Students will understand the modern methods of managerial decision making, which can be used in industrial processes and systems. They will be able to formulate and analyse problems, to define permissible variations, to choose and apply the appropriate approach to its solution.
Terminated in academic year 2000/2001
Managerial Decision Making
| Type of study | - |
|---|---|
| Language of instruction | Czech |
| Code | 634-0932/00 |
| Abbreviation | MR |
| Course title | Managerial Decision Making |
| Coordinating department | Department of Economics and Management in Industry |
| Course coordinator | Fiktivní Uživatel |
Course aims
Literature
TURBAN, E., R. SHARDA and D. DELEN. Decision Support and Business Intelligence Systems. Harlow: Pearson, 2014. ISBN 978-1-292-02426-4.
GUO, Z. Intelligent Decision-Making Models for Production and Retail Operations. Berlin: Springer, 2016. ISBN 978-3-662-52679-8 .
DOSTÁL, P. Advanced Decision Making in Business and Public Services. Brno: CERM Akademické nakladatelství, 2013. ISBN 978-80-7204-837-3 .
GUO, Z. Intelligent Decision-Making Models for Production and Retail Operations. Berlin: Springer, 2016. ISBN 978-3-662-52679-8 .
DOSTÁL, P. Advanced Decision Making in Business and Public Services. Brno: CERM Akademické nakladatelství, 2013. ISBN 978-80-7204-837-3 .
Advised literature
ANDERSON, D. R. Introduction to Management Science: Quantitative Approaches to Decision Making. Andover: Cengage Learning, 2014. ISBN 978-1-4080-8840-1.
ISHIZAKA, A. and P. NEMERY. Multi-Criteria Decision Analysis: Methods and Software. Chichester: Wiley, 2013. ISBN 978-1-119-97407-9.
ISHIZAKA, A. and P. NEMERY. Multi-Criteria Decision Analysis: Methods and Software. Chichester: Wiley, 2013. ISBN 978-1-119-97407-9.