Universität Wien FIND

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040215 KU Supply Chain Management (MA) (2020W)

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.


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


max. 60 participants
Language: English


Classes (iCal) - next class is marked with N

Monday 05.10. 09:45 - 11:15 Digital
Monday 05.10. 11:30 - 13:00 Digital
Monday 12.10. 09:45 - 11:15 Digital
Monday 12.10. 11:30 - 13:00 Digital
Monday 19.10. 09:45 - 11:15 Digital
Monday 19.10. 11:30 - 13:00 Digital
Monday 09.11. 09:45 - 11:15 Digital
Monday 09.11. 11:30 - 13:00 Digital
Monday 16.11. 09:45 - 11:15 Digital
Monday 16.11. 11:30 - 13:00 Digital
Monday 23.11. 09:45 - 11:15 Digital
Monday 23.11. 11:30 - 13:00 Digital
Monday 30.11. 09:45 - 11:15 Digital
Monday 30.11. 11:30 - 13:00 Digital
Monday 07.12. 09:45 - 11:15 Digital
Monday 07.12. 11:30 - 13:00 Digital
Monday 14.12. 09:45 - 11:15 Digital
Monday 14.12. 11:30 - 13:00 Digital
Monday 11.01. 09:45 - 11:15 Digital
Monday 11.01. 11:30 - 13:00 Digital
Monday 18.01. 09:45 - 11:15 Digital
Monday 18.01. 11:30 - 13:00 Digital
Monday 25.01. 09:45 - 11:15 Digital
Monday 25.01. 11:30 - 13:00 Digital


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; exercises to be prepared for the interactive sessions (Collaborate); presentations of examples
- a written midterm exam: 30% (Excel-based Take-Home-Exam: online!), 23.11.2020 - 09.45-13.00
- a final exam (50%) which consists of 2 parts:
* Take-Home-Exam (online!): 30%, on 18.01.2021
* Case study: 20% - to be presented in teams of 2 on
25./26./27.01.2021 (via video) - the exact dates and
time slots will be determined individually
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.

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: Mo 05.10.2020 10:08