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Mar 13, 2025
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IND 4840 - Advanced Simulation3 lecture hours 0 lab hours 3 credits
Course Description
This course builds upon the materials presented in IND 4830 (Process Simulation) applied to more complex problems using more advanced methods. Emphasis is placed on the analysis of the statistical nature of simulations and their application to real situations. Probability distributions are examined for appropriateness and data fit. Run length is determined for appropriateness and confidence intervals are used to describe the output. Random variables are designed and analyzed with regard to their suitability for particular situations. (prereq: IND 4830 ) (quarter system prereq: IE 383)
Course Learning Outcomes
Upon successful completion of this course, the student will be able to:
- Apply intermediate simulation modeling techniques
- Incorporate transporters and conveyors into models
- Build and test a random number generator
- Generate custom 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
- Process modelling
- Stochastic processes
- Linear and non-linear optimization
Course Topics
- Simulation language and modeling construct review
- Intermediate modeling and steady-state analysis
- Verification and validation and entity transfer
- Transporters and conveyors
- Discrete/continuous systems
- Random number generation
- Output variance reduction
- Designing and conducting simulation experiments
Coordinator
Dr. Aaron Armstrong
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