Universität Wien

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

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. 60 Teilnehmer*innen
Sprache: Englisch

Lehrende

Termine (iCal) - nächster Termin ist mit N markiert

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.

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

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

Zuordnung im Vorlesungsverzeichnis

Letzte Änderung: Mo 07.09.2020 15:28