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

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
Moodle

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 30 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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)

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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)!

Art der Leistungskontrolle und erlaubte Hilfsmittel

[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!

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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

Literatur

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 31.07.2024 11:25