Course: Quantitative Methods in Management Decision Making

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Course title Quantitative Methods in Management Decision Making
Course code KPE/KMR-D
Organizational form of instruction Lecture
Level of course Doctoral
Year of study not specified
Semester Winter and summer
Number of ECTS credits 10
Language of instruction Czech
Status of course Compulsory-optional
Form of instruction Face-to-face
Work placements Course does not contain work placement
Recommended optional programme components None
Lecturer(s)
  • Žižka Miroslav, prof. Ing. Ph.D.
Course content
1. New trends a application of quantitative methods in management. 2. Complex supply chains and networks management. 3. Optimalization of supplies in multistage supply chain. 4. Modelling of circuit and distribution problems. 5. Models of data envelopment analysis. Modification of DEA models. 6. Simulation methods. Application of simulation in analysis business processes. 7. Decision making theory. Models of decision making situation. 8. Linear models of decision making situation Integral programming. 9. Multi-criteria decision making methods. Non-linear relations in decision making models. 10. Decision making models with random inputs. Models of dynamical and conflict decision making situations.

Learning activities and teaching methods
Monological explanation (lecture, presentation,briefing), Self-study (text study, reading, problematic tasks, practical tasks, experiments, research, written assignments)
  • Contacts hours - 20 hours per semester
  • Semestral paper - 100 hours per semester
  • Home preparation for classes - 100 hours per semester
  • Preparation for exam - 80 hours per semester
Learning outcomes
Broadening and deepening of knowledge mainly in the field of the complex supply chains and networks management, evaluation of efficiency of production units, computer-aided simulation of business processes and decisions-making models.
Knowledge of quantitative methods
Prerequisites
Knowledge of quantitative methods on the master level.

Assessment methods and criteria
Combined examination, Oral presentation of self-study

Elaboration of a semestral project aimed at the use of quantitative methods in relation to the dissertation.
Recommended literature
  • DLOUHÝ, M., J. JABLONSKÝ, a P. ZÝKOVÁ. Analýza obalu dat. Praha: Professional Publishing, 2018. ISBN 978-80-88260-12-7.
  • DYNTAR, J. Návrh a optimalizace dodavatelských systémů s využitím dynamické simulace.. Praha: FinEco, 2018. ISBN 978-80-86590-15-8.
  • FIALA, P. Dynamické vytváření cen a alokace zdrojů v sítích.. Praha: Professional Publishing, 2016. ISBN 978-80-7431-157-4.
  • JABLONSKÝ J. a M. DLOUHÝ. Modely hodnocení efektivnosti a alokace zdrojů. Praha: Professional Publishing, 2015. ISBN 978-80-7431-155-0.
  • LAGOVÁ, M. a J. JABLONSKÝ. Lineární modely. Praha: Oeconomica, 2014. ISBN 978-80-245-2020-9.
  • SHAH, N. H. a M. MITTAL. Optimization and Inventory Management. Singapore: Springer, 2019. ISBN 978-9811-39697-7.
  • TALBI, E. G., F. YALAOUI, a L. AMODEO. Metaheuristics for Production Systems. Cham: Springer International Publishing, 2019. ISBN 978-3-319-79471-6.
  • ZHU, J. Quantitative Models for Performance Evaluation and Benchmarking: Data Envelopment Analysis with Spreadsheets. Cham: Springer, 2015. ISBN 978-3-319-06646-2.


Study plans that include the course
Faculty Study plan (Version) Category of Branch/Specialization Recommended year of study Recommended semester
Faculty: Faculty of Economics Study plan (Version): Business Economics and Management (2013) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Economics Study plan (Version): Business Economics and Management (2016) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Economics Study plan (Version): Business Economics and Management (2013) Category: Economy - Recommended year of study:-, Recommended semester: -
Faculty: Faculty of Economics Study plan (Version): Business Economics and Management (2016) Category: Economy - Recommended year of study:-, Recommended semester: -