Universität Wien

040247 KU Transportation Analytics and Optimization Tools (MA) (2024S)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 30 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Mandatory presence:
First and second Lecture (7th and 8th of March)
Midterm Exam (10th of May)
Group project presentations (31th of May 9:45 -- 16:30 with breaks)
Final Exam (28th of June)

  • Thursday 07.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 08.03. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 14.03. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 15.03. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 12.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 18.04. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 19.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 25.04. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 26.04. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 02.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 03.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 10.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 23.05. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 24.05. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 31.05. 09:45 - 16:30 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 06.06. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 07.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Thursday 13.06. 15:00 - 16:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Friday 14.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 21.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Friday 28.06. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01

Information

Aims, contents and method of the course

This course deals with basic and advanced methods for the resolution of vehicle routing problems. The course deals with classical and new variants of the vehicle routing problem, e.g., the vehicle routing problem with time windows, pick-up-and-delivery problems, and problems with synchronization aspects. Moreover, current trends in transport logistics are discussed (e.g., ride sharing, electric vehicles, sustainability aspects, ...).
The course focus on state-of-the-art components of exact as well as heuristic solution methods. Regarding exact methods, we learn about the components of branch-price-and-cut algorithms. On the heuristic side, local search methods and large neighborhood search are covered.
A basic OR knowledge is strongly recommended. According to the flipped classroom principle, students will prepare a presentation in groups and present in class.
In the optimization tools part of the course, we will learn how solution methods can be implemented in C++. This includes several homework assignments. Experience in using modelling languages or coding is strongly recommended.

Note: You can participate either in the course 'Transportation Analytics'
or in the course 'Transportation Analytics and Optimization Tools' (not in both)!

Assessment and permitted materials

[25%] Midterm written exam (Friday 10th of May )
[25%] Final written exam (Friday 28th of June)
[25%] Group project with presentation in class: Present a variant of the vehicle routing problem and explain a solution method from the literature. Discuss applications and shortcomings. (Submission of presentation until Thursday 30th of May, 23:59 and presentations on Friday, 31th of May 9:45 - 16:30h with breaks).
[25%] Homework assignments (modelling and coding in C++)

The use of AI tools (e.g. ChatGPT) for the production of texts is not permitted!

Minimum requirements and assessment criteria

At least 50% of the overall total achievable score must be obtained for a positive grade.

Examination topics

Lecture and exercise notes, literature excerpts, usage of optimization tools

Reading list

Toth, P. and Vigo, D.: Vehicle Routing: Problems, Methods, and Applications. Philadelphia: SIAM, 2014. –ISBN 978-1-611973-58-7

Association in the course directory

Last modified: We 31.07.2024 11:25