Simulations of Production Systems

1st Level of Study, 3rd Year, Summer Semester

Upon successful completion of the course, students will be able to create computer models of discrete stochastic systems, verify their correctness, perform simulation experiments, analyze the obtained results, and draw conclusions that can be validated in practical applications with a satisfactory level of accuracy.

1. Definition of the simulation problem area.
2. Basic concepts and principles.
3. Formulation of simulation objectives.
4. Data acquisition and processing.
5. Conceptual model.
6. Computer model.
7. Model verification and validation.
8. Planning and evaluation of simulation experiments, optimization.
9. Simulation project.
10. Trends in simulation.

[1] Bober, P.: Simulácia výrobných systémov. 1. vyd., Košice: Technická univerzita v Košiciach, 2013. 73 s., ISBN 978-80-553-1486-0.

[2] Bober, P.: Simulácia výrobných systémov - návody na cvičenia. 1. vyd., Košice: Technická univerzita v Košiciach, 2018. 71 s., ISBN 978-80-553-2963-5.

[3] Gregor, M - Košturiak, J - Halušková, M.: Priemyslové inžinierstvo - simulácia výrobných systémov. Žilina: Jozef Blaha, 1997. 166 s. ISBN 80-966996-8-7

[4] Bučko, M.: Pravdepodobnosť a matematická štatistika, Bratislava: ALFA , 1990. 192 s. ISBN 80-05-00554-7