040010 KU Special Topics in Smart Production and SCM (MA) (2017S)

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).

Registration is open from We 15.02.2017 09:00 to We 22.02.2017 12:00
Deregistration possible until Tu 14.03.2017 23:59

Details

max. 60 participants

Language: English

Lecturers

Karl Franz Dörner

Classes (iCal) - next class is marked with N

The midterm exam will presumably take place from 13:15 to 14:45 on May 2nd, 2017 in room PC 1. The final exam will presumably take place from 13:15 to 14:45 on June 27th, 2017 in room HS 12.

Tuesday 07.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 14.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 15.03. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 21.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 28.03. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 04.04. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 25.04. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Wednesday 26.04. 09:45 - 11:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 02.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Tuesday 09.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 16.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 23.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 30.05. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 13.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 20.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
Tuesday 20.06. 15:00 - 16:30 Seminarraum 1 Oskar-Morgenstern-Platz 1 Erdgeschoß
Tuesday 27.06. 13:15 - 14:45 Hörsaal 12 Oskar-Morgenstern-Platz 1 2.Stock
PC-Seminarraum 5 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