Universität Wien FIND

Bedingt durch die COVID-19-Pandemie können kurzfristige Änderungen bei Lehrveranstaltungen und Prüfungen (z.B. Absage von Vor-Ort-Lehre und Umstellung auf Online-Prüfungen) erforderlich sein. Melden Sie sich für Lehrveranstaltungen/Prüfungen über u:space an, informieren Sie sich über den aktuellen Stand auf u:find und auf der Lernplattform moodle. ACHTUNG: Lehrveranstaltungen, bei denen zumindest eine Einheit vor Ort stattfindet, werden in u:find momentan mit "vor Ort" gekennzeichnet.

Regelungen zum Lehrbetrieb vor Ort inkl. Eintrittstests finden Sie unter https://studieren.univie.ac.at/info.

040185 KU Logistics and Material Management (MA) (2020W)

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

The course language is English.

Only students who signed up for the class in univis/u:space are allowed to take the class (that means, that you have to at least be on the waiting list if you want to take this class). No exceptions possible.


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


max. 50 Teilnehmer*innen
Sprache: Englisch


Termine (iCal) - nächster Termin ist mit N markiert

Most of the content of the class will be provided on a weekly basis online in form of slides with audio comments. To practice the new solution approaches, there will be homework examples every week which have to be solved individually and have to be uploaded in Moodle.

Live online sessions are planned for Oct. 6th, where the course modalities will be discussed, Nov. 10th, Nov. 24th and Jan. 19th (Q&A sessions).

The midterm exam will be held on Nov. 17th, the final exam on Jan. 26th. Both will be online.

Additional details and updates will be provided in Moodle.

Dienstag 06.10. 09:45 - 11:15 Digital
Dienstag 13.10. 09:45 - 11:15 Digital
Dienstag 20.10. 09:45 - 11:15 Digital
Dienstag 27.10. 09:45 - 11:15 Digital
Dienstag 03.11. 09:45 - 11:15 Digital
Dienstag 10.11. 09:45 - 11:15 Digital
Dienstag 17.11. 09:45 - 11:15 Digital
Dienstag 24.11. 09:45 - 11:15 Digital
Dienstag 01.12. 09:45 - 11:15 Digital
Dienstag 15.12. 09:45 - 11:15 Digital
Dienstag 12.01. 09:45 - 11:15 Digital
Dienstag 19.01. 09:45 - 11:15 Digital
Dienstag 26.01. 09:45 - 11:15 Digital


Ziele, Inhalte und Methode der Lehrveranstaltung

This course focuses on logistic concepts for designing and operating warehouses. The dimensioning of warehouses, the product allocation, the batch formation and order picker routing as well as the arising packing problems will be discussed.

Furthermore, different lot-sizing models and several solution concepts for them are being presented. The course aims to enable students to understand and solve the major decision problems faced in warehousing operations and lot-sizing.

Homework exercises will be used to practice the learned methods.

Art der Leistungskontrolle und erlaubte Hilfsmittel

A total of 100% can be obtained by:

- homework assignments (20%; weekly)
- midterm exam (40%, online: Nov. 17th, 2020)
- final exam (40%, online: Jan. 26th., 2021)

The homework examples have to be uploaded in Moodle.

Mindestanforderungen und Beurteilungsmaßstab

At least 50% have to be obtained for a positive grade. The other grades are distributed as follows:
4: 50% to <63%
3: 63% to <75%
2: 75% to <88%
1: 88% to 100%


All content discussed in the course (slides are of major relevancy), including

- Warehouse design
- Order batching
- Order picking
- Bin packing
- Dynamic lotsizing problems:
o big-bucket and small-bucket problems
o multi-level problems
o with and without capacity constraints


- Cachon, G., Terwiesch, C. (2009), Matching Supply with Demand, 3rd edition, McGraw-Hill
- Tempelmeier (2008), Material Logistik, 7. Auflage, Springer
- Nahmias (2009), Production and Operations Analysis, 6th ed., Mc. Graw Hill
- Silver, E.A., Pyke, D.F., Peterson, R. (1998), Inventory Management and Production Planning and Scheduling, 3rd edition, Wiley.

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 05.10.2020 10:08