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Application of Operations Research Methods in Logistics

Course Code:
17AMOL
Academic Degree:
master
Study Programme:
Smart Cities (N1041A040004)
semesterlanguage
2english flag
Form of Study:
full-time
Credits:
3
Number of Hours:
2 + 1 hours per week - in full-time study
Type of Course:
obligatory
Course Completion:
credit, exam
Supervisor:
doc. Ing. Josef VOLEK, CSc.
Course Tutor:
 
roh  Lectures:
doc. Ing. Josef Volek, CSc.
roh  Training Course:
Ing. Alena Rybičková, Ph.D.
Supervising Department:
Department of Logistics and Management of Transport (16117)
Keywords:
operations research methods, graph algorithms, decision making, transport forecasting, scheduling
Abstract:
Exact, heuristic, metaheuristic methods. Static and dynamic shortest path problem. Location analysis, P&R/K&R facilities location. Travelling salesman problem with constraints. Assignment problem and matching algorithms. Decision making in urban transport. Design of urban transport lines. Scheduling in public transport.
Objectives:
Follow up basic problems and methods of graph theory and extend the knowledge of dynamic and constrained problems applicable in logistics and smart cities. Introduce advanced algorithms and operations research tools.