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ISyE 3044

3-0-3. Prerequisites: ISyE 2028, ISyE 3232. Discrete event simulation
methodology emphasizing the statistical basis for simulation modeling and analysis.
Overview of computer languages and simulation design. Applications include a variety of
industrial situations, including manufacturing and logistics simulations.
FACULTY: Alexopoulos, Andradottir, Banks, Goldsman, others.
Integrated within the lecture format will be coverage of computer skills (including
hands-on training) and discussions pertaining to a term project as well as other major
homework assignments. The primary simulation language covered in the class would be
1 Introduction (2 lectures)
Problems treated by simulation, what is involved, tradeoff vs. other
techniques, etc.
2 Modeling and Basic Examples (8 lectures)
Alternative worldviews, level of detail, simulation model classes,
statistical techniques for modeling uncertain quantities, etc.
3 How Does Simulation Work? (3 lectures)
Random number generation, random variate generation, event lists, etc.
4 Analysis of Data Generated by a Simulation Program (4 lectures)
Various types of simulation experiments, statistical techniques, etc.
5 Introduction to Design Using Simulation (3 lectures)
Basic techniques for comparing alternatives, common random numbers, ..
6 Case Studies from a Variety of Application Areas (6 lectures)
Manufacturing, logistics, transportation, communications, etc.
7 Conclusions and Review (2 lectures)
1. Extensive knowledge and experience in simulation modeling.
2. Thorough understanding of how to design a simulation experiment that
will accomplishment the objectives of the study at hand,
3. Substantial computer skills.