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Quantitative Methods in Transport

Course Code:
17KMD
Academic Degree:
master
Study Programme:
Technology in Transportation and Telecommunications (N 3710)
semesterlanguagestudy field / specialization
2czech flagLA Logistics and Transport Processes Control - 3708T046
Logistics and Transport Processes Control (N1041A040005)
semesterlanguage
2czech flag
Form of Study:
full-time and part-time
Credits:
6
Number of Hours:
2 + 2 hours per week - in full-time study
14 hours per semester - in part-time study
Type of Course:
obligatory
Course Completion:
credit, exam
Supervisor:
doc. Ing. Denisa MOCKOVÁ, Ph.D.
Course Tutor:
 
roh  Lectures:
doc. Ing. Denisa Mocková, Ph.D.
doc. Ing. Dušan Teichmann, Ph.D.
roh  Training Course:
doc. Ing. Denisa Mocková, Ph.D.
doc. Ing. Dušan Teichmann, Ph.D.
roh  Part-time Study:
doc. Ing. Denisa Mocková, Ph.D.
doc. Ing. Dušan Teichmann, Ph.D.
Supervising Department:
Department of Logistics and Management of Transport (16117)
Keywords:
trees, planar graphs, graph coloring, facility location problems, distribution problems, assignment problem, vehicle routing problems, genetic algorithms
Abstract:
The course focuses on the issue of the use of undirected graphs tree type, planar graphs and their coloring. Further distribution problems, facility location problems are formulated and solved such as models of integer linear programming. Besides the use of exact methods there are described simple and also more sofisticated heuristics (metaheuristics) methods.
Objectives:
The aim of the course is to acquaint students with the key problems of decision making in transport and logistics systems with a focus on solving distribution problems, transport service and facility location problems.