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Lecturer(s)
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Friebel Ludvík, Ing. Ph.D.
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Course content
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Lecture topics: 1. Simulation models, their specific properties, comparison with analytical models, classification of models, use of simulation in business practice, Monte Carlo method. 2. Variability of business processes, the possibility of its modeling. Generating random numbers, linear congruence generators, randomness tests, generating values of random variables. 3. Dynamic properties of systems, simulation of discrete events. 4. Designing simulation experiments, replication method, group average method, regenerative method, statistical analysis of results, variance reduction methods. 5. Comparison of systems, optimization. System dynamics, Markov processes. 6. Examples of simulation application. Supply, logistics, queing system, project management. 7. Simulation software, simulation systems @RISK and SIMUL8. Seminars topics 1. Introduction to the course, assessment, basic terminology. 2. Monte Carlo and Latin Hypercube method. 3. Variability modeling. 4. Generating values of random variables. 5. Randomness tests. 6. Assigning a seminar works. 7. Dynamic properties of systems. 8. Designing simulation experiments 9. Simulation models in supply and logistics 10. Simulation models in queing system 11. Simulation models in the field of project management 12. Simulation in the field of quality management 13. Statistical evaluation of results provided by simulation models 14. Independent work and evaluation of seminar work.
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Learning activities and teaching methods
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Monologic (reading, lecture, briefing), Work with multi-media resources (texts, internet, IT technologies)
- Semestral paper
- 25 hours per semester
- Class attendance
- 31.5 hours per semester
- Preparation for classes
- 28 hours per semester
- Preparation for credit
- 20 hours per semester
- Preparation for exam
- 35 hours per semester
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Learning outcomes
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Students will become familiar with the principles of constructing simulation models of complex dynamic and probabilistic business systems, master simulation modeling using simulation software, and become familiar with the methodology of designing simulation experiments and statistical analysis of their results.
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Prerequisites
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Prerequisites: KMI/TPS1, TPS1A Theory of Probability and Statistics 1
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Assessment methods and criteria
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Combined exam, Seminar work
Credit requirements: Obtaining at least 8 points out of 12 from the seminar and independent work, a maximum of 6 points for the seminar work, a maximum of 6 points for the independent work. Exam requirements: Exam focused on knowledge from lectures and basic skills from exercises. The overall grade is based on the results of the seminar work, the test and the final exam, which consists of a written and an oral part.
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Recommended literature
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Dlouhý, M. Simulace podnikových procesů. Brno: Computer Press, 2007. ISBN 978-80-251-1649-4.
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Law, A. Simulation Modeling and Analysis. New York: McGraw-Hill Higher Education978-0073401324, 2015. ISBN 978-0073401324.
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