Universität Wien
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390040 DK PhD-L: Advanced Topics in Logistics and Supply Chain Management (2018S)

Continuous assessment of course work

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. 15 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

  • Wednesday 20.06. 08:05 - 09:30 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Wednesday 20.06. 09:45 - 18:00 Hörsaal 16 Oskar-Morgenstern-Platz 1 2.Stock
  • Thursday 21.06. 08:00 - 11:15 Studierzone
  • Thursday 21.06. 11:35 - 13:00 Studierzone
  • Thursday 21.06. 13:15 - 17:00 Seminarraum 4 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 22.06. 08:00 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 22.06. 13:00 - 15:00 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Friday 22.06. 15:00 - 15:15 Seminarraum 16 Oskar-Morgenstern-Platz 1 3.Stock
  • Thursday 28.06. 13:15 - 14:45 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Thursday 28.06. 15:00 - 18:15 Seminarraum 6 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 29.06. 09:45 - 13:00 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß

Information

Aims, contents and method of the course

The course gives an overview on state-of-the-art supply chain modelling and research methods. In particular, uncertainty modelling and optimization approaches with application to multi-echelon inventory management, supply chain design, and supply chain coordination will be presented.

The intended learning outcomes of this course are:

(1) to learn advanced methods of the field, (2) to model problems and solve them using the appropriate methods, (3) to identify relations between the different methods.

Assessment and permitted materials

Homework, Term Project, Final exam

Minimum requirements and assessment criteria

Examination topics

Reading list

A.G. de Kok, S.C. Graves (2003), Supply Chain Management: Design, Coordination and Operations, Handbooks in OR & MS, Vol. 11, Elsevier, Amsterdam

Association in the course directory

Last modified: Mo 07.09.2020 15:46