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.

Weitere Informationen zum Lehrbetrieb vor Ort finden Sie unter https://studieren.univie.ac.at/info.

040215 KU Supply Chain Management (MA) (2017W)

8.00 ECTS (4.00 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.

An/Abmeldung

Details

max. 60 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

The first session is on October 2nd, 2017. The course language is English.

Attendance in the first session is mandatory. All students who are not present during the first session will be dropped from class if they did not excuse in advance via e-Mail. All students who confirmed their participation during the first session will be graded.

The midterm exam will presumably take place from 09:45 to 11:15 on November 20th, 2017 in room HS 8. The final exam will presumably take place from 09:45 to 11:15 on January 29th, 2018 in room HS 8.

Only students who signed up for the class in 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.

Montag 02.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 02.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Mittwoch 04.10. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Montag 09.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 09.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 16.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 16.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Dienstag 17.10. 09:45 - 11:15 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Dienstag 17.10. 13:15 - 14:45 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
Montag 23.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 23.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 30.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 30.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 06.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 06.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 13.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 20.11. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 20.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 27.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 27.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 04.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 04.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 11.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 11.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 08.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 08.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 15.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 15.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 22.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 22.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 29.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Montag 29.01. 11:30 - 13:00 Hörsaal 8 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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

A total of 100% can be obtained by:

- homework assignments (20%; students MUST be present in class and prepared to present the exercises in class upon request)
- a term project performed in groups of 2 students (20%)
- a written midterm exam (30%; no course material allowed)
- a written final exam (30%; no course material allowed)

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). Signing for another student will be counted as cheating as well (also during homework sessions).

Students who want to take part in an exam are required to bring their student ID. Otherwise, they will be asked to go to the secretary's office to make a copy of the alternative ID (driver's licence, passport, etc.). Non-official IDs (bank cards, Vorteilscards, etc.) will NOT be accepted without any exceptions. This procedure will not extend the duration of the examination.

The students' IDs will be checked only after handing out the examination sheets. Students who are not on the list or don't have a valid identification card will not be allowed to participate in the examination even if they were already handed an examination sheet.

Mindestanforderungen und Beurteilungsmaßstab

The objective is to get an overview of the basic problems, concepts and technologies of supply chain management and learn 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 exercises.

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. Basic concepts will be illustrated using Excel-sheets. Additionally, an introductory excel tutorial will be offered.

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: Mo 07.09.2020 15:28