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Course info
KPV / SVSA
:
Course description
Department/Unit / Abbreviation
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KPV
/
SVSA
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Academic Year
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2023/2024
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Academic Year
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2023/2024
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Title
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Simulacion of Manufac. Systems and Proc.
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Form of course completion
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Exam
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Form of course completion
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Exam
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Long Title
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Simulation of Manufacturing Systems and Processes
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Accredited / Credits
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Yes,
6
Cred.
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Type of completion
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Combined
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Type of completion
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Combined
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Time requirements
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Lecture
2
[Hours/Week]
Tutorial
3
[Hours/Week]
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Course credit prior to examination
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Yes
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Course credit prior to examination
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Yes
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Included in study average
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YES
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Language of instruction
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English
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Occ/max
|
|
|
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Automatic acceptance of credit before examination
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Yes in the case of a previous evaluation 4 nebo nic.
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Summer semester
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0 / -
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0 / -
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0 / -
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Included in study average
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YES
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Winter semester
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0 / -
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0 / -
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0 / -
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Repeated registration
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NO
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Repeated registration
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NO
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Timetable
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Yes
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Semester taught
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Summer semester
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Semester taught
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Summer semester
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Minimum (B + C) students
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10
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Optional course |
Yes
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Optional course
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Yes
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Language of instruction
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English
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Internship duration
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0
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No. of hours of on-premise lessons |
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Evaluation scale |
1|2|3|4 |
Periodicity |
každý rok
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Evaluation scale for credit before examination |
S|N |
Periodicita upřesnění |
|
Fundamental theoretical course |
No
|
Fundamental course |
Yes
|
Fundamental theoretical course |
No
|
Evaluation scale |
1|2|3|4 |
Evaluation scale for credit before examination |
S|N |
Substituted course
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KPV/SVS
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Preclusive courses
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N/A
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Prerequisite courses
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N/A
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Informally recommended courses
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N/A
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Courses depending on this Course
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N/A
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Histogram of students' grades over the years:
Graphic PNG
,
XLS
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Course objectives:
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To introduce the students to the methodology, methods and utilization of the discrete-event simulation.
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Requirements on student
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Credit - elaboration and presentation of the simulation project in simulation system (Plant Simulation)
Examination - written test, combined examination
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Content
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The course introduces students to methodology, methods and practical application of simulation based on the principles of discrete simulation.
1. Introduction to simulation, use of simulation methods
2. Fundamentals of systems theory for simulation
3. Simulation models, examples
4. Creation of simulation models, examples
5. Simulation software
6. Random number generators
7. Basics of simulation language, classes, objects
8. Basics of simulation language, lists, examples
9. Simulation model control, timeline
10. Simulation model control, processes
11. Principles of distributed simulation
12. Experiment control, optimization algorithms - I.
13. Experiment control, optimization algorithms - II.
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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-
Basic:
Banks Jerry, Carson John S., Nelson Barry L., Nicol David M. Discrete-Event System Simulation: Pearson New International Edition. Pearson Education Limited, USA, 2013. ISBN 978-1-292-02437-0.
-
Basic:
Global Optimization Algorithms - Theory and Application
(Weise, Thomas)
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Basic:
Tecnomatix Plant Simulation Modeling and Programming by Means of Examples (Second Edition)
(Bangsow, Steffen)
( DOI: https://doi.org/10.1007/978-3-030-41544-0 )
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Extending:
Byoung Kyu Choi, DongHun Kang. Modeling and Simulation of Discrete Event Systems. Wiley, 2013. ISBN 978-1118386996.
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Extending:
Altiok, Tayfur; Melamed, Benjamin. Simulation modeling and analysis with Arena. Burlington : Academic Press, 2007. ISBN 978-0-12-370523-5.
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Extending:
Chung, Christopher A. Simulation modeling handbook : a practical approach. Boca Raton : CRC Press, 2004. ISBN 0-8493-1241-8.
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Recommended:
Simulace výrobních systémů a procesů
(Ulrych, Zdeněk)
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Recommended:
Bangsow, Steffen. Tecnomatix Plant Simulation : modeling and programming by means of examples. Softcover reprint of the original 1st edition 2016. 2016. ISBN 978-3-319-36449-0.
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On-line library catalogues
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Graduate study programme term essay (40-50)
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40
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Contact hours
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65
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Preparation for an examination (30-60)
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40
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Presentation preparation (report) (1-10)
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5
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Team project (50/number of students)
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25
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Total
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175
|
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Prerequisites
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Knowledge - students are expected to possess the following knowledge before the course commences to finish it successfully: |
describe the behavior of the system using an algorithm |
understand simple programming code written in some programming language |
work independently and be able to further self-study |
Skills - students are expected to possess the following skills before the course commences to finish it successfully: |
independently use theoretical knowledge in the field of industrial engineering |
on the basis of the acquired knowledge to suggest possible solutions to the given problem |
Competences - students are expected to possess the following competences before the course commences to finish it successfully: |
N/A |
N/A |
N/A |
|
Learning outcomes
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Knowledge - knowledge resulting from the course: |
explain the principles of discrete event and continuous simulation |
explain the principles of how discrete event simulation models work |
explain the individual steps associated with the solution of simulation projects |
explain the principles of optimization algorithms used in discrete event simulation |
Skills - skills resulting from the course: |
create a simple discrete event simulation model |
analyze the modeled system for simulation purposes |
verify the proposed solutions resulting from the analysis using discrete event simulation |
Competences - competences resulting from the course: |
N/A |
N/A |
N/A |
|
Assessment methods
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Knowledge - knowledge achieved by taking this course are verified by the following means: |
Written exam |
Skills - skills achieved by taking this course are verified by the following means: |
Seminar work |
Project |
Competences - competence achieved by taking this course are verified by the following means: |
Written exam |
Seminar work |
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Teaching methods
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Knowledge - the following training methods are used to achieve the required knowledge: |
Lecture supplemented with a discussion |
Multimedia supported teaching |
Interactive lecture |
E-learning |
Skills - the following training methods are used to achieve the required skills: |
Project-based instruction |
Individual study |
E-learning |
Competences - the following training methods are used to achieve the required competences: |
Lecture supplemented with a discussion |
Project-based instruction |
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