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Simulation I

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What is simulation?

A (dynamic) simulation model is a model of a real world system that describes its behavior over time for the purpose of understanding, analyzing and optimizing that system. Simulations are used in a wide range of different applications like engineering, military, finance, and many more. In production and logistics simulations can be used to obtain good production or warehouse configurations as well as for disaster relief or healthcare purposes. The objective of a simulation is often to identify bottlenecks or inefficiencies. 

Course description:

The purpose of this course is to introduce students to simulation modeling and analysis which is an important decision support instrument in production and logistics.

Besides theoretical foundations, with a strong focus on queuing theory, the students will come into contact with a professional simulation software package (AnyLogic) based on which small example projects will be implemented, run and analyzed.


  1.  Simulation in general
  2.   Basic statistics
  3.   Simulation model validation
  4.   Random number generation
  5.   Distribution fitting
  6.   Queueing theory
  7.  Introduction to AnyLogic (“hands-on”)


  • Law, A.M.: Simulation Modeling & Analysis, McGraw-Hill.
  • Hillier, F.S., Lieberman, G. J.: Introduction to Operations Research, McGraw-Hill.






@ University of Vienna

Production and Operations Management with International Focus
Faculty of Business, Economics and Statistics
University of Vienna
Oskar-Morgenstern-Platz 1
A-1090 Vienna
T: +43-1-4277-379 52
F: +43-1-4277-837952
University of Vienna | Universitätsring 1 | 1010 Vienna | T +43-1-4277-0