Integrovaný systém modulární počítačové podpory výuky ekonomicko-technického zaměření (http://lms.vsb.cz):
- Vzdělávací modul 7 – Výrobně-logistické rozhodování: submodul Teorie hromadné obsluhy, submodul Dynamické programování, submodul Strategické plánování výroby.
- LAMPA, M., ZAPLETAL, F., LENORT, R., WICHER, P., KRAUSOVÁ, E. Exaktní metody rozhodování II. Studijní opory. Ostrava: VŠB-TU Ostrava, 2015.
Terminated in academic year 2020/2021
Exact Methods of Decision Making II
| Type of study | Follow-up Master |
|---|---|
| Language of instruction | Czech |
| Code | 634-3006/01 |
| Abbreviation | EMR II |
| Course title | Exact Methods of Decision Making II |
| Credits | 6 |
| Coordinating department | Department of Economics and Management in Industry |
| Course coordinator | Ing. Martin Lampa, Ph.D. |
Subject syllabus
- Exact elements of decision making process of the operational and strategic management.
- Generating and rating version of solving decision making process. Version rating.
- Mono-criterial and multi-criterial version rating decision making process.
- Mathematic programming and its instrument of the optimalization.
- Linear and non-linear problem and its optimalization. Duality of problem. Parametric programming and sensibility
of the problem.
- Dynamic programming.
- Time-costs optimalization.
- Waiting-line theory - kinds of models. Monte-Carlo algorithm.
- Sequence theory - Johnson algorithm and Johnson-Pruckner algorithm.
- Theory of reserves - stochastic and deterministic models.
- Renewal theory - optimalization models.
- Game theory and strategic behavior.
- Structural analyses.
- Generating and rating version of solving decision making process. Version rating.
- Mono-criterial and multi-criterial version rating decision making process.
- Mathematic programming and its instrument of the optimalization.
- Linear and non-linear problem and its optimalization. Duality of problem. Parametric programming and sensibility
of the problem.
- Dynamic programming.
- Time-costs optimalization.
- Waiting-line theory - kinds of models. Monte-Carlo algorithm.
- Sequence theory - Johnson algorithm and Johnson-Pruckner algorithm.
- Theory of reserves - stochastic and deterministic models.
- Renewal theory - optimalization models.
- Game theory and strategic behavior.
- Structural analyses.
E-learning
Literature
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.
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.
Advised literature
ANDERSON, D. R. Quantitative methods for business. Mason: South-Western Cengage Learning, 2010. ISBN 978-0-324-65181-2.