Universität Wien

040215 KU Supply Chain Management (MA) (2018W)

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

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

  • Monday 01.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 01.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 08.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 08.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 15.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 15.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 22.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 22.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 29.10. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 29.10. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
    PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 05.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 05.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 12.11. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
    Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 12.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 19.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 19.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 26.11. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 26.11. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 03.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 03.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 10.12. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 10.12. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 07.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 14.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.01. 09:45 - 11:15 Hörsaal 7 Oskar-Morgenstern-Platz 1 1.Stock
    Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 21.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.01. 09:45 - 11:15 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.Stock
  • Monday 28.01. 11:30 - 13:00 Hörsaal 8 Oskar-Morgenstern-Platz 1 1.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 (15%; 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 (10% for the written part; 10% for the oral presentation in class)
- a written midterm exam (30%; no course material allowed)
- a written final exam (35%; 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.

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 07.09.2020 15:28