Learning Outcomes
Knowledge of the terminology of discrete event simulation.
Ability to analyze a physical system and to develop a simulation model.
Simulation model transformation using simulation environments (programming languages, Crystal Ball, Arena).
Ability of statistical analysis and explanation of simulation results.
Course Content (Syllabus)
Design, analysis and development of simulation, random numbers, random numbers generators and simulation sampling, statostocal analaysis of simulation results, Applications in industrial managementa and operational research. Practice on specialized simulation software.
Course Bibliography (Eudoxus)
Ρουμελιώτης Μάνος, Σουραβλάς Σταύρος, Τεχνικές προσομοίωσης: Θεωρία και Εφαρμογές, εκδόσεις Τζιόλας, 2011, ISBN 978-960-418-372-2.
Additional bibliography for study
Hybrid simulation models of production networks. Kouikoglou, Vassilis S., Kluwer Academic/Plenum Publishers, c2001.
Learning SIMUL8: the complete guide. Hauge, Jaret W. PlainVu, 2001.
Simulation with Arena. Kelton, W. David. McGraw-Hill Higher Education, c2007.
Simulation modeling and analysis. Law, Averill M. McGraw-Hill, c2007.
Discrete-event system simulation. Banks, Jerry. Prentice Hall, c2010.
Simulation modeling and analysis with arena. Altiok, Tayfur. Academic Press, c2007.
Discrete-event simulation : modeling, programming, and analysis. Fishman, George S. Springer, c2001.