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Lecturer(s)
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Chramcov Bronislav, doc. Ing. Bc. Ph.D.
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Vašek Lubomír, doc. Ing. CSc.
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Course content
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- General procedures for solving simulation studies of discrete systems, methods for obtaining input quantities and their analysis, analysis of output quantities and simulation experiments, methods of validation and verification of the simulation model. - Random numbers, methods for generating and testing values of random variables. - Petri nets, Markov chains, queue theory. - Discrete optimization methods, Monte Carlo method. - Principles of using simulation to support decision-making and visualization, analysis and prediction of a system behavior or solutions specific problems (optimization of business processes, production planning, and management, minimization of warehouses and inventory, production logistics, design of production systems, identification and elimination of system bottlenecks, optimization of service and transport systems, etc.) - Simulation languages and simulation software.
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Learning activities and teaching methods
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Methods for working with texts (Textbook, book), Individual work of students
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| teaching methods |
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| Knowledge |
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| Individual work of students |
| Individual work of students |
| Methods for working with texts (Textbook, book) |
| Methods for working with texts (Textbook, book) |
| assessment methods |
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| Conversation |
| Conversation |
| Analysis of works made by the student (Technical products) |
| Analysis of works made by the student (Technical products) |
| Analysis of seminar paper |
| Analysis of seminar paper |
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Recommended literature
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Bangsow, Steffen. Use cases of discrete event simulation: appliance and research. Springer, 2012. ISBN 978-3-642-28776-3.
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BANKS, Jerry, John S. CARSON, Barry L. NELSON a David M. NICOL. Discrete-Event System Simulation. Prentice Hall, 2009. ISBN 978-0-13-606212-7.
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GROS, Ivan. Velká kniha logistiky. Praha: Vysoká škola chemicko-technologická v Praze, 2016. ISBN 978-80-7080-952-5.
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LAW, Averill M. Simulation modeling and analysis. New York: McGraw-Hill Education, 2015. ISBN 978-1-259-25438-3.
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RUBINSTEIN, Reuven Y. a Dirk P. KROESE. Simulation and the Monte Carlo method. ohn Wiley & Sons, Inc., Hoboken, New Jersey, 2008. ISBN 978-0-470-17794-5.
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ŘEHAK, J. a O. BROM. SPSS - praktická analýza dat. Brno: ComputerPress, 2015.
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