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Lecturer(s)
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Vais Jiří, doc. Ing. Ph.D.
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Course content
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The course acquaints students with the problematics of operational research and its applications for use in the company environment. 1. General overview of operational research methods, modeling, task classification 2. Mathematical programming 3. Optimization analysis 4. Distribution models of linear programming I. 5. Distribution models of linear programming II. 6. Distribution models of linear programming III. 7. Network analysis methods I. 8. Network analysis methods II. 9. Theory of mass service 10. Recovery theory, line balancing methods, sequential models 11. Game theory 12. Localization models 13. Modern approaches to operational research
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Learning activities and teaching methods
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Interactive lecture, Lecture with practical applications, Discussion, Instruction based on dialogue
- Contact hours
- 52 hours per semester
- Individual project (40)
- 20 hours per semester
- Preparation for an examination (30-60)
- 45 hours per semester
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| prerequisite |
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| Knowledge |
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| prerequisite for the course is an elementary knowledge of mathematical analysis and algebra |
| describe and explain analytical methods for description of business processes |
| use theoretical knowledge independently in the field of industrial engineering, project management, algebra |
| provide clear and convincing information to experts and laymen about the description of selected business processes using mathematical tools |
| Skills |
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| apply independently own knowledge of the theoretical fundamentals of operational research to solve practical problems in the field of business process analysis |
| obtain additional professional skills indepentently on the basis of practical experience and their evaluation |
| analyze selected business processes |
| Competences |
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| N/A |
| N/A |
| N/A |
| learning outcomes |
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| Knowledge |
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| to know the issue of operational research and its applications for use in the company environment |
| to know the software environment for solving operational research tasks |
| obtain further professional knowledge independently by studying theoretical knowledge of the field of operational research |
| Skills |
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| apply own theoretical knowledge in the field of operational research and application of its methods |
| analyze simple model situations using selected operational research methods |
| independently develop models related to the application of operational research methods in industrial practice |
| interpret the results obtained by calculation in a comprehensible way to experts and laymen |
| obtain additional professional skills independently on the basis of practical experience in the field |
| teaching methods |
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| Knowledge |
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| Interactive lecture |
| Discussion |
| Skills |
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| Practicum |
| Discussion |
| Multimedia supported teaching |
| Competences |
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| Interactive lecture |
| assessment methods |
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| Knowledge |
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| Oral exam |
| Test |
| Seminar work |
| Skills |
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| Skills demonstration during practicum |
| Oral exam |
| Individual presentation at a seminar |
| Competences |
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| Oral exam |
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Recommended literature
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Dostál, Petr; Sojka, Zdeněk; Rais, Karel. Pokročilé metody manažerského rozhodování. Praha, 2006.
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Edl, Milan; Kudrna, Jiří. Metody průmyslového inženýrství. [Plzeň] : SmartMotion, 2013. ISBN 978-80-87539-40-8.
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Fiala, Petr. Operační výzkum : nové trendy. 1. vyd. Praha : Professional Publishing, 2010. ISBN 978-80-7431-036-2.
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GROS, I. Kvantitativní metody v manažerském rozhodování. 1. vyd. Praha : Grada Publishing, 2003. ISBN 80-247-0421-8.
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JABLONSKÝ, J. Operační výzkum : kvantitativní modely pro ekonomické rozhodování. 2. vyd. Praha : Professional Publishing, 2002. ISBN 80-86419-42-8.
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Plevný, Miroslav; Žižka, Miroslav. Modelování a optimalizace v manažerském rozhodování. Vyd. 2. Plzeň : Západočeská univerzita, 2010. ISBN 978-80-7043-933-3.
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