040247 KU Transportation Analytics and Optimization Tools (MA) (2023W)

6.00 ECTS (3.00 SWS), SPL 4 - Wirtschaftswissenschaften

Continuous assessment of course work

ON-SITE

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).

Registration is open from Mo 11.09.2023 09:00 to Fr 22.09.2023 12:00
Registration is open from Tu 26.09.2023 09:00 to We 27.09.2023 12:00
Deregistration possible until Fr 20.10.2023 23:59

Details

max. 30 participants

Language: English

Lecturers

Christian Tilk

Classes (iCal) - next class is marked with N

Mandatory presence for the presentation of the group projects: Friday, 15th of December (9:45 - 16:30 with breaks)

    
    Friday
    06.10.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    13.10.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    19.10.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    20.10.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    27.10.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    03.11.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    09.11.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    10.11.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    17.11.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    23.11.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    24.11.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    30.11.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    01.12.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    07.12.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    15.12.
    09:45 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    15.12.
    13:15 - 16:30
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    11.01.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    12.01.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Thursday
    18.01.
    15:00 - 16:30
    PC-Seminarraum 5  Oskar-Morgenstern-Platz 1  1.Untergeschoß
    
    Friday
    19.01.
    11:30 - 13:00
    PC-Seminarraum 1, Kolingasse 14-16, OG01
    
    Friday
    26.01.
    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.
In the optimization tools part of the course, we will learn how solution methods can be implemented by using different optimization tools. These tools will be applied in several homework assignments.
A basic OR knowledge is strongly recommended. Experience in using modelling languages or coding is beneficial. According to the flipped classroom principle, students will prepare a presentation in groups and present in class.

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

[40%] Final written exam (Friday 26.01.2024 11:30 - 13:00)
[20%] Group project: Present a variant of the vehicle routing problem and explain a solution method from the literature. Discuss applications and shortcomings. (Submit until 4th of December 23:59)
[20%] Presentation of Group Project in class (Friday, 15th of December, 9:45 - 16:30 with breaks)
[20%] Homework assignments (modelling and coding)

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: Th 19.10.2023 17:27