Universität Wien
Achtung! Das Lehrangebot ist noch nicht vollständig und wird bis Semesterbeginn laufend ergänzt.

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

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
VOR-ORT
Fr 11.10. 11:30-13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01

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

  • Donnerstag 17.10. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 18.10. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 24.10. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 25.10. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 31.10. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 08.11. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 14.11. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 15.11. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Freitag 22.11. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 28.11. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 29.11. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Freitag 06.12. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 12.12. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Donnerstag 09.01. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 10.01. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Freitag 17.01. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Donnerstag 23.01. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Freitag 24.01. 11:30 - 13:00 PC-Seminarraum 1, Kolingasse 14-16, OG01
  • Freitag 31.01. 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 22nd of November)
[25%] Final written exam (Friday 31st of January)
[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 12th of December, 23:59 and presentations on Friday, 13th of December 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 04.09.2024 09:05