Learning the capabilities of modern simulation systems, understanding the modeling and simulation methodologies, familiarizing students and future engineers with simulation application development environments, and utilizing the know‐how in developing support applications for industrial enterprise production systems.

• Basic concepts, the nature of the simulation, the structure of a simulation model, modeling systems, advantages and disadvantages.
• Elements and organization of a partial simulation model, system specifications and model performance, distributed simulation and combined continuous / partial simulation.
• Simulation software and simulation languages, model development approaches, comparisons, validations and tests of the simulation model’s validity and effectiveness.
• Statistical procedures, standard and probability distributions, comparisons of the results of simulation experiments and the initial system specifications.
• The objectives of simulation in industrial production, special simulation software for industrial applications, case studies and use of quality simulation applications of industrial production systems, application development,
  description and analysis of problems and simulation results.

Suggested Literature

•  “Simulation Modeling and Arena”, Manuel D. Rosseti, John Wiley & Sons, 2015.
• “Simulation with Arena”, David W. Kelton, McGraw‐Hill Higher Education, 2014.
• “Discrete Event System Simulation”, Jerry Banks, John S. Carson, Barry L. Nelson, David M. Nicol, Prentice Hall, 2010.
• “Simulation Modeling and Analysis with Arena”, Tayfur Altiok, and Benjamin Melamed, Academic Press, 2007.
   “Simulation with Arena”, David Kelton., Randall Sadowski, Deborah Sadowski, 2nd ed., McGraw Hill,2002
•  “Simulation Modeling & Analysis”, Averill M. Law and W. David Kelton., 3rd ed., McGraw‐Hill, 2000
•  “Discrete‐Event System Simulation”, J. Banks, J. S. Carson, B. L. Nelson, Prentice‐Hall, 1996
•  “Modeling and Simulation”, HartmutBossel, A. K. Peters Ltd, 1994
• “Discrete Systems Simulation”, B. Khoshnevis, McGraw‐Hill, 1994
   “Modeling and Analysis of Manufacturing Systems”, R.G. Askin and C.R Standridge, John Wiley & Sons, 1993
• “Simulation Modeling & Analysis”, Averill M. Law and W. David Kelton., 2nd ed., McGraw‐Hill, 1991
• “Computer Modelling for Discrete Simulation”, Michael Pidd, John Wiley & Sons, 1989
• “How to write simulations using microcomputers”, D. Ellison, J.C. Tunnicliffe Wilson, McGraw‐Hill, 1984

 Related academic journals:

• International Journal of Modeling, Simulation, and Scientific Computing
•  Simulation Modeling Practice and Theory
• Scientific Modeling and Simulation
•  International Journal of Simulation and Process Modeling
• International Journal of Engineering Systems Modeling and Simulation

Greek

Lectures