• 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.
• 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.