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Apr 16, 2024
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IE 483 - Advanced Simulation Modeling3 lecture hours 0 lab hours 3 credits
Course Description
This course continues the material presented in IE 383 (Simulation) and focuses on statistical concerns. Emphasis is placed on the analysis of the statistical nature of simulation. Probability distributions are examined for appropriateness and data fit. Run length is determined for appropriateness and confidence intervals are used to describe the output. (prereq: IE 383 )
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Use intermediate simulation modeling techniques
- Incorporate transporters and conveyors into models
- Build and test a random number generator
- Generate random variates
- Model discrete/continuous systems
- Perform steady-state analysis of simulation models
- Employ variance reduction techniques in models
- Conduct a comprehensive simulation study, including a final presentation and technical paper
Prerequisites by Topic
- Basic knowledge of discrete-event simulation modeling
Course Topics
- Introduction to simulation
- Simulation language and modeling construct review
- Intermediate modeling and steady-state analysis
- Verification & validation and entity transfer
- Transporters and conveyors
- Discrete/continuous systems
- Random number generation
- Output variance reduction
- Designing and conducting simulation experiments
- Project reports
Coordinator
Dr. Aaron Armstrong
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