Universität Wien

390029 DK PhD-BALOR: Advanced Topics in Operations Management (2024W)

5.00 ECTS (2.00 SWS), SPL 39 - Doktoratsstudium Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
Mo 13.01. 08:00-13:00 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock

An/Abmeldung

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

Details

max. 24 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

  • Montag 13.01. 13:15 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Dienstag 14.01. 09:45 - 11:15 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Dienstag 14.01. 11:30 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Mittwoch 15.01. 09:45 - 13:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Mittwoch 15.01. 13:15 - 16:30 Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 16.01. 09:45 - 11:15 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Donnerstag 16.01. 11:30 - 16:30 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 17.01. 09:45 - 11:15 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Freitag 17.01. 11:30 - 13:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

The course will cover several advanced applications of operational research methods in intra-logistics, including warehousing, order picking, sorting, facility layout, and facility location. In addition to theoretical knowledge, the students will acquire computational skills to reproduce and improve on the methods presented in the literature.
The course is based on several recently published research papers by the lectures and by others.

Art der Leistungskontrolle und erlaubte Hilfsmittel

The students will be evaluated based on
1. A term paper on a topic related to the course (approved by the lecturer in advance). Submit by the end of February 22, 2025
2. Presentation of the term paper in 25 minutes presentation (online session)
The term paper can be written in teams of one or two students.

Mindestanforderungen und Beurteilungsmaßstab

1. Knowledge of fundamental OR techniques such as integer and linear programming, dynamic programming, etc.
2. Decent programming skills in Python
3. Some familiarity with IBM Cplex (a commercial solver)
4. Please bring your laptop to class with your favorite Python developing environment and Cplex API installed. Feel free to contact me if you need help with this.

Prüfungsstoff

Contents of the course.

Literatur

Reading list:
1. Bartholdi, J.J. and S.T. Hackman, 2019, Warehouse & Distribution Science, Release 0.98.1, www.warehouse-science.com.
2. Tompkins, J.A., White, J.A., Bozer, Y.A. and Tanchoco, J.M.A., 2010. Facilities planning. John Wiley & Sons..
3. Heragu, S., 2022, Facilities design, CRC Press Inc., 5rd Ed., 2022.
4. Bukchin, Y., and Raviv, T. "A comprehensive toolbox for load retrieval in puzzle-based storage systems with simultaneous movements." Transportation Research Part B: Methodological 166 (2022): 348-373.
5. Raviv, T., Bukchin, Y. and de Koster, R., 2023. Optimal retrieval in puzzle-based storage systems using automated mobile robots. Transportation Science, 57(2), pp.424-443.
6. Bukchin, Yossi, and Tal Raviv. "Constraint programming for solving various assembly line balancing problems." Omega 78 (2018): 57-68.
7. Raviv, T., 2023. The service points’ location and capacity problem. Transportation Research Part E: Logistics and Transportation Review, 176, p.103216.
Lecture notes will be made available during the course.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mi 11.12.2024 10:47