SYSTEM MODELING AND SIMULATION (4 Credits)

Learning Outcomes:

On successful completion of this Course, students will be able to: Identify applications of the discrete-event simulation (DES) approach; Employ discrete simulation models; Estimate statistical distributions during data input process; Analyze output data from simulations and draw conclusion based on the analysis; Summarise major steps in simulation; Prepare simulation project report.

Topics:

1. Introduction to discrete-event system simulation;
2. Simulation examples in spreadsheet;
3. General principles and introduction to a discrete-event simulation software;
4. Introduction to a discrete-event simulation software;
5. Statistics models in simulation;
6. Queueing models;
7. Review materials Chapter 1—6;
8. Simulation project;
9. Random-number generation;
10. Random-variate generation;
11. Input modeling;
12. Verification, calibration, and validation of simulation models;
13. Estimation of absolute performance;
14. Estimation of relative performance;
15. Simulation of manufacturing and material-handling systems.