The following topics will be addressed:
- Introduction to simulation
- Planning methods for logisitcs (Kanban, MRP)
- Output analysis (confidence interval, pivot tables)
- Simulation and optimization (parameter variation)
- Network design under uncertainty
Syllabus
Titel
5357 SBWL, SNS Class III - Supply Chain Modelling and Design
LV-Leiter/innen
Dipl.-Ing.(FH) Alexander Hübl, PhD, MSc, BSc
Kontakt
-
LV-Typ
PI -
Semesterstunden
2 -
Unterrichtssprache
Englisch
Anmeldung
11.02.2019 bis 22.02.2019
Anmeldung über LPIS
Hinweise zur LV
Planpunkt(e) Bachelor
Termine
| Wochentag | Datum | Uhrzeit | Raum |
|---|---|---|---|
| Montag | 01.04.2019 | 09:30 - 12:00 | TC.2.03 |
| Montag | 08.04.2019 | 09:30 - 12:00 | TC.2.02 |
| Mittwoch | 10.04.2019 | 09:30 - 12:00 | TC.0.01 ERSTE |
| Montag | 29.04.2019 | 09:30 - 12:00 | TC.5.01 |
| Montag | 06.05.2019 | 09:30 - 12:00 | TC.3.05 |
| Mittwoch | 08.05.2019 | 09:30 - 12:00 | TC.2.02 |
| Montag | 13.05.2019 | 09:30 - 12:00 | TC.3.21 |
| Mittwoch | 15.05.2019 | 12:00 - 14:30 | TC.5.27 |
| Freitag | 17.05.2019 | 18:00 - 19:00 | TC.2.03 |
| Mittwoch | 22.05.2019 | 13:00 - 15:30 | TC.0.02 Red Bull |
Auf dieser Seite:
- Kontakt
- Inhalte der LV
- Lernergebnisse (Learning Outcomes)
- Regelung zur Anwesenheit
- Lehr-/Lerndesign
- Leistung(en) für eine Beurteilung
- Teilnahmevoraussetzung(en) und Vergabe von Wartelistenplätzen
- Empfohlene inhaltliche Vorkenntnisse
- Erreichbarkeit des/der Vortragenden
- Literatur
- Detailinformationen zu einzelnen Lehrveranstaltungseinheiten
After successfully passing the class, students should be able to know and apply the models and theories of network design in supply chains.
Furthermore, they should be able to develop and validate simulation and optimization models that allow them to compare different network design configurations and to find the optimal network design for a given situation.
Attendance in the first lecture is mandatory for the participation in the course. If an absence cannot be avoided inform the lecturer before class and provide some form of proof for the absence (e.g. medical confirmation) in the next session. In total, a minimum requirement for attendance of 80% is required to pass the course.
If the attendance falls below 80% for students receiving partial credit, students are graded with 5 (Nicht genügend). See further: https://www.wu.ac.at/fileadmin/wu/h/students/Pruefungsorganisation/Gesetzesgrundlagen/Pruefungsordnung_03.12.2014.pdf
Presentations, in-class exercises, HW assignments, quiz
Homework assignments: 40%
Presentation and report of a case: 20%
Final exam: 40 %
Cooperation with other students on homework assignments is encouraged. However, the final write-up must be done individually. ‘Duplicate’ homework write-ups are unacceptable and will receive a score of zero. (Any homework that is late will receive a score of zero.)
Grading scale:
- Excellent (1): 87.5% - 100.0%
- Good (2): 75.0% - <87.5%
- Satisfactory (3): 62.5% - <75.0%
- Sufficient (4): 50.0% - <62.5%
- Fail (5): <50.0%
Prerequisite for passing the course: minimum performance of 50% in the final examination.
Admission for the SBWL is done by the institute for transport and logistics management: https://www.wu.ac.at/itl/lehre/bachelor/sbwl/sns/
Additional questions related to Admission, please refer to sbwl-sns@wu.ac.at
The previous completion of a course introducing linear and integer programming is recommended for the participation in this course.
Per email or after class
Zuletzt bearbeitet: 13.12.2018
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