Universität Wien

040215 KU Supply Chain Management (MA) (2021W)

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

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

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. 60 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

It is currently assumed that both the midterm exam as well as the final exam will be written on-site, in presence at Oskar-Morgenstern-Platz 1. However, this may change during the semester due to Covid-19 and may be switched to digital.

Please note that we will have to do mandatory 2,5G checks before both exams. To participate in on-site exams, all students (upon request) have to provide valid proof of being tested or vaccinated or of having recovered from a COVID-19 infection (=2,5G). There will be comprehensive checks before both exams (15.11.2021: 10.00-10.45, 24.01.2022: 8.40-9.40). Only labelled seats may be used in course rooms.

Monday 04.10. 09:45 - 11:15 Digital
Monday 04.10. 11:30 - 13:00 Digital
Monday 11.10. 09:45 - 11:15 Digital
Monday 11.10. 11:30 - 13:00 Digital
Monday 18.10. 09:45 - 11:15 Digital
Monday 18.10. 11:30 - 13:00 Digital
Monday 25.10. 09:45 - 11:15 Digital
Monday 25.10. 11:30 - 13:00 Digital
Monday 08.11. 09:45 - 11:15 Digital
Monday 08.11. 11:30 - 13:00 Digital
Monday 15.11. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 15.11. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 22.11. 09:45 - 11:15 Digital
Monday 22.11. 11:30 - 13:00 Digital
Monday 29.11. 09:45 - 11:15 Digital
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 29.11. 11:30 - 13:00 Digital
Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
Monday 06.12. 09:45 - 11:15 Digital
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 06.12. 11:30 - 13:00 Digital
Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
Monday 13.12. 09:45 - 11:15 Digital
Monday 13.12. 11:30 - 13:00 Digital
Monday 13.12. 15:00 - 16:30 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 13.12. 16:45 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Monday 10.01. 09:45 - 11:15 Digital
Monday 10.01. 11:30 - 13:00 Digital
Monday 17.01. 09:45 - 11:15 Digital
Monday 17.01. 11:30 - 13:00 Digital
Monday 24.01. 11:30 - 13:00 Hörsaal 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

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; exercises to be prepared for the interactive sessions (Collaborate); presentations of examples
- a written midterm exam in presence, on site (Oskar-Morgenstern-Platz 1): 30% (Excel Solver based), 15.11.2021
- Final exam (in presence and oral examination)
presence, on site (OMP 1): 30%, on 24.01.2022 (9.45-13.00)
- Projects/Seminar Presentation: 20% - Deadline (end of day), Presentations will be held 26/27/28/31.01.2022
the exact teams and time slots will be determined.
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.

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: Fr 12.05.2023 00:12