Universität Wien

040215 KU Supply Chain Management (MA) (2024W)

8.00 ECTS (4.00 SWS), SPL 4 - Wirtschaftswissenschaften
Continuous assessment of course work

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 25.11. 09:45-11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Tuesday 01.10. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 07.10. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 07.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 08.10. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 14.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 15.10. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 21.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 22.10. 08:00 - 09:30 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 22.10. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 28.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 29.10. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 04.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 05.11. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 11.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 12.11. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 18.11. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 18.11. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
    PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 19.11. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 26.11. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 02.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 03.12. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 09.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 10.12. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 16.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 17.12. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Tuesday 07.01. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 13.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 14.01. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
  • Monday 20.01. 09:45 - 11:15 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
    Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 21.01. 08:00 - 09:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 21.01. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock
    PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 27.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Tuesday 28.01. 09:45 - 11:15 Hörsaal 17 Oskar-Morgenstern-Platz 1 2.Stock

Information

Aims, contents and method of the course

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)".

Assessment and permitted materials

A total of 100% can be obtained by:
- homework assignments: 20%; continuously throughout the semester; presentations of examples in class. Homework submissions have to be students' own work.
- a written midterm exam in presence, on-site (Oskar-Morgenstern-Platz 1): 30% (Excel Solver based), 18.11.2024 (9.15-11.15, PC labs)
- Final exam (in presence and oral examination)
presence, on-site (OMP 1): 30%, on 20.01.2025 (9.45-11.15)
- Projects/Seminar Presentation: 20% - Deadline (end of day), Presentations will be held at the end of the semester on January 27th and 28th: ethe exact teams and time slots will be determined during the semester.
The Beer Game (for which additional points can be obtained) will take place at the start and end of the semester: 07.10.2024 & 21.01.2025 (PC lab).

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).

Minimum requirements and assessment criteria

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. To obtain full points for the homework, students must be present in the session in which the homework is presented, homework submissions have to be students' own work.

Examination topics

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).

Reading list

- 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

Association in the course directory

Last modified: Su 17.11.2024 16:05