| Course Unit Code | 342-6511/01 |
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| Number of ECTS Credits Allocated | 4 ECTS credits |
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| Type of Course Unit * | Compulsory |
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| Level of Course Unit * | Second Cycle |
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| Year of Study * | Second Year |
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| Semester when the Course Unit is delivered | Winter Semester |
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| Mode of Delivery | Face-to-face |
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| Language of Instruction | Czech |
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| Prerequisites and Co-Requisites | Course succeeds to compulsory courses of previous semester |
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| Name of Lecturer(s) | Personal ID | Name |
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| DOR028 | doc. Ing. Michal Dorda, Ph.D. |
| Summary |
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| Discrete simulation is a robust tool for solving a number of problems in technical practice, when classical analytical methods fail. The content of the course is focused on gaining a theoretical basis for discrete simulation, as well as on gaining practical experience in creating discrete simulation models of selected problems from logistics using Witness software. |
| Learning Outcomes of the Course Unit |
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| The course thematically follows the course Computer Simulation of Logistics Processes I and further develops the knowledge gained in this course. The student is acquainted in more detail with the simulation software Witness and its other parts and is able to apply this knowledge in creating simulation models of logistics systems and processes. Furthermore, attention is paid to selected methods of statistical data processing, so that the graduate is able to apply these methods in the preparation of data input to the simulation model and in the evaluation of simulation results. |
| Course Contents |
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1) Summary of knowledge from the field of discrete simulation.
2) Witness simulation software - summary of existing knowledge - basic elements and their settings, basic input and output rules, basic functions and probability distribution in Witness.
3) Queueing systems and their role in logistics.
4) Possibilities of modeling and simulation of queueing systems in Witness software.
5) Witness simulation software - use of path and conveyor elements for modeling the movement of components.
6) Witness simulation software - more advanced functions in Witness and possibilities of their practical application.
7) Witness simulation software - user-programmed functions and their practical examples.
8) Witness simulation software - creation of user-defined probability distributions.
9) Witness simulation software - tools for data import and export.
10) Witness simulation software - experimenting with a model.
11) Estimates of probability distribution parameters.
12) One-sample tests of statistical hypotheses.
13) Two-sample tests of statistical hypotheses.
14) Reserve. |
| Recommended or Required Reading |
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| Required Reading: |
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Introduction to logistics systems planning and control [online]. Hoboken: Wiley, 2005 [cit. 2021-02-25]. ISBN 0-470-01404-0.
ZEIGLER, Bernard P., PRAEHOFER, Herbert a KIM, Tag Gon. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, c2000. ISBN 0-12-778455-1.
SOKOLOWSKI, John A. a BANKS, Catherine M., ed. Principles of modeling and simulation: a multidisciplinary approach [online]. Hoboken: John Wiley & Sons, 2008 [cit. 2021-02-25]. ISBN 978-0-470-40356-3. |
Studijní opory k předmětu - http://homel.vsb.cz/~dor028/Opory/
ŠIROKÝ, Jaromír. Aplikace počítačů v provozu vozidel. Ostrava: VŠB - Technická univerzita Ostrava, 2005. ISBN 80-248-0768-8.
PAVELKA, Lubomír a DOLEŽALOVÁ, Jarmila. Pravděpodobnost a statistika. 2. vyd. Ostrava: VŠB - Technická univerzita Ostrava, 1999. ISBN 80-7078-976-X.
Introduction to logistics systems planning and control [online]. Hoboken: Wiley, 2005 [cit. 2021-02-25]. ISBN 0-470-01404-0.
ZEIGLER, Bernard P., PRAEHOFER, Herbert a KIM, Tag Gon. Theory of modeling and simulation: integrating discrete event and continuous complex dynamic systems. 2nd ed. San Diego: Academic Press, c2000. ISBN 0-12-778455-1.
SOKOLOWSKI, John A. a BANKS, Catherine M., ed. Principles of modeling and simulation: a multidisciplinary approach [online]. Hoboken: John Wiley & Sons, 2008 [cit. 2021-02-25]. ISBN 978-0-470-40356-3. |
| Recommended Reading: |
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| BENNETT, B. S. Simulation fundamentals. London: Prentice Hall, 1995. ISBN 0-13-813262-3. |
NOSKIEVIČ, Petr. Simulace systémů. Ostrava: Vysoká škola báňská, 1992. ISBN 80-7078-112-2.
NOVÁK, Vladimír a ZÍTEK, Pavel. Praktické metody simulace dynamických systémů. Praha: SNTL - Nakladatelství technické literatury, 1982. |
| Planned learning activities and teaching methods |
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| Lectures, Tutorials |
| Assesment methods and criteria |
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| Task Title | Task Type | Maximum Number of Points
(Act. for Subtasks) | Minimum Number of Points for Task Passing |
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| Credit and Examination | Credit and Examination | 100 (100) | 51 |
| Credit | Credit | 35 | 20 |
| Examination | Examination | 65 | 31 |