390053 DK PhD-BALOR: Advanced Topics in Logistics and Supply Chain Management (2023W)
Prüfungsimmanente Lehrveranstaltung
Labels
An/Abmeldung
Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").
- Anmeldung von Mo 11.09.2023 09:00 bis Fr 22.09.2023 12:00
- Abmeldung bis Fr 20.10.2023 23:59
Details
max. 15 Teilnehmer*innen
Sprache: Englisch
Lehrende
Termine (iCal) - nächster Termin ist mit N markiert
- Montag 08.01. 09:45 - 11:15 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Montag 08.01. 13:15 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Dienstag 09.01. 09:45 - 11:15 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Dienstag 09.01. 13:15 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Mittwoch 10.01. 09:45 - 11:15 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Mittwoch 10.01. 13:15 - 16:30 Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
- Donnerstag 11.01. 13:15 - 18:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
- Freitag 12.01. 09:45 - 11:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Freitag 12.01. 13:15 - 14:45 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
- Mittwoch 31.01. 15:00 - 18:15 Digital
- Freitag 08.03. 09:45 - 11:15 Digital
Information
Ziele, Inhalte und Methode der Lehrveranstaltung
Art der Leistungskontrolle und erlaubte Hilfsmittel
To successfully attend this course, the students should have general understanding of the following concepts and topics:
- Mathematical modelling
- (Meta) heuristic algorithms
- Basic knowledge about vehicle routing problems.
- Basic competences in programming, with whatsoever coding languageEach student has to bring his/her own laptop to every lecture.
- Mathematical modelling
- (Meta) heuristic algorithms
- Basic knowledge about vehicle routing problems.
- Basic competences in programming, with whatsoever coding languageEach student has to bring his/her own laptop to every lecture.
Mindestanforderungen und Beurteilungsmaßstab
After attending this course students will be able to:
- Discuss how the challenges faced by the waste collection industry enriches the streamlined academic vehicle routing problems.
- Discuss how IoT affects waste collection problems.
- Identify the relevant vehicle routing (and related) problem that best models real-life waste collection situations.
- Select appropriate solution approached for the problems discussed in the course, taking into consideration the scale of the problem and other relevant factors.
- Model and solve the defined problems through proper solvers and/or heuristic algorithms.
- Discuss how the challenges faced by the waste collection industry enriches the streamlined academic vehicle routing problems.
- Discuss how IoT affects waste collection problems.
- Identify the relevant vehicle routing (and related) problem that best models real-life waste collection situations.
- Select appropriate solution approached for the problems discussed in the course, taking into consideration the scale of the problem and other relevant factors.
- Model and solve the defined problems through proper solvers and/or heuristic algorithms.
Prüfungsstoff
The students will work hands-on with implementation of solution for one or several problems from the syllabus. Some amount of time will be provided for this during the lectures, but it should be expected that more time needs to be invested after the lectures.
For assessment, each student makes a 15-20 minutes video presentation, where he/she presents (a selection of) his/her hands-on work together with the relevant theory. This presentation forms the basis of the assessment.
Note, that it is quality and dissemination of the work presented in the video that is assessed, and not the video-making skills.
The hands-on work underlying the presentations is individual, but peer discussions and discussions with the lecturer during the sessions are fully allowed and encouraged.
For assessment, each student makes a 15-20 minutes video presentation, where he/she presents (a selection of) his/her hands-on work together with the relevant theory. This presentation forms the basis of the assessment.
Note, that it is quality and dissemination of the work presented in the video that is assessed, and not the video-making skills.
The hands-on work underlying the presentations is individual, but peer discussions and discussions with the lecturer during the sessions are fully allowed and encouraged.
Literatur
Will be provided on due time before the start of the course.
Zuordnung im Vorlesungsverzeichnis
Letzte Änderung: Di 27.02.2024 11:27
The recent focus on recycling has resulted in new challenges for waste collection companies. In parallel to this, the advances in technology, (specifically, internet of things), has created avenues of new possibilities. Resultingly, the waste collection application has become a true playground for an operations management researcher.
A selection of the technical problems that the student will meet in the course is:
- The traveling salesperson problem
- The capacitated vehicle routing problem
- The capacitated arc routing problem
- Inventory routing problems
- Covering and covering routing problems
To approach these problems, we will use both simple decision rules, (meta)-heuristics and ILP modelling.
Besides the academic content, the lecturer will share some of her experience from a decade of collaboration with the waste industry, thereby providing the students with insight into real-life challenges of waste collection.
While the course has its focus on routing problems in the waste collection application, many of the problems in the course also occur in many other applications.
Teaching form: The course will be a mix of lectures and hands-on work (25-33%)