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Lecturer(s)
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Koblasa František, Ing. Ph.D.
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Vavruška Jan, Ing. Ph.D.
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Course content
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1. Industry 4.0 philosophy, Digital Factory, Simulation twin, simulation meaning, principles, benefits and opportunities of simulation. 2. Models of real systems for simulation, scope and detail of models, simulation procedures (preprocessing, processing, postprocessing), simulation trends. 3. Input data and their analysis, model quality, simulation accuracy, relevance. 4. Real and abstract system, process and process map, process measurability. Types of simulation models and simulation Tools. Simulation application possibilities. 5. Project definition, data and analysis, simplification for modeling, constraints, factors and parameters, purpose function, model validation and verification. 6. Definition of model objects, links between objects, model logic and control parameters, creation of functional subgroups. 7. Analytical and simulation models, calendar of events, mass service systems, production system stochastics. 8. Processing of simulation data outputs. System throughput, system binding, waiting, blocking, abnormalities and disorders, human factor. Data export options, interpretation of results. 9.-12. Dynamic simulation of material flows and system elements. SW Witness 13. Advanced models, dynamic simulation, systematic design of experiments and optimization. 14. Examples of realized simulation projects.
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Learning activities and teaching methods
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Dialogue metods(conversation,discussion,brainstorming), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments), Project teaching, Group consultation, Students' portfolio, Task-based study method, Students' self-study
- Home preparation for classes
- 34 hours per semester
- Preparation for credit
- 15 hours per semester
- Preparation for exam
- 45 hours per semester
- Class attendance
- 56 hours per semester
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Learning outcomes
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The course introduces students to the basics of discrete event simulation. Introduces them to issues in the field of Digital Factory (DF), Digital Twin. Simulation tools in the field of queuing theory, material flows, logistics and ergonomics are presented. The methodological procedure of simulation study and the possibility of using optimization methods with the support of the systematic design of experiments are explained. Subsequent interpretation of simulation outputs is discussed. The condition is the independent elaboration of the project work in the selected simulation system. Exercises are focused on the practical application of selected methods in simulation studies.
Students will acquire theoretical knowledge and practical skills in the field of modeling and experimentation whit manufacturing and logistics systems.
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Prerequisites
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To complete this course is not necessary to complete any other courses.
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Assessment methods and criteria
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unspecified
Successful defense of semestral work. Attendance 75% and active participation in courses.
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Recommended literature
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BANKS, J. Handbook of Simulation: Principles, Metodology, Advances, Applications, and Praktice. USA: Engineering &Management Press, 1998. ISBN 0-471-13403-1.
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Dlouhý, M., Fábry, J., Kuncová, M., Hladík, T. Simulace podnikových procesů. Brno: Computer Press, a.s., 2007.
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FU, Michael. Handbook of simulation optimization. Springer, 2016. ISBN 978-1-4939-1384-8.
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KŮS Z., GLOMBÍKOVÁ V., HALASOVÁ A. Simulace výrobních systémů. Liberec: Technická univerzita v Liberci, 2002. ISBN 80-7083-642-3.
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MANAGEMENTMANIA.COM. Co - když analýza (What-if Analysis). ManagementMania.com, 2013.
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MANLIG, František. Aspekty a aplikační možnosti moderních simulačích systémů. (habilitační práce). Liberec: TU v Liberci, 1999.
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MANLIG, František. Využití počítačové simulace výrobních systémů. Liberec: TU v Liberci, 2014. ISBN 978-80-7494-162-7.
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SIEMENS PLM SOFTWARE Inc. Plant Simulation Basic Students Guide. USA, 2009.
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