634-0932/06 – Managerial Decision Making (MR)
| Gurantor department | Department of Economics and Management in Industry | Credits | 10 |
| Subject guarantor | prof. Ing. Radim Lenort, Ph.D. | Subject version guarantor | prof. Ing. Radim Lenort, Ph.D. |
| Study level | postgraduate | Requirement | Choice-compulsory |
| Year | | Semester | winter + summer |
| | Study language | English |
| Year of introduction | 2011/2012 | Year of cancellation | |
| Intended for the faculties | FMT | Intended for study types | Doctoral |
Subject aims expressed by acquired skills and competences
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.
Teaching methods
Individual consultations
Project work
Summary
Advanced methods of managerial decision making, exact decision making methods, multicriterial decision making methods and artificial intelligence methods in decision processes of operational and strategic management of industrial systems.
Compulsory literature:
Recommended literature:
Way of continuous check of knowledge in the course of semester
E-learning
Other requirements
Elaboration of a seminar work on a given topic.
Prerequisities
Subject has no prerequisities.
Co-requisities
Subject has no co-requisities.
Subject syllabus:
• The exact elements in decision-making operational and strategic management of industrial systems.
• Classification of decision-making processes and problems solving methodology of decision-making problems.
• Styles of managerial decision making, group versus the consensus decision-making.
• Methods of Operations Research for managerial decision making.
• Mathematical programming as a tool for optimizing decision-making processes.
• Structural analysis, Leontief‘s material and value production and consumption models.
• Network analysis, critical path method, PERT method.
• Simulation approaches for modelling industrial systems, computer simulation.
• Queuing theory, renewal theory, game and strategic behaviour theory.
• Transport problems, sequencing problems, models for inventory management.
• Multi-criteria decision making, creating variations, selection of criteria, methods for determining weights and multi-criteria evaluation of alternatives.
• The rules, methods and tools of decision making under risk and uncertainty.
• Methods of artificial intelligence, fuzzy logic, artificial neural networks, genetic algorithms, chaos theory.
Conditions for subject completion
Occurrence in study plans
Occurrence in special blocks
Assessment of instruction
Předmět neobsahuje žádné hodnocení.