Lecture: 2 hours

Exercise: 1 hours

Prerequisites: Stochastic Models in Operation Research (concurrent); Statistical

Analysis of Data (concurrent).

 

Goals:

• System theortic asspect of simulation

• Probabelistic and statistical foundations of simulation

• Balanced presentation of the stages in a successfull simulation project

• Implementation of simulation models in Arena

Topics:

1. Introduction, Discrete event simulation

2. Random number Generation

3. Preparing the input for simulation

4. Analyzing the output

5. Validation and verification

6. Comparing several configurations

7. Variance reduction techniques

8. Optimization by simulation