| Course Unit Code | 634-3006/02 |
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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 * | Second Cycle |
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| Year of Study * | First Year |
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| Semester when the Course Unit is delivered | Summer 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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| 634-3003 | Strategic Management |
| Name of Lecturer(s) | Personal ID | Name |
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| LAM37 | Ing. Martin Lampa, Ph.D. |
| Summary |
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The subject follows up the information gained in Exact methods of decision-making I. and expands the information by further methods of managerial decision-making. It mainly emphasises the cognitive function of mathematical modelling, various forms of postoptimalisation analysis, sensibility analysis and parametrisation of optimalisation tasks. It focuses on selection of decision-making criteria and the quality of information input, and on decision-making in uncertain and risky conditions. It thoroughly considers the issue of searching the optimum decision-making stratégy utilising principles of dynamic programming and game theory.
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| Learning Outcomes of the Course Unit |
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- student will be able to apply obtained knowledge from the subject Exact methods I and will extend it by various forms of postoptimal analysis,
- student will understand how to choose among individual decision making criteria and quality of information input to decision making under uncertainty and risk conditions,
- student will be able to find an optimal decision making strategy by application of dynamic modelling principles
- student will know how to solve managerial decision making tasks by application of game theory
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| Course Contents |
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1. Exact elements of decision making process of the operational and strategic management.
2. Generating and rating version of solving decision making process. Version rating.
3. Mono-criterial and multi-criterial version rating decision making process.
4. Mathematic programming and its instrument of the optimalization.
5. Linear and non-linear problem and its optimalization. Duality of problem. 6. Parametric programming and sensibility of the problem.
7. Dynamic programming.
8. Time-costs optimalization.
9. Waiting-line theory - kinds of models. Monte-Carlo algorithm.
10. Sequence theory - Johnson algorithm and Johnson-Pruckner algorithm.
11. Theory of reserves - stochastic and deterministic models.
12. Renewal theory - optimalization models.
13. Game theory and strategic behavior.
14. Structural analyses. |
| Recommended or Required Reading |
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| Required Reading: |
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KENNETH, D. L. and G. KLEINMAN. Applications of Management Science. New Jersey: Emerald Group Publishing Limited, 2015. ISBN 978-1-78441-211-1.
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.
ANDERSON, D. Ray. Introduction to management science: quantitative approaches to decision making. Andover: Cengage Learning, 2014. ISBN 978-1-4080-8840-1. |
FOTR, J. aj. Manažerské rozhodování. Praha: Ekopress, 2016. ISBN 978-80-87865-33-0.
GROS, I. a J. DYNTAR. Matematické MODELY pro manažerské rozhodování. Praha: Vysoká škola Chemicko-technologická, 2015. ISBN 978-80-7080-910-5.
FIALA, P. aj. Operační výzkum: nové trendy. Praha: Professional Publishing, 2011. ISBN 978-80-74310-36-2.
KENNETH, D. L. and G. KLEINMAN. Applications of Management Science. New Jersey: Emerald Group Publishing Limited, 2015. ISBN 978-1-78441-211-1. |
| 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 |