Universität Wien

040893 KU Supply Chain Management (MA) (2024S)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung
VOR-ORT

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.
Moodle
Mo 06.05. 09:45-11:15 Hörsaal 9 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. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

Montag 04.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 05.03. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 11.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 18.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 19.03. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 08.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 09.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 15.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 16.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 22.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 23.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 29.04. 08:00 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 30.04. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 07.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 14.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 21.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 27.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 28.05. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 03.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Seminarraum 15 Oskar-Morgenstern-Platz 1 3.Stock
Dienstag 04.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Seminarraum 14 Oskar-Morgenstern-Platz 1 2.Stock
Montag 10.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 11.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Montag 17.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 18.06. 08:00 - 09:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Dienstag 18.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 24.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 25.06. 08:00 - 09:30 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 25.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

Supply Chain Management (SCM) is the efficient management of the set of often autonomous parties involved in the design of new products and services, procuring raw materials, transforming them into semi-finished and finished products, and delivery to the end customer. This course is the base module for the Supply Chain Management major and is recommended to be taken prior to other modules of the major. Prior to attending this class on supply chain management, especially if you are not used to applying quantitative solution methods, it is highly recommended to attend the lecture "Management II - Production, Logistics and Supply Chain Management (MA)".

Art der Leistungskontrolle und erlaubte Hilfsmittel

A total of 100% can be obtained by:
- homework assignments: 20%; continuously throughout the semester; exercises to be prepared for the sessions; presentations of examples
- a written midterm exam: 30% Excel-based on 29.04.2024, 9.15-11.15 (PC Labs)
- a final exam (50%) which consists of 2 parts:
* Endterm exam 30%, 17.06.2024, 9.45-11.15
* Case study presentations 20%, end of June (24. & 25.6.2024)
The Beer Game will take place at the start as well as at the end of the semester (5.3. & 18.6.)
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%

Cheating during an examination will be sanctioned according to the university's constitution in its current form (i.e., the entire course will not be graded but marked as cheated and counted as one attempt).

Mindestanforderungen und Beurteilungsmaßstab

The objective is to get an overview of the basic problems, concepts and technologies of supply chain management. Especially, students will learn about quantitative decision support techniques to make decisions in centralized and decentralized value chains. Especially, the coordination of suppliers and manufacturers with the respective information and incentive alignment problems will be discussed and illustrated by experiments.
A maximum of 2 sessions may be missed.

Prüfungsstoff

The course consists of a sequence of lectures, exercise classes and case studies. Further, the participants will learn how to model and analyse supply chain design and control problems using quantitative methods. The topics cover distribution networks, decision tree analysis, real options, forecasting, inventory management, newsvendor problems, contracts, pooling, and economies of scale. Basic concepts will be illustrated using Excel-sheets (basic knowledge of the Excel Solver is required).

Literatur

- Chopra, S., Meindl, P. (2010), Supply Chain Management, 5th edition, Prentice Hall
- Cachon, G., Terwiesch, C. (2009), Matching Supply with Demand, 3rd edition, McGraw-Hill
- Simchi-Levi, D., Kaminsky, P., Simchi-Levi, E. (2008), Designing and Managing the Supply Chain: Concepts, Strategies and Case Studies, 3rd edition, McGraw-Hill
- Dixit, A. K. and Pindyck, R. S., Investment under Uncertainty, Princeton University Press, 1994

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Di 09.04.2024 07:05