System Modeling and Simulation
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
- Introduction to discrete-event system simulation
- Simulation examples in spreadsheet
- General principles and introduction to a discrete-event simulation software
- Introduction to a discrete-event simulation software
- Statistics models in simulation
- Queueing models
- Review materials Chapter 1—6
- Simulation project
- Random-number generation
- Random-variate generation
- Input modeling
- Verification, calibration, and validation of simulation models
- Estimation of absolute performance
- Estimation of relative performance
- Simulation of manufacturing and material-handling systems.
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