software capabilities to apply simulation to manufacturing, logistic and services systems

Introduction to simulation Overview of simulation modelling, introduction to the basic concepts of discrete event simulation. The simulation process steps involved in carrying out a simulation project. Comparison of discrete event simulation with continuous simulation and system dynamics. Computer simulation packages Overview of available computer packages, description of representative packages, computer implementation issues. Development of programming skills to apply simulation to manufacturing, logistic and services systems using a generic simulation package. Provide an overview of available simulation software. Statistical aspects of simulation Input analysis, random number generation, output analysis, experimental design. Queuing Models Provide comparison of simulation with stochastic mathematical models through the introduction of basic queuing models. Systems Design Using simulation students will carry out systems (manufacturing, logistic and services systems) design assignments..

1. Critique and be able to explain the role of simulation modeling in systems design and analysis. 2. Be able to apply the steps of a simulation project. 3. Be able to develop simulation models of basic manufacturing, logistics and service systems. 4. Be able to analyse statistically input data, output data analysis. 5. Be able to apply basic queuing theory and evaluate its advantages/disadvantages when compared to discrete event simulation.

N/A

Use of computers.

The module will be delivered through formal lectures and computer laboratories.