Universität Wien

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

4.00 ECTS (2.00 SWS), SPL 4 - Wirtschaftswissenschaften
Prüfungsimmanente Lehrveranstaltung

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.

An/Abmeldung

Hinweis: Ihr Anmeldezeitpunkt innerhalb der Frist hat keine Auswirkungen auf die Platzvergabe (kein "first come, first served").

Details

max. 50 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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

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

Information

Ziele, Inhalte und Methode der Lehrveranstaltung

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.

Art der Leistungskontrolle und erlaubte Hilfsmittel

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

Mindestanforderungen und Beurteilungsmaßstab

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

Prüfungsstoff

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

Literatur


Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:28