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Vorlesung: Introduction to Production and Transportation Planning - Details
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Lehrveranstaltung wird online/digital abgehalten.

Allgemeine Informationen

Veranstaltungsname Vorlesung: Introduction to Production and Transportation Planning
Semester WS 2017/18
Aktuelle Anzahl der Teilnehmenden 0
Heimat-Einrichtung Prof. Dr. Axel Tuma - Production & Supply Chain Management
Veranstaltungstyp Vorlesung in der Kategorie Lehre
Erster Termin Mittwoch, 18.10.2017 14:00 - 15:30, Ort: (Room 2101, Building J - Faculty of Business and Economics)
Art/Form Only for Incoming Students
Online/Digitale Veranstaltung Veranstaltung wird online/digital abgehalten.
Hauptunterrichtssprache englisch
ECTS-Punkte 5

Räume und Zeiten

(Room 2101, Building J - Faculty of Business and Economics)
Mittwoch, 18.10.2017, Mittwoch, 25.10.2017, Mittwoch, 22.11.2017, Mittwoch, 29.11.2017, Mittwoch, 06.12.2017, Mittwoch, 13.12.2017, Mittwoch, 10.01.2018, Mittwoch, 24.01.2018 14:00 - 15:30
(Room 2102, Building J - Faculty of Business and Economics)
Mittwoch, 08.11.2017, Mittwoch, 15.11.2017, Mittwoch, 17.01.2018 14:00 - 15:30

Kommentar/Beschreibung

Production and transportation planning are essential elements of Supply Chain Management aimed to fulfill customer demands most efficiently. The course starts with a general introduction to Supply Chain Management and Advanced Planning. The students will be made familiar with basic terms and concepts of both. Afterwards, students will learn which planning problems in these areas exist, how specific planning problems are analyzed and structured, and with which advanced planning methods the corresponding planning/decision problems can be solved. The used planning methods from the field of Operations Research are first introduced theoretically and afterwards applied within examples. Their application will be further deepened by exercises.
After the course, students will know about the overall planning contexts and interdependencies as swell as the most important planning tasks of both areas and will be able to apply advanced planning methods to fulfill the planning tasks.