Course Unit Code | 634-2009/02 |
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Number of ECTS Credits Allocated | 6 ECTS credits |
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Type of Course Unit * | Compulsory |
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Level of Course Unit * | First Cycle |
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Year of Study * | Third 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 | |
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| Prerequisities | Course Unit Code | Course Unit Title |
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| 714-2665 | Mathematics I |
| 714-2666 | Mathematics II |
Name of Lecturer(s) | Personal ID | Name |
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| LAM37 | Ing. Martin Lampa, Ph.D. |
Summary |
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The subject is the introduction to basics of modelling and principles of
optimalization of mono and multicriterion managerial decision making in
economical (industrial) systems. It is oriented to: mathematical programming
(especially the linnear one), analysis of interdisciplinary linkages, critical
path method, basics of queue theory and theory of stock in the industrial company processes.
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Learning Outcomes of the Course Unit |
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- student will be able to apply principles of mathematic programming (especially the linear one) to managerial decision making tasks,
- student will obtain the ability to model monocriterion and multicriteria managerial decision making tasks in industrial systems,
- student will learn how to solve relatively simple decision making tasks by application of exact methods,
- student will understand possibilities and limits of utilization of exact methods and routines in decision making processes in the industrial systems.
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Course Contents |
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1. Decision making process.
2. Exact elements in the decision making process in industiral company.
3. Linear programming - modeling and solving the problem in industrial systems.
4. Simplex method.
5. Monocriterial and Multicriterial optimalization.
6. Solving non-linear problems.
7. Simulation of solving optimalization problems in industrial company processes
8. Stochastic problems.
9. Dynamic programming.
10. CPM.
11. PERT.
12. Sequence problems.
13. Inventory Control.
14. Game theory.
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Recommended or Required Reading |
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Required Reading: |
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KUNC, M., J. MALPASS and L. WHITE. Behavioral Operational Research: Theory, Methodology and Practice. New York: Palgrave Macmillan, 2016. ISBN 978-1-13753-549-8.
KENNETH, D. L. and G. KLEINMAN. Applications of Management Science. New Jersey: Emerald Group Publishing Limited, 2015. ISBN 978-1-78441-211-1.
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GROS, I. a J. DYNTAR. Matematické MODELY pro manažerské rozhodování. Praha: Vysoká škola Chemicko-technologická, 2015. ISBN 978-80-7080-910-5.
JABLONSKÝ, J. Operační výzkum. Kvantitativní modely pro ekonomické rozhodování. Praha: Professional Publishing, 2011. ISBN 978-80-86946-44-3
FOTR, J. aj. Manažerské rozhodování. Praha: Ekopress, 2016. ISBN 978-80-87865-33-0.
KUNC, M., J. MALPASS and L. WHITE. Behavioral Operational Research: Theory, Methodology and Practice. New York: Palgrave Macmillan, 2016. ISBN-13 978-1137535498. |
Recommended Reading: |
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ANDERSON, D. R. Quantitative methods for business. Mason: South-Western Cengage Learning, 2010. ISBN 978-0-324-65181-2. |
PLEVNÝ, M. a M. ŽIŽKA. Modelování a optimalizace v manažerském rozhodování. Plzeň: Zapadočeská univerzita, 2010. ISBN 80-7043-435-X. |
Planned learning activities and teaching methods |
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Lectures, Tutorials, Project work |
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 | 21 |
Examination | Examination | 65 | 31 |