Universität Wien

040011 KU Special Topics in Smart Production and SCM (MA) (2018S)

4.00 ECTS (2.00 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. 50 participants
Language: English

Lecturers

Classes (iCal) - next class is marked with N

Midterm exam: 15.05.2018 at 8:00-9:30 am PC 5
Final exam: 26.6.2018 at 9:45-11:15 am PC 5

  • Tuesday 06.03. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Friday 09.03. 15:00 - 16:30 PC-Seminarraum 2 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 13.03. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 20.03. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 10.04. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 17.04. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 24.04. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 08.05. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 08.05. 11:30 - 13:00 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 15.05. 08:00 - 09:30 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 15.05. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 29.05. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 05.06. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 12.06. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Tuesday 19.06. 09:45 - 11:15 Hörsaal 3 Oskar-Morgenstern-Platz 1 Erdgeschoß
  • Wednesday 20.06. 09:45 - 11:15 Hörsaal 9 Oskar-Morgenstern-Platz 1 1.Stock
  • Friday 22.06. 09:45 - 11:15 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Tuesday 26.06. 09:45 - 11:15 PC-Seminarraum 5 Oskar-Morgenstern-Platz 1 1.Untergeschoß
  • Monday 02.07. 18:30 - 19:30 PC-Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Untergeschoß

Information

Aims, contents and method of the course

The course special topics in production, logistics and supply chain management (SCM) focuses on a selection of new and interesting applications in logistics. The considered applications are in the field of humanitarian logistics, green logistics, logistics in health care. All the selected applications have in common that besides the classical cost-oriented objectives also client-centered or environmental-centered objectives are of importance. Therefore in these applications usually more than one objective is of relevance. From a theoretical point of view the course has a strong focus on the three important steps in solving a real-world decision problem: modelling, developing a solution technique and data analytics. In the modelling part mainly mixed integer programs will be developed – with a focus on multiple objectives. As solution techniques commercial solvers (excel), heuristics, column-generation based heuristics and set covering/set partitioning based heuristics are designed and used. In the generation of input data machine learning and deep learning concepts are deviced. At the end of the course the student should be able to model (basic) real-world problems, design mixed-integer programming based heuristics and understand the basics of machine and deep learning.

Assessment and permitted materials

20% homework presented and discussed in class (including a short seminar presentation), 40% midterm exam, 40% final exam.

Minimum requirements and assessment criteria

20% homework presented and discussed in class (including a short seminar presentation), 40% midterm exam, 40% final exam.

Examination topics

Gianpaolo Ghiani, Gilbert Laporte, Roberto Musmanno (2013), Introduction
to Logistics Systems Management, 2nd edition
Research articles

Reading list

Association in the course directory

Last modified: Mo 07.09.2020 15:28