People Innovation Excellence

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

  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.

 


Published at : Updated

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